Diogenes Autonomous Microservice Gateway
REMOTE · DIOGENES-MICRO-GATEWAY.CORINTH.WORKERS.DEV
Autonomous AI microservices: 55 dynamic guardrails, contract audits & oracles via L402/x402/MPP.
Available components
Last scanned (3 hours ago)
Scores higher than 46% of remote servers
Reachable. Last reached 23 Oct 2026.
Category Crypto and Web3
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security63
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS check failed: the endpoint is reachable over plaintext HTTP. See how to fix → View diagnostics → Fail
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability67
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 13455 tokens (~189/item across 71 items; 71 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability check failed: schema churn in the 4 days we've observed: 15 tool removals, 0 breaking changes, 0 auth/transport breaks, 71 additions. See how to fix → Fail
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 3 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "execute_python_sandbox" implies "execute" and declares readOnlyHint instead, contradicting what its own name says it does. See how to fix → Fail
- An AI judge read all 71 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
- Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 22 Oct 26 +2
- Stability: 0.07 → fail ▼ security
- A breaking change shipped without a version bump: still 2.5.0 ▼ security
- Tool “guardrail_verify” was removed ▼ security
- Tool “agent_context_compaction_verifier” was removed ▼ security
- Tool “agent_hallucination_auditor” was removed ▼ security
- Tool “agent_loop_circuit_breaker” was removed ▼ security
- Tool “agent_mcp_manifest_auditor” was removed ▼ security
- Tool “agent_mcp_router” was removed ▼ security
- Tool “agent_prompt_compiler” was removed ▼ security
- Tool “agent_schema_enforcer” was removed ▼ security
- Tool “agent_sql_guard” was removed ▼ security
- Tool “ai_antigravity_agent” was removed ▼ security
- Tool “ai_audio_live” was removed ▼ security
- Tool “ai_code_gen” was removed ▼ security
- Tool “ai_computer_use” was removed ▼ security
- Tool “ai_deep_research” was removed ▼ security
- Tool “ai_embeddings” was removed ▼ security
- Tool “ai_extract” was removed ▼ security
- Tool “ai_generate” was removed ▼ security
- Tool “ai_grounded_maps” was removed ▼ security
- Tool “ai_grounded_search” was removed ▼ security
- Tool “ai_image_gen” was removed ▼ security
- Tool “ai_music_gen” was removed ▼ security
- Tool “ai_omni” was removed ▼ security
- Tool “ai_robotics” was removed ▼ security
- Tool “ai_summarize” was removed ▼ security
- Tool “ai_tts” was removed ▼ security
- Tool “ai_video_gen” was removed ▼ security
- Tool “clean_data” was removed ▼ security
- Tool “code_sandbox” was removed ▼ security
- Tool “contract_audit” was removed ▼ security
- Tool “crypto_address_poisoning_check” was removed ▼ security
- Tool “crypto_bridge_quote” was removed ▼ security
- Tool “crypto_eip712_permit_decoder” was removed ▼ security
- Tool “crypto_utxo_consolidation_planner” was removed ▼ security
- Tool “eve_gate_route_planner” was removed ▼ security
- Tool “eve_killmail_threat_intel” was removed ▼ security
- Tool “eve_move_assembly_coder” was removed ▼ security
- Tool “eve_network_node_gj_optimizer” was removed ▼ security
- Tool “eve_sovereignty_fuel_radar” was removed ▼ security
- Tool “eve_ssu_market_maker” was removed ▼ security
- Tool “eve_sui_ptb_simulator” was removed ▼ security
- Tool “eve_turret_target_matrix” was removed ▼ security
- Tool “eve_zklogin_character_verifier” was removed ▼ security
- Tool “http402_challenge_verifier” was removed ▼ security
- Tool “json_repair” was removed ▼ security
- Tool “mcp_rugpull_diff” was removed ▼ security
- Tool “mcp_sampling_guard” was removed ▼ security
- Tool “mempool_fee” was removed ▼ security
- Tool “mev_risk” was removed ▼ security
- Tool “mpp_agent_escrow_arbiter” was removed ▼ security
- Tool “mpp_deep_search” was removed ▼ security
- Tool “mpp_session_infer” was removed ▼ security
- Tool “regex_oracle” was removed ▼ security
- Tool “scrub_pii” was removed ▼ security
- Tool “solana_risk” was removed ▼ security
- Tool “swap_rate” was removed ▼ security
- Tool “tool_output_firewall” was removed ▼ security
- Tool “web_brief” was removed ▼ security
- Tool “x402_embeddings” was removed ▼ security
- Tool “x402_solana_priority_fee_oracle” was removed ▼ security
- Tool “x402_token_meta” was removed ▼ security
- Tool “x402_whale_radar” was removed ▼ security
- Schema quality: pass → fail ▼ functional
- Tool coverage: 41% → 100% ▲ functional
- First check of Tool coverage: 100 functional
- Schema quality: fair → excellent functional
- Destructive annotations: pass → 0 functional
- New tool “detect_agent_action_loop” functional
- New tool “detect_mcp_schema_rugpull” functional
- New tool “detect_openapi_breaking_changes” functional
- New tool “diff_agent_memory_checkpoint” functional
- New tool “enforce_json_schema_types” functional
- New tool “estimate_bitcoin_mempool_fees” functional
- New tool “estimate_solana_priority_fees” functional
- New tool “evaluate_ab_statistical_significance” functional
- New tool “evaluate_deterministic_math” functional
- New tool “evaluate_dex_mev_risk” functional
- New tool “evaluate_solana_token_risk” functional
- New tool “execute_antigravity_agent” functional
- New tool “execute_python_sandbox” functional
- New tool “extract_structured_json_entities” functional
- New tool “generate_boundary_test_vectors” functional
- New tool “generate_gemini_completion” functional
- New tool “generate_gemini_embeddings” functional
- New tool “generate_nano_banana_image” functional
- New tool “generate_veo_cinematic_video” functional
- New tool “generate_x402_vector_embeddings” functional
- New tool “heal_malformed_json” functional
- New tool “infer_mpp_streaming_session” functional
- New tool “inspect_solana_token_liquidity” functional
- New tool “isolate_stacktrace_root_cause” functional
- New tool “operate_computer_use_agent” functional
- New tool “plan_bitcoin_utxo_consolidation” functional
- New tool “plan_context_token_budget” functional
- New tool “plan_robotics_spatial_trajectory” functional
- New tool “process_live_audio_dialogue” functional
- New tool “prune_context_skeleton” functional
- New tool “redact_sensitive_pii” functional
- New tool “rerank_hybrid_rag_chunks” functional
- New tool “route_mcp_workflow_plan” functional
- New tool “sanitize_tool_output_stream” functional
- New tool “scan_solana_cpi_reentrancy” functional
- New tool “schedule_critical_path_tasks” functional
- New tool “search_gemini_grounded_maps” functional
- New tool “search_gemini_grounded_web” functional
- New tool “simulate_evm_transaction_calldata” functional
- New tool “simulate_monte_carlo_risk” functional
- New tool “summarize_technical_document” functional
- New tool “synthesize_gemini_speech_audio” functional
- New tool “synthesize_python_automation_code” functional
- New tool “synthesize_safe_regex” functional
- New tool “synthesize_web_intelligence_brief” functional
- New tool “track_solana_whale_flows” functional
- New tool “validate_mcp_sampling_request” functional
- New tool “validate_sql_query_ast” functional
- New tool “verify_a2a_agent_card” functional
- New tool “verify_agent_command_safety” functional
- New tool “verify_context_compaction_fidelity” functional
- New tool “verify_http402_payment_challenge” functional
- New tool “analyze_ast_symbol_graph” functional
- New tool “analyze_omni_multimodal_input” functional
- New tool “apply_fuzzy_code_patch” functional
- New tool “arbitrate_agent_deliverable_escrow” functional
- New tool “audit_mcp_server_manifest” functional
- New tool “audit_module_dependency_cycles” functional
- New tool “audit_outbound_egress_url” functional
- New tool “audit_response_factuality” functional
- New tool “audit_smart_contract_code” functional
- New tool “calculate_spot_swap_rate” functional
- New tool “clean_tabular_dataset” functional
- New tool “compare_crosschain_bridge_routes” functional
- New tool “compile_mpp_research_dossier” functional
- New tool “compile_polyglot_type_schemas” functional
- New tool “compile_xml_agent_prompt” functional
- New tool “compose_lyria_music_track” functional
- New tool “conduct_deep_research_investigation” functional
- New tool “decode_eip712_permit_signature” functional
- New tool “detect_address_poisoning_scam” functional
- 21 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.
- 20 Oct 26 +5
- Authorization: unverified → partial ▲ security
- Schema quality: 768 → 3009 ▼ functional
- Tool coverage: 52% → 41% ▼ functional
- Stability: unverified → 0.03 ▲ functional
- New tool “ai_computer_use” functional
- New tool “ai_deep_research” functional
- New tool “ai_embeddings” functional
- New tool “ai_extract” functional
- New tool “ai_generate” functional
- New tool “ai_grounded_maps” functional
- New tool “ai_grounded_search” functional
- New tool “ai_image_gen” functional
- New tool “ai_music_gen” functional
- New tool “ai_omni” functional
- New tool “ai_robotics” functional
- New tool “ai_summarize” functional
- New tool “ai_tts” functional
- New tool “ai_video_gen” functional
- New tool “clean_data” functional
- New tool “crypto_address_poisoning_check” functional
- New tool “crypto_eip712_permit_decoder” functional
- New tool “crypto_utxo_consolidation_planner” functional
- New tool “eve_killmail_threat_intel” functional
- New tool “eve_sovereignty_fuel_radar” functional
- New tool “eve_ssu_market_maker” functional
- New tool “eve_sui_ptb_simulator” functional
- New tool “eve_turret_target_matrix” functional
- New tool “eve_zklogin_character_verifier” functional
- New tool “http402_challenge_verifier” functional
- New tool “mcp_rugpull_diff” functional
- New tool “mcp_sampling_guard” functional
- New tool “mempool_fee” functional
- New tool “mpp_agent_escrow_arbiter” functional
- New tool “mpp_session_infer” functional
- New tool “scrub_pii” functional
- New tool “swap_rate” functional
- New tool “tool_output_firewall” functional
- New tool “x402_embeddings” functional
- New tool “x402_solana_priority_fee_oracle” functional
- New tool “x402_token_meta” functional
- New tool “x402_whale_radar” functional
- New tool “ai_code_gen” functional
- New tool “ai_antigravity_agent” functional
- New tool “ai_audio_live” functional
- New tool “agent_context_compaction_verifier” functional
- New tool “agent_hallucination_auditor” functional
- New tool “agent_loop_circuit_breaker” functional
- New tool “agent_mcp_manifest_auditor” functional
- New tool “agent_prompt_compiler” functional
- New tool “agent_sql_guard” functional
- 19 Oct 26 53
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 23 Oct 2026 · Probed https://diogenes-micro-gateway.corinth.workers.dev/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=corinth.workers.dev | CN=YE2,O=Let's Encrypt,C=US | 17 Oct 2026 | 15 Jan 2027 | ECDSA 256 | ECDSA-SHA384 | 633c3321385182b27c585c86398dc860724 |
| SANs: *.corinth.workers.dev, corinth.workers.dev | ||||||
| CN=YE2,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 4df3b15dd6c0784c507cd37b58e6f115 |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of diogenes-micro-gateway.corinth.workers.dev. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| dev. | present | 60074 | 8 | Verified |
| workers.dev. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://diogenes-micro-gateway.corinth.workers.dev/mcp | Verified | 200 | |
| http (plaintext) | http://diogenes-micro-gateway.corinth.workers.dev/mcp | Served over HTTP | 200 |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
analyze_ast_symbol_graph Polyglot AST Symbol Extractor, Call Graph & Complexity Analyzer ~182
Static lexer and AST parser only (zero execution or evaluation): extracts imports, exports, classes, interfaces, and functions with line numbers, intra-file call edges, McCabe cyclomatic complexity, and Halstead volume across TypeScript, Python, Rust, Go, and Move. Use when mapping internal functions, call graphs, and complexity hotspots of a source file before refactoring; for analyzing cross-file import DAGs and circular dependencies, use audit_module_dependency_cycles instead. Read-only call (32 KB, 60 RPM): accepts 'source_text' (with enum defaults), uses '?demo=true' or L402 (75 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| code | string | – | Source code file content to parse for symbols and complexity metrics. |
| language | string | – | Programming language grammar used for symbol extraction; defaults to 'typescript' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| functions | array | yes | Extracted functions with line number, cyclomatic_complexity, and outgoing calls. |
| halstead_metrics | object | yes | Halstead vocabulary_size, program_length, volume, and estimated_bugs. |
| high_complexity_hotspots | array | yes | Functions with McCabe cyclomatic complexity >= 8 flagged for refactoring. |
| lines_of_code | integer | yes | Total line count of the analyzed source code. |
No examples provided.
analyze_omni_multimodal_input Gemini Omni Unified Text, Audio & Video Multimodal Analyzer ~169
Analyzes combined multimodal prompts spanning text, image descriptors, audio transcripts, and video temporal events using Gemini Omni Flash. Use when correlating information across multiple media modalities in a single reasoning pass; for running pure text-only reasoning or coding prompts, use generate_gemini_completion instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('modality_focus' defaults to 'cross_modal_synthesis'), supports '?demo=true' or L402 (300 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | Multimodal prompt or media scene description to analyze. |
| modality_focus | string | – | Primary analytical lens applied to the multimodal input; defaults to 'cross_modal_synthesis' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| modalities_processed | array | yes | Modalities integrated during inference. |
| model | string | yes | Executed multimodal model ('gemini-omni-flash'). |
| output | string | yes | Unified multimodal analysis and extracted timeline. |
| success | boolean | yes | True when multimodal processing succeeded. |
No examples provided.
apply_fuzzy_code_patch Self-Healing Fuzzy Unified Diff & Search/Replace Code Patcher ~206
Applies unified diffs (@@ ... @@) or SEARCH/REPLACE blocks to source code using sliding-window token similarity to resolve drifted line numbers, align indentation, and verify bracket balance. Use when healing and applying a code edit or diff that failed exact line matching due to line-number drift or whitespace differences; for inspecting function signatures, call trees, and cyclomatic complexity without modifying code, use analyze_ast_symbol_graph instead. Read-only call (32 KB, 60 RPM): accepts 'original_code' (with enum defaults), uses '?demo=true' or L402 (75 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| fuzz_strategy | string | – | Line-matching tolerance and indentation behavior; defaults to 'whitespace_normalized_auto_indent' when omitted. |
| original_code | string | yes | Complete original source file content before patching. |
| patch | string | yes | Unified diff hunk or <<<<<<< SEARCH ... ======= ... >>>>>>> REPLACE block to apply. |
| Name | Type | Req | Description |
|---|---|---|---|
| hunks_applied | integer | yes | Number of hunks successfully anchored and applied. |
| hunks_total | integer | yes | Total patch hunks parsed from the input patch. |
| patched_code | string | yes | Resulting source code after applying all matched hunks. |
| syntax_balance_verified | boolean | yes | True when post-patch {}, (), and [] delimiters remain balanced. |
No examples provided.
arbitrate_agent_deliverable_escrow Multi-Agent Task Deliverable & Contract Fulfillment Escrow Arbiter ~212
Evaluates a worker agent's submitted task deliverable against agreed contract acceptance criteria to issue a deterministic escrow settlement verdict ('RELEASE_FUNDS_TO_WORKER_AGENT', 'REQUEST_REVISION', or 'REFUND_CLIENT'). Use when settling multi-agent bounties or verifying subcontractor deliverables before releasing MPP/L402 escrow funds; for checking syntactic JSON Schema property types without evaluating semantic contract terms, use enforce_json_schema_types instead. Read-only call (32 KB, 60 RPM): accepts 'deliverable' (with enum defaults), uses '?demo=true' or MPP (150 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| arbitration_standard | string | – | Strictness of contract verification; defaults to 'strict_all_criteria' when omitted. |
| deliverable | string | yes | JSON string or text deliverable submitted by the worker agent. |
| terms | string | – | Contract acceptance criteria that the deliverable must satisfy; defaults to 'Complete verified JSON deliverable' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| arbitration_notes | string | yes | Detailed justification citing satisfied or missing contract clauses. |
| contract_satisfied | boolean | yes | True when the deliverable fulfills all stated contract terms. |
| escrow_action | string | yes | Settlement command ('RELEASE_FUNDS_TO_WORKER_AGENT', 'REQUEST_REVISION', or 'REFUND_CLIENT'). |
| quality_score | integer | yes | Deliverable quality score from 0 to 100. |
No examples provided.
audit_mcp_server_manifest External MCP Server Manifest & Tool-Poisoning Security Auditor ~186
Scans an external MCP server's initial tools/list manifest to detect tool-name shadowing (read_file, bash) and hidden prompt-injection directives in descriptions. Use when vetting a newly discovered third-party MCP server before mounting it into an agent session; for comparing a previously pinned MCP baseline against a live mid-session tools/list response, use detect_mcp_schema_rugpull instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'manifest_json' ('audit_profile' defaults to 'strict'), supports '?demo=true' or L402 (150 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| audit_profile | string | – | Sensitivity level for flagging system-tool name shadowing; defaults to 'strict' when omitted. |
| manifest_json | string | yes | JSON string or object containing the external MCP server's tools array to audit. |
| Name | Type | Req | Description |
|---|---|---|---|
| manifest_safe | boolean | yes | True if zero shadowed tools or description injections are found. |
| security_grade | string | yes | Overall manifest safety grade ('A+', 'C', or 'F'). |
| shadowed_tools | array | yes | Tool names attempting to shadow host privileges (e.g. 'bash', 'read_file'). |
| suspicious_tools | array | yes | Tools containing covert prompt-injection or exfiltration instructions. |
No examples provided.
audit_module_dependency_cycles Tarjan SCC Circular Import Detector & Topological Blast-Radius Solver ~193
Runs Tarjan's Strongly Connected Components (SCC) algorithm on a module import map to detect circular dependencies, compute parallel topological build waves, and trace downstream change blast radius. Use when auditing multi-file import graphs for circular cycles or determining which downstream files must be re-tested after an edit; for extracting function-level symbols and cyclomatic complexity inside a single source file, use analyze_ast_symbol_graph instead. Read-only call (32 KB, 60 RPM): accepts 'modules_json' (with enum defaults), uses '?demo=true' or L402 (75 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| analysis_scope | string | – | Graph analysis output mode; defaults to 'cycles_waves_and_blast_radius' when omitted. |
| modules_json | string | yes | JSON string or object mapping each module name to its array of imported module names (e.g. '{"a":["b"],"b":[]}'). |
| Name | Type | Req | Description |
|---|---|---|---|
| circular_dependencies_detected | boolean | yes | True if one or more circular dependency cycles exist. |
| circular_scc_groups | array | yes | Strongly connected component cycles discovered via Tarjan's algorithm. |
| topological_build_waves | array | yes | Dependency-ordered parallel build/test execution waves. |
| total_modules | integer | yes | Total number of graph vertices analyzed. |
| transitive_blast_radius | array | yes | All upstream callers transitively impacted by the modified modules. |
No examples provided.
audit_outbound_egress_url Outbound Agent URL SSRF, Metadata & Secret Exfiltration Firewall ~198
Static validation firewall for outbound network destination URIs against cloud metadata IP addresses (169.254.169.254), RFC 1918 private IP blocks, and query-string secret exfiltration before agent dispatch. Use when validating a user-supplied or tool-supplied URI destination before network dispatch; for auditing local shell commands or general prompts, use verify_agent_command_safety instead. Read-only edge call (32 KB, 60 RPM): accepts 'destination_uri' ('egress_policy' defaults to 'block_private_and_metadata'), supports '?demo=true' or L402 (65 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| destination_uri | string | yes | Outbound HTTP/HTTPS destination URI to inspect before fetching (e.g. 'https://api.example.com/v1/webhook'). |
| egress_policy | string | – | Network egress policy; defaults to 'block_private_and_metadata' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| egress_allowed | boolean | yes | True if the URL targets a safe public endpoint with no exfiltration tokens. |
| exfiltration_query_params | array | yes | Query parameters suspected of carrying leaked secrets or base64 payloads. |
| ssrf_risk_detected | boolean | yes | True if loopback, RFC1918 private IP, or cloud metadata IP is targeted. |
| verdict | string | yes | Firewall decision ('ALLOW_EGRESS_REQUEST' or 'BLOCK_SSRF_OR_EXFIL'). |
No examples provided.
audit_response_factuality Draft Agent Response Groundedness & Hallucination Auditor ~197
Cross-references factual claims, numbers, and citations in a draft agent response against retrieved source passages to flag unsupported hallucinations before delivery. Use when verifying that a generated answer is 100% grounded in source evidence before returning it to the user; for scrubbing inbound tool outputs for prompt-injection and invisible Unicode, use sanitize_tool_output_stream instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'claim' ('context' defaults to 'standard'), supports '?demo=true' or L402 (150 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| claim | string | yes | Draft agent response or factual statement to verify for hallucinations. |
| context | string | yes | Authoritative source text or retrieved RAG passages that the claim must be grounded in. |
| strictness | string | – | Entailment threshold required for numbers and dates; defaults to 'exact_entailment' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| groundedness_score | number | yes | Factual support ratio from 0.0 (fabricated) to 1.0 (fully entailed). |
| unverified_claims | array | yes | Hallucinated or unsupported assertions flagged for removal. |
| verdict | string | yes | Audit outcome ('PASS', 'SUSPICIOUS', or 'FAIL'). |
| verified_claims | array | yes | Assertions directly entailed by the provided source context. |
No examples provided.
audit_smart_contract_code EVM & Move Smart Contract Honeypot, Tax & Reentrancy Auditor ~188
Statically audits Solidity, Vyper, or Move smart contract source code for honeypot transfer taxes, hidden mint backdoors, proxy upgrade traps, and reentrancy. Use when auditing smart contract source code or bytecode before deploying or interacting with a protocol; for scanning Solana Anchor/Rust programs specifically for Cross-Program Invocation (CPI) signer/account vulnerabilities, use scan_solana_cpi_reentrancy instead. Read-only edge call (32 KB, 60 RPM): accepts 'code_or_address' ('chain' defaults to 'evm_solidity'), uses '?demo=true' or L402 (250 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| chain | string | – | Target blockchain VM architecture; defaults to 'evm_solidity' when omitted. |
| code_or_address | string | yes | Smart contract source code snippet, ABI, or contract address to audit. |
| Name | Type | Req | Description |
|---|---|---|---|
| is_honeypot | boolean | yes | True if transfer restrictions or excessive sell taxes (>10%) are present. |
| risk_level | string | yes | Severity classification ('LOW', 'MEDIUM', 'HIGH', or 'CRITICAL'). |
| security_score | integer | yes | Composite contract safety score from 0 (critical exploit) to 100 (verified safe). |
| vulnerabilities | array | yes | Specific vulnerability findings and line-level remediation advice. |
No examples provided.
calculate_spot_swap_rate Cross-Asset Spot Exchange Rate & Satoshi Conversion Calculator ~165
Calculates instantaneous spot exchange rates and equivalent USD, BTC, and satoshi values across BTC, ETH, SOL, SUI, and USDC. Use when converting a token amount into USD or satoshis for invoice pricing or accounting; for quoting executable non-KYC cross-chain bridge routes with bridge fees and settlement times, use compare_crosschain_bridge_routes instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'currency' ('amount' defaults to 'standard'), supports '?demo=true' or L402 (100 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| amount | number | – | Quantity of the source asset to convert; defaults to 100 when omitted. |
| currency | string | yes | Source asset ticker symbol to convert from. |
| Name | Type | Req | Description |
|---|---|---|---|
| equivalent_sats | integer | yes | Equivalent value denominated in Bitcoin satoshis. |
| source_amount | number | yes | Input asset quantity. |
| source_currency | string | yes | Input asset symbol converted. |
| total_usd_value | number | yes | Equivalent spot value in US Dollars (USD). |
No examples provided.
clean_tabular_dataset Tabular Dataset & Text Deduplication, Whitespace & Normalization Engine ~175
Deduplicates repetitive lines or records, normalizes Unicode whitespace, strips HTML/control noise, and canonicalizes tabular text or JSON arrays. Use when cleaning noisy scraped lists, CSV rows, or duplicate log lines before indexing or analysis; for extracting typed JSON fields from free-form prose paragraphs, use extract_structured_json_entities instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'data' ('normalization_mode' defaults to 'exact_match'), supports '?demo=true' or L402 (100 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| data | string | yes | Raw newline-delimited text, CSV rows, or JSON array string to deduplicate and normalize. |
| normalization_mode | string | – | Deduplication key sensitivity; defaults to 'case_insensitive_trim' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| cleaned_count | integer | yes | Unique non-empty record count after cleanup. |
| cleaned_data | array | yes | Deduplicated, whitespace-normalized records. |
| duplicates_removed | integer | yes | Number of duplicate records eliminated. |
| original_count | integer | yes | Line or record count prior to deduplication. |
No examples provided.
compare_crosschain_bridge_routes Non-KYC Cross-Chain Bridge Route & Settlement Fee Comparator ~204
Compares non-custodial, non-KYC cross-chain swap routes (THORChain native L1 swaps, Maya Protocol, Blockstream Liquid) by basis-point fee, net output sats, and settlement time. Use when routing cross-chain treasury settlements (e.g. Solana USDC or Base ETH into native Bitcoin); for calculating mid-market spot exchange rates without bridge routing fees, use calculate_spot_swap_rate instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'from_asset' ('to_asset' defaults to 'BTC_NATIVE'), supports '?demo=true' or L402 (100 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| amount | number | – | Input asset amount to quote; defaults to 100.0 when omitted. |
| from_asset | string | yes | Origin chain asset identifier to bridge from. |
| to_asset | string | – | Destination chain asset identifier; defaults to 'BTC_NATIVE' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| best_route | string | yes | Optimal non-KYC bridge protocol selected (e.g. 'THORCHAIN_NATIVE_SWAP'). |
| estimated_output_sats | integer | yes | Net settled output denominated in Bitcoin satoshis. |
| fee_bps | integer | yes | Total protocol and slip fee in basis points. |
| kyc_required | boolean | yes | Always false; only non-custodial permissionless routes are returned. |
No examples provided.
compile_mpp_research_dossier Base MPP Session-Metered Multi-Source Research Dossier Compiler ~190
Compiles a structured JSON research dossier ('key_findings', 'synthesis_quality_score', 'sources_cited') settled via Base EVM Machine Payments Protocol (MPP). Use when generating a strict-JSON cited intelligence brief paid via Base USDC MPP session headers; for running long-form narrative research reports via L402 Lightning, use conduct_deep_research_investigation instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'research_topic' ('output_density' defaults to 'concise_5_points'), supports '?demo=true' or MPP (1000 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| output_density | string | – | Granularity of the key_findings array; defaults to 'executive_10_points' when omitted. |
| query | string | – | Research topic or technical question to investigate and structure into JSON. |
| Name | Type | Req | Description |
|---|---|---|---|
| key_findings | array | yes | High-density factual bullet strings synthesized from live sources. |
| query | string | – | Investigated research query. |
| sources_cited | array | yes | Verified grounding source references. |
| synthesis_quality_score | integer | yes | Self-audit completeness score from 90 to 100. |
No examples provided.
compile_polyglot_type_schemas Polyglot JSON -> TypeScript, Zod, Pydantic v2 & JSON Schema Compiler ~219
Inspects a sample JSON payload (inferring UUID, ISO-8601 datetime, email, integer vs float, and array item types) and compiles strict TypeScript interfaces, Zod schemas, Python Pydantic v2 models, and JSON Schema Draft 2020-12. Use when generating static type definitions and runtime validators in TypeScript and Python from a sample JSON response; for extracting existing function/class symbols and complexity metrics from source code, use analyze_ast_symbol_graph instead. Read-only call (32 KB, 60 RPM): accepts 'sample_json' (with enum defaults), uses '?demo=true' or L402 (60 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| root_name | string | – | Identifier used for the generated root interface/class; defaults to 'GeneratedPayload' when omitted. |
| sample_json | string | yes | JSON string or object representing the sample payload to infer types from. |
| strictness | string | – | Schema additionalProperties and format constraint mode; defaults to 'strict_formats' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| json_schema_draft_2020_12 | object | yes | Complete JSON Schema Draft 2020-12 specification. |
| python_pydantic_v2 | string | yes | Compiled Python Pydantic v2 BaseModel class. |
| root_name | string | yes | Sanitized root type/class identifier. |
| typescript_interface | string | yes | Compiled TypeScript export interface definition. |
| zod_schema | string | yes | Compiled TypeScript Zod runtime validator schema. |
No examples provided.
compile_xml_agent_prompt Production XML-Structured System Prompt & Guardrail Compiler ~180
Compiles a raw task description into a structured XML system prompt (<role>, <context>, <objective>, <constraints>, <workflow>, <output_format>) engineered to prevent instruction drift. Use when authoring or upgrading a system prompt for an autonomous agent or sub-agent workflow; for mapping a task objective to a concrete sequence of MCP tool calls, use route_mcp_workflow_plan instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'task' ('prompt_style' defaults to 'anthropic_xml_tags'), supports '?demo=true' or L402 (100 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| prompt_style | string | – | Structural formatting template; defaults to 'anthropic_xml_tags' when omitted. |
| task | string | yes | Raw task instructions, persona goal, and operational constraints to compile. |
| Name | Type | Req | Description |
|---|---|---|---|
| compiled_prompt | string | yes | Complete production-grade XML-structured system prompt. |
| estimated_tokens | integer | yes | Estimated BPE token length of the compiled prompt. |
| key_enhancements | array | yes | Specific guardrails and output contract rules injected. |
| optimization_score | integer | yes | Prompt clarity and constraint-completeness score from 0 to 100. |
No examples provided.
compose_lyria_music_track Google Lyria 3 Instrumental Music & Audio Stem Composer ~177
Composes studio-grade instrumental music tracks, ambient loops, and multi-instrument arrangements from genre, tempo, and mood prompts using Google Lyria 3. Use when generating musical scores, soundtrack stems, or rhythmic audio loops; for converting written text into spoken human voice narration (TTS), use synthesize_gemini_speech_audio instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('genre_preset' defaults to 'cinematic_synth'), supports '?demo=true' or L402 (500 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| genre_preset | string | – | Primary acoustic or electronic genre; defaults to 'cinematic_synth' when omitted. |
| prompt | string | yes | Musical style, instrumentation, BPM tempo, and harmonic mood description. |
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | yes | Music generation model executed ('lyria-3-clip'). |
| notice | string | yes | Composition completion notice. |
| output | string | yes | Generated audio track payload and arrangement metadata. |
| success | boolean | yes | True when Lyria 3 audio synthesis succeeded. |
No examples provided.
conduct_deep_research_investigation Gemini Deep Research Pro Multi-Hop Investigative Analyst ~177
Runs an iterative, multi-hop investigative research session via Gemini Deep Research Pro, cross-examining primary sources to produce a cited technical report. Use when investigating complex scientific, architectural, or market questions requiring deep multi-hop synthesis; for running a fast single-turn Google Search grounded fact lookup, use search_gemini_grounded_web instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('depth_tier' defaults to 'quick_synthesis'), supports '?demo=true' or L402 (1000 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| depth_tier | string | – | Research breadth and citation density; defaults to 'exhaustive_report' when omitted. |
| input | string | yes | Investigative research question, scope, and specific aspects to analyze. |
| Name | Type | Req | Description |
|---|---|---|---|
| agent | string | yes | Deep Research engine identifier ('deep-research-preview-04-2026'). |
| output | string | yes | Comprehensive multi-section investigative report with inline citations. |
| sources_count | integer | yes | Number of independent sources cross-referenced. |
| success | boolean | yes | True when the research synthesis completed. |
No examples provided.
decode_eip712_permit_signature EIP-712 Typed Data & Uniswap Permit2 Phishing Signature Decoder ~205
Decodes EIP-712 and Uniswap Permit2 off-chain typed-data payloads to verify spender identity, detect unlimited (uint256.max) token approvals, and flag expired deadlines. Use when inspecting an off-chain eth_signTypedData_v4 or Permit2 payload before signing; for decoding raw on-chain hex transaction calldata (0x...) for eth_sendTransaction, use simulate_evm_transaction_calldata instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'typed_data_json' ('chain_id' defaults to '1'), supports '?demo=true' or L402 (100 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| chain_id | string | – | EVM chain ID used to verify canonical router spender addresses; defaults to '8453' (Base) when omitted. |
| typed_data_json | string | yes | JSON string or object containing the EIP-712 / Permit2 message (spender, amount, deadline). |
| Name | Type | Req | Description |
|---|---|---|---|
| signing_verdict | string | yes | Safety recommendation ('SAFE_BOUNDED_PERMIT' or 'CRITICAL_UNLIMITED_APPROVAL_UNVERIFIED_SPENDER'). |
| spender_address | string | yes | Normalized lowercase EVM address of the permit spender. |
| spender_identity | string | yes | Identified protocol router label or 'Unknown Third-Party Spender'. |
| unlimited_approval_detected | boolean | yes | True if the approval value equals uint256.max / uint160.max. |
No examples provided.
detect_address_poisoning_scam Counterparty Address Poisoning & Vanity Prefix/Suffix Spoof Detector ~171
Compares a target recipient wallet address against recent transaction history to detect vanity prefix/suffix lookalike spoofing and zero-value dusting attacks. Use when verifying a recipient EVM or Solana wallet address before sending funds; for decoding hex smart contract calldata payloads, use simulate_evm_transaction_calldata instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'target_address' ('address_standard' defaults to 'auto_detect'), supports '?demo=true' or L402 (100 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| address_standard | string | – | Address encoding format; defaults to 'auto_detect' when omitted. |
| target_address | string | yes | Candidate recipient EVM (0x...) or Solana Base58 wallet address to verify. |
| Name | Type | Req | Description |
|---|---|---|---|
| poisoning_detected | boolean | yes | True if a prefix/suffix collision with a different middle body is found. |
| prefix_suffix_collision_score | number | yes | Similarity score (0.0 to 1.0) against known counterparty addresses. |
| target_address | string | yes | Audited recipient address. |
| verdict | string | yes | Transfer safety decision ('SAFE_VERIFIED' or 'DANGER_POISONING_ATTACK'). |
No examples provided.
detect_agent_action_loop Autonomous Agent Action-Trace Loop & Token-Burn Circuit Breaker ~185
Analyzes an agent's recent tool-call trace to detect identical retry spins, A/B state oscillation, and runaway token burn. Use when monitoring multi-step agent execution loops to decide whether to continue or halt and escalate; for inspecting a single command payload for security threats before execution, use verify_agent_command_safety instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'action_trace_json' ('sensitivity' defaults to 'strict_2_repeats'), supports '?demo=true' or L402 (70 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| action_trace_json | string | yes | JSON-serialized array of recent agent actions (e.g. '[{"tool":"search","status":"err"}]'). |
| sensitivity | string | – | Cycle detection threshold; defaults to 'standard_3_repeats' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| circuit_breaker_action | string | yes | Recommended control action ('CONTINUE_EXECUTION' or 'HALT_AND_ESCALATE_OR_SWITCH_TOOL'). |
| estimated_tokens_saved | integer | yes | Projected token burn prevented by tripping the circuit breaker. |
| loop_detected | boolean | yes | True if a repetitive retry spin or A/B oscillation cycle is active. |
| loop_pattern | string | yes | Detected cycle topology ('NONE', 'IDENTICAL_RETRY_SPIN', or 'ABAB_STATE_OSCILLATION'). |
No examples provided.
detect_mcp_schema_rugpull Mid-Session MCP tools/list Rug-Pull & Schema Mutation Detector ~209
Computes structural diffs between a pinned baseline MCP tools/list snapshot and a live server response to catch mid-session description or schema tampering. Use when verifying that a connected MCP server has not mutated its tool definitions mid-session; for performing a first-time static security audit on a single MCP manifest, use audit_mcp_server_manifest instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'baseline_tools_json' ('current_tools_json' defaults to 'standard'), supports '?demo=true' or L402 (85 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| baseline_tools_json | string | yes | JSON-serialized baseline tools/list array captured when the MCP server was first trusted. |
| current_tools_json | string | – | JSON-serialized live tools/list array to compare against the baseline; defaults to '[]' when omitted. |
| diff_mode | string | – | Comparison strictness across descriptions and inputSchema; defaults to 'full_structural' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| mutated_tools | array | yes | Detailed list of modified tools and their exact mutation type. |
| rugpull_detected | boolean | yes | True if any tool was surreptitiously added or had its description/schema altered. |
| timestamp_utc | string | yes | ISO-8601 UTC timestamp of the diff audit. |
| verdict | string | yes | Connection verdict ('SCHEMA_INTEGRITY_VERIFIED' or 'REVOKE_MCP_SERVER_IMMEDIATELY'). |
No examples provided.
detect_openapi_breaking_changes OpenAPI 3.1, JSON Schema & MCP Contract Breaking-Change Detector ~211
Compares baseline and candidate OpenAPI 3.1 specs, JSON Schemas, or MCP tool manifests to detect breaking changes (removed fields, new required inputs, narrowed enums, type mutations). Use when auditing API, JSON Schema, or MCP contract revisions for backward compatibility before deployment; for compiling new TypeScript, Zod, and Pydantic schemas from a single sample JSON payload, use compile_polyglot_type_schemas instead. Read-only edge call (32 KB, 60 RPM): accepts 'baseline_schema_json' (with enum defaults), uses '?demo=true' or L402 (75 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| baseline_schema_json | string | yes | JSON string of the baseline OpenAPI 3.1 spec, JSON Schema, or MCP tools array. |
| candidate_schema_json | string | yes | JSON string of the proposed candidate schema or contract revision to compare. |
| contract_format | string | – | Contract specification format; defaults to 'auto_detect' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| breaking_changes | array | yes | Detailed list of breaking removals, type changes, or new required parameters. |
| breaking_changes_detected | boolean | yes | True if any backward-incompatible contract change is found. |
| non_breaking_additions | array | yes | Backward-compatible optional fields or endpoints added. |
| recommended_semver_bump | string | yes | Recommended Semantic Version bump ('MAJOR_BREAKING', 'MINOR_ADDITIVE', or 'PATCH_COMPATIBLE'). |
No examples provided.
diff_agent_memory_checkpoint Agent State Graph Differ, Belief Conflict Resolver & SHA-256 Hasher ~199
Computes structural diffs between two agent state snapshots ('added_keys', 'mutated_keys', 'removed_keys'), flags boolean belief contradictions, generates an RFC 7396 JSON Merge Patch delta, and computes a canonical checkpoint hash. Use when checkpointing agent state or transmitting minimal RFC 7396 state deltas across multi-agent handoffs; for counting BPE tokens and auditing Lost-in-the-Middle prompt attention, use plan_context_token_budget instead. Read-only call (32 KB, 60 RPM): accepts 'previous_state_json' (with enum defaults), uses '?demo=true' or L402 (50 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| conflict_strategy | string | – | Resolution policy when keys conflict; defaults to 'prefer_current' when omitted. |
| current_state_json | string | yes | JSON string or object representing the updated agent state snapshot. |
| previous_state_json | string | yes | JSON string or object representing the prior agent state snapshot. |
| Name | Type | Req | Description |
|---|---|---|---|
| added_keys | array | yes | State keys newly introduced in current_state. |
| checkpoint_digest | string | yes | Deterministic cryptographic hash of the canonicalized merged state. |
| mutated_keys | array | yes | Modified keys with before/after values and belief_contradiction flag. |
| rfc7396_json_merge_patch_delta | object | yes | Minimal RFC 7396 JSON Merge Patch payload transforming previous into current. |
No examples provided.
enforce_json_schema_types Strict JSON Schema Validator, Type Coercer & Field Pruner ~191
Validates a raw LLM output object against a target JSON Schema, automatically coercing mismatched scalar types (e.g. string '42' to integer 42), injecting schema defaults, and pruning undeclared hallucinated fields. Use when enforcing schema compliance and type safety on structured LLM outputs before passing them to typed APIs; for healing unparseable raw JSON text with broken quotes or trailing commas, use heal_malformed_json instead. Read-only edge call (32 KB, 60 RPM): accepts 'raw_output' (with enum defaults), uses '?demo=true' or L402 (75 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| coercion_policy | string | – | Policy for handling extra undeclared properties; defaults to 'prune_undeclared_and_coerce' when omitted. |
| raw_output | string | yes | JSON string or object produced by an LLM to validate and coerce. |
| Name | Type | Req | Description |
|---|---|---|---|
| coercions_applied | array | yes | List of type conversions and default injections performed. |
| enforced_object | object | yes | Clean, schema-compliant JSON object. |
| unrecognized_fields_pruned | array | yes | Hallucinated property keys removed during enforcement. |
| valid | boolean | yes | True when the resulting enforced_object satisfies the schema. |
No examples provided.
estimate_bitcoin_mempool_fees Bitcoin Mainnet Mempool Feerate Estimator (sat/vB) ~162
Fetches real-time Bitcoin mainnet mempool feerate recommendations in satoshis per virtual byte (sat/vB) across fastest, half-hour, hour, and economy confirmation tiers. Use when checking current Bitcoin L1 network congestion before broadcasting an on-chain BTC transaction; for calculating exact SegWit/Taproot UTXO batch consolidation vByte weights and dust thresholds, use plan_bitcoin_utxo_consolidation instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'confirmation_target', supports '?demo=true' or L402 (50 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| confirmation_target | string | – | Target confirmation speed tier; defaults to 'half_hour' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| economyFee | integer | yes | Low-priority feerate in sat/vB for non-urgent batch sweeps. |
| fastestFee | integer | yes | Recommended feerate in sat/vB for next-block (~10 min) inclusion. |
| halfHourFee | integer | yes | Recommended feerate in sat/vB for ~30-minute confirmation. |
| hourFee | integer | yes | Recommended feerate in sat/vB for ~60-minute confirmation. |
No examples provided.
estimate_solana_priority_fees Solana Compute-Unit Priority Fee & Jito MEV Tip Estimator ~177
Calculates optimal Solana compute-unit (CU) microlamport priority fees and Jito bundle tip lamports to achieve target block-inclusion probability. Use when setting SetComputeUnitPrice and Jito tips before broadcasting a Solana transaction; for querying Bitcoin L1 sat/vB mempool fee rates, use estimate_bitcoin_mempool_fees instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'priority_level' ('tx_type' defaults to 'simple_transfer'), supports '?demo=true' or x402 (50 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| priority_level | string | yes | Target inclusion urgency tier on Solana mainnet-beta. |
| tx_type | string | – | Transaction category used to estimate compute unit limit; defaults to 'dex_swap' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| estimated_landing_probability | number | yes | Projected next-block inclusion probability (0.0 to 1.0). |
| recommended_compute_unit_limit | integer | yes | Suggested ComputeBudget compute unit ceiling. |
| recommended_jito_tip_lamports | integer | yes | Recommended Jito block-engine tip in lamports for MEV-protected landing. |
| recommended_micro_lamports_per_cu | integer | yes | Recommended priority fee in microlamports per compute unit. |
No examples provided.
evaluate_ab_statistical_significance Welch's t-Test, Two-Proportion z-Test & Bayesian A/B Eval Judge ~244
Computes Welch's two-sample t-test or two-proportion z-test, returning two-tailed p-values, Cohen's d effect size, relative lift %, and Bayesian P(Treatment > Control). Use when determining whether a prompt change, model benchmark, or A/B experiment produced a statistically significant improvement; for evaluating single algebraic formulas or NPV/IRR cashflows, use evaluate_deterministic_math instead. Read-only edge call (32 KB, 60 RPM): accepts 'control_json' ('treatment_json' defaults to 'standard'), supports '?demo=true' or L402 (60 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| control_json | string | yes | JSON string or object for the baseline control arm (e.g. '{"conversions":142,"total":1000}' or '{"samples":[12,15,14]}'). |
| significance_level | string | – | Type-I error alpha threshold for statistical significance; defaults to 'alpha_0_05' when omitted. |
| treatment_json | string | yes | JSON string or object for the candidate treatment arm (e.g. '{"conversions":186,"total":1000}'). |
| Name | Type | Req | Description |
|---|---|---|---|
| bayesian_prob_treatment_superior | number | yes | Posterior probability P(Treatment > Control) from 0.0 to 1.0. |
| p_value | number | yes | Two-tailed frequentist p-value. |
| relative_lift_pct | number | yes | Percentage lift of treatment over control. |
| test_type | string | yes | Statistical test applied ('welch_two_sample_t_test' or 'two_proportion_z_test_and_bayesian'). |
| verdict | string | yes | Experiment decision ('SIGNIFICANT_TREATMENT_WIN', 'SIGNIFICANT_CONTROL_WIN', or 'INCONCLUSIVE_UNDERPOWERED'). |
No examples provided.
evaluate_deterministic_math Shunting-Yard Algebraic Math, Financial IRR/NPV & Descriptive Stats Solver ~209
Strict Shunting-Yard AST arithmetic parser with zero eval() or dynamic code execution: evaluates algebraic formulas and computes exact financial NPV, Newton-Raphson IRR, Kelly criterion, and dataset stats. Use when computing exact arithmetic formulas, cashflow NPV/IRR, or descriptive statistics without LLM floating-point guesswork; for running two-sample A/B hypothesis tests, use evaluate_ab_statistical_significance instead. Read-only edge call (32 KB, 60 RPM): accepts 'math_formula' ('precision_digits' defaults to '2_decimals'), uses '?demo=true' or L402 (40 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| expression | string | – | Algebraic or scientific formula to evaluate (e.g. '(125000 * (1 + 0.0725/12)^60) - 98450.50'). |
| precision_digits | string | – | Decimal rounding precision for returned numbers; defaults to '8_decimals' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| dataset_statistics | object | yes | Optional count, mean, median, std_dev, min, and max when a dataset array is supplied. |
| exact_result | number | yes | Deterministic floating-point result of the expression. |
| expression | string | yes | Evaluated mathematical expression. |
| financial_analysis | object | yes | Optional NPV, Newton-Raphson IRR, and Kelly fraction when financial parameters are supplied. |
No examples provided.
evaluate_dex_mev_risk Pre-Swap DEX MEV Sandwich & Frontrunning Risk Evaluator ~193
Evaluates decentralized exchange (DEX) swap parameters against pool depth and mempool visibility to quantify MEV sandwich risk and compute optimal slippage tolerance in basis points. Use when configuring slippage tolerance and private-RPC routing before executing an on-chain DEX token swap; for comparing cross-chain bridge settlement routes across different L1 blockchains, use compare_crosschain_bridge_routes instead. Read-only edge call (32 KB, 60 RPM): accepts 'pair' ('execution_venue' defaults to 'uniswap_v3_public'), uses '?demo=true' or L402 (150 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| execution_venue | string | – | Target DEX protocol or RPC relay; defaults to 'uniswap_v3_public' when omitted. |
| pair | string | yes | Trading pair symbol or pool identifier (e.g. 'ETH/USDC' or 'SOL/USDC'). |
| Name | Type | Req | Description |
|---|---|---|---|
| frontrunning_detected | boolean | yes | True if public mempool broadcast exposes the swap to predatory bots. |
| optimal_slippage_bps | integer | yes | Recommended maximum slippage tolerance in basis points (1 bps = 0.01%). |
| recommended_rpc | string | yes | Suggested MEV-protected broadcast endpoint. |
| sandwich_risk | string | yes | Assessed MEV extraction risk tier ('LOW', 'MEDIUM', or 'HIGH'). |
No examples provided.
evaluate_solana_token_risk Solana SPL Token Mint/Freeze Authority & Rug-Pull Risk Evaluator ~191
Evaluates a Solana SPL token's rug-pull probability by checking active mint authority, freeze authority, mutable metadata, and top-holder concentration. Use when making a pre-trade security decision on whether a Solana SPL token is safe to buy; for retrieving SPL token symbol, decimals, and DEX liquidity pool metadata via x402, use inspect_solana_token_liquidity instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'token_address' ('risk_profile' defaults to 'strict_decentralized'), supports '?demo=true' or L402 (100 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| risk_profile | string | – | Tolerance policy for centralized freeze authorities; defaults to 'strict_decentralized' when omitted. |
| token_address | string | yes | Base58-encoded Solana SPL token mint address (32–44 characters). |
| Name | Type | Req | Description |
|---|---|---|---|
| freeze_authority_present | boolean | yes | True if an active authority can freeze holder token accounts. |
| risk_score | number | yes | Rug-pull risk score from 0.0 (renounced/safe) to 1.0 (critical danger). |
| should_transact | boolean | yes | True when the token passes authority and concentration safety checks. |
| valid_base58 | boolean | yes | True when the provided address is a valid Base58 Solana public key. |
No examples provided.
execute_antigravity_agent Google Antigravity Multi-Step Autonomous Coding & Workflow Agent ~171
Dispatches a complex engineering or operational task to Google's Antigravity autonomous agent for multi-step planning, tool orchestration, and verified execution. Use when solving multi-stage software engineering or workflow tasks that require autonomous planning; for compiling exhaustive multi-source literature and market research dossiers, use conduct_deep_research_investigation instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('execution_mode' defaults to 'autonomous_verified'), supports '?demo=true' or L402 (500 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| execution_mode | string | – | Autonomy policy for subtask execution; defaults to 'autonomous_verified' when omitted. |
| input | string | yes | High-level task objective and constraints for the Antigravity autonomous agent. |
| Name | Type | Req | Description |
|---|---|---|---|
| agent | string | yes | Autonomous agent identifier ('antigravity-preview-latest'). |
| environment | string | yes | Execution environment ('remote'). |
| output | string | yes | Synthesized final deliverable and action trace summary. |
| success | boolean | yes | True when the agent completed all planned steps. |
No examples provided.
execute_python_sandbox AST-Audited Ephemeral Python Code Execution Sandbox ~184
Audits Python source code for forbidden syscalls (os, subprocess, socket, open, eval) inside an AST-governed WebAssembly sandbox with no host filesystem access. Use when executing LLM-generated Python snippets safely; for checking shell commands without executing code, use verify_agent_command_safety instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'python_script' ('timeout_profile' defaults to 'fast_1s'), supports '?demo=true' or MPP (1500 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| python_script | string | yes | Python 3 source script to audit and execute strictly inside an isolated AST-governed, non-privileged WebAssembly sandbox with no host filesystem access. |
| timeout_profile | string | – | Execution resource ceiling; defaults to 'standard_5s' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| ast_security_audit | object | yes | Static syscall audit summary including flagged_calls and safety_verdict. |
| exit_code | integer | yes | Process exit status (0 on clean execution, 1 on security block). |
| simulated_stdout | string | yes | Captured standard output from the isolated execution. |
| syntax_valid | boolean | yes | True if the Python source parses without syntax errors. |
No examples provided.
extract_structured_json_entities Unstructured Text to Typed JSON Entity & Record Extractor ~174
Extracts structured JSON records, named entities, dates, and financial figures from unstructured prose, emails, or HTML/Markdown dumps. Use when converting unstructured natural-language text into a structured JSON array of entities; for validating and coercing an existing JSON payload against a formal JSON Schema, use enforce_json_schema_types instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('extraction_target' defaults to 'general_entities_and_metrics'), supports '?demo=true' or L402 (150 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| extraction_target | string | – | Primary entity domain to extract; defaults to 'general_entities_and_metrics' when omitted. |
| text | string | yes | Unstructured document, email body, or webpage text to extract structured entities from. |
| Name | Type | Req | Description |
|---|---|---|---|
| extracted_data | object | yes | Structured JSON object or array containing the extracted entities. |
| model | string | yes | Extraction model executed ('gemini-3.8-flash'). |
| records_count | integer | yes | Number of distinct entity records extracted. |
| success | boolean | yes | True when entity extraction succeeded. |
No examples provided.
generate_boundary_test_vectors JSON Schema & Function Signature Boundary-Value Test Vector Generator ~176
Synthesizes deterministic unit-test vectors from a JSON Schema or function signature covering valid equivalence partitions, numeric/length boundaries, and adversarial Unicode/null inputs. Use when generating exhaustive edge-case unit test payloads and fuzz vectors for an API endpoint or function; for healing and applying unified diffs or search/replace edits to source code, use apply_fuzzy_code_patch instead. Read-only edge call (32 KB, 60 RPM): accepts 'schema_or_signature_json' (with enum defaults), uses '?demo=true' or L402 (65 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| schema_or_signature_json | string | yes | JSON Schema object or function parameter specification to generate test vectors for. |
| vector_suite_profile | string | – | Test generation coverage profile; defaults to 'equivalence_boundary_and_fuzz' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| adversarial_fuzz_vectors | array | yes | Negative test vectors testing missing required fields, wrong types, and Unicode/injection strings. |
| boundary_edge_vectors | array | yes | Edge payloads testing zero, negative, MAX_SAFE_INTEGER, and empty/max length boundaries. |
| total_vectors_generated | integer | yes | Total number of deterministic test vectors produced. |
| valid_partition_vectors | array | yes | Valid happy-path payloads covering required and optional equivalence classes. |
No examples provided.
generate_gemini_completion Account-Less Google Gemini 4 Argon & 3.1 Pro Universal Text Generator ~191
Generates text completions and structured reasoning across all 45 Google Gemini foundation models (Gemini 4 Argon, 3.1 Pro, 3.8 Flash) with zero Google account or API key required. Use when running single-turn reasoning, coding, or analytical prompts on a specific Gemini model; for delegating multi-step autonomous tasks that require remote tool execution, use execute_antigravity_agent instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('model' defaults to 'gemini-4-argon'), supports '?demo=true' or L402 (250 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | – | Target Gemini foundation model identifier; defaults to 'gemini-4-argon' when omitted. |
| prompt | string | yes | Primary user instruction or reasoning prompt to send to the selected Gemini model. |
| Name | Type | Req | Description |
|---|---|---|---|
| grounding_metadata | object | yes | Optional citation metadata if search grounding was enabled. |
| model | string | yes | Gemini model identifier that executed the completion. |
| output | string | yes | Generated model response text. |
| success | boolean | yes | True when inference completed without upstream errors. |
No examples provided.
generate_gemini_embeddings Gemini Embedding 2 High-Dimensional (3,072-D) Vector Generator ~180
Generates normalized 3,072-dimensional or 768-dimensional semantic vector embeddings via Google Gemini Embedding 2 for RAG indexing and cosine-similarity search. Use when embedding text passages or queries via L402 Lightning with configurable Matryoshka dimensions; for running live Google Search grounded factual queries, use search_gemini_grounded_web instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('model' defaults to 'gemini-embedding-2'), supports '?demo=true' or L402 (50 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | – | Gemini embedding model version; defaults to 'gemini-embedding-2' when omitted. |
| text | string | yes | Input text passage, code snippet, or search query to embed into a float vector. |
| Name | Type | Req | Description |
|---|---|---|---|
| dimensions | integer | yes | Vector dimensionality returned (e.g. 3072 or 768). |
| embedding | array | yes | Normalized floating-point embedding vector. |
| model | string | yes | Embedding model executed. |
| success | boolean | yes | True when vector generation succeeded. |
No examples provided.
generate_nano_banana_image Nano Banana Pro (Gemini Image) Visual Asset & Diagram Generator ~176
Generates photorealistic illustrations, UI mockups, and technical diagrams from text prompts using the Nano Banana Pro (Gemini 2.5 Flash Image) model family. Use when creating static visual assets, icons, or architecture diagrams from text descriptions; for synthesizing animated multi-second video clips with motion, use generate_veo_cinematic_video instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('aspect_ratio' defaults to '1:1'), supports '?demo=true' or L402 (350 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| aspect_ratio | string | – | Output image aspect ratio; defaults to '16:9' when omitted. |
| prompt | string | yes | Detailed visual scene, composition, lighting, and typography description to render. |
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | yes | Image generation model executed ('gemini-2.5-flash-image'). |
| notice | string | yes | Execution confirmation notice. |
| output | string | yes | Generated image payload or asset descriptor. |
| success | boolean | yes | True when visual asset synthesis succeeded. |
No examples provided.
generate_veo_cinematic_video Google Veo 3 High-Definition Cinematic Video Generator ~169
Synthesizes high-definition cinematic video sequences with temporally coherent camera motion and physics using Google Veo 3. Use when generating moving video clips, product B-roll, or animated scene renders from text prompts; for rendering static single-frame images or diagrams at lower cost, use generate_nano_banana_image instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('motion_style' defaults to 'static_tripod'), supports '?demo=true' or L402 (1500 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| motion_style | string | – | Camera movement preset; defaults to 'smooth_tracking_shot' when omitted. |
| prompt | string | yes | Cinematic scene description including subject motion, camera trajectory, and lighting. |
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | yes | Video synthesis model executed ('veo-3-generate'). |
| notice | string | yes | Execution status summary. |
| output | string | yes | Generated video stream descriptor and frame metadata. |
| success | boolean | yes | True when Veo 3 synthesis completed. |
No examples provided.
generate_x402_vector_embeddings Solana x402 USDC-Settled Semantic Vector Embedding Generator ~164
Generates normalized high-dimensional semantic vector embeddings settled via Solana SPL USDC ('x402' protocol headers) for decentralized RAG pipelines. Use when computing text embeddings paid via Solana USDC x402 signatures rather than Bitcoin Lightning; for extracting discrete JSON entities from unstructured text, use extract_structured_json_entities instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('encoding_format' defaults to 'float_array'), supports '?demo=true' or x402 (100 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| encoding_format | string | – | Vector serialization format; defaults to 'float_array' when omitted. |
| text | string | yes | Input text string or document chunk to convert into a normalized embedding vector. |
| Name | Type | Req | Description |
|---|---|---|---|
| dimensions | integer | yes | Number of float dimensions in the returned vector. |
| embedding | array | yes | Normalized floating-point vector array. |
| model | string | yes | Embedding model executed ('gemini-embedding-2'). |
| normalized | boolean | yes | Always true; vectors are L2-normalized to unit length. |
No examples provided.
heal_malformed_json Deterministic Malformed JSON Syntax & Truncation Healer ~170
Deterministic JSON syntax repair: normalizes quotes, unclosed brackets, and boolean literals into compliant RFC 8259 JSON structure without data deletion. Use when fixing syntax-broken JSON strings that fail JSON.parse(); for coercing field types and verifying properties on already-parseable JSON objects against a target JSON Schema, use enforce_json_schema_types instead. Read-only edge call (32 KB, 60 RPM): accepts 'malformed_json' (with enum defaults), uses '?demo=true' or L402 (50 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| malformed_json | string | yes | Raw broken, truncated, or markdown-wrapped JSON string to repair. |
| repair_mode | string | – | Bracket-closing and literal-normalization strategy; defaults to 'heuristic_fast' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| fixes_applied | array | yes | List of lexical repairs performed. |
| parsed_object | object | yes | Deserialized JSON object produced from the repaired string. |
| repaired_json | string | yes | Valid RFC 8259 JSON string after syntax healing. |
| status | string | yes | Repair outcome ('repaired' or 'valid_as_is'). |
No examples provided.
infer_mpp_streaming_session Base EVM Machine Payments Protocol (MPP) Streaming Session Planner ~195
Initializes a Base USDC Machine Payments Protocol (MPP) metered inference session, allocating a streaming token quota and returning a step-by-step execution plan. Use when running session-metered agent planning settled via Base EVM MPP 'Payment-Challenge' headers; for mapping a task goal to L402 MCP tool calls without opening an MPP streaming session, use route_mcp_workflow_plan instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'task' ('token_quota_tier' defaults to 'compact_1024'), supports '?demo=true' or MPP (500 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| task | string | yes | Agent workflow task to execute within the metered MPP session. |
| token_quota_tier | string | – | Allocated streaming token ceiling for the session; defaults to 'standard_4096' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| plan | array | yes | Ordered execution steps generated for the task. |
| session_id | string | yes | Unique MPP streaming session identifier. |
| session_status | string | yes | Session lifecycle state ('ACTIVE_STREAMING'). |
| streaming_tokens_allocated | integer | yes | Token budget reserved for the session. |
No examples provided.
inspect_solana_token_liquidity Solana SPL Token Metadata, Decimals & Authority Registry Lookup ~204
Retrieves canonical Solana SPL token metadata including name, ticker symbol, decimal precision, and current mint/freeze authority addresses. Use when resolving SPL token decimals, ticker symbols, and registry metadata for portfolio or swap formatting; for computing a composite security risk score and binary should_transact verdict, use evaluate_solana_token_risk instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'mint' ('network' defaults to 'mainnet-beta'), supports '?demo=true' or x402 (200 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| mint | string | yes | Base58-encoded Solana SPL token mint address (e.g. 'EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v'). |
| network | string | – | Solana cluster to query; defaults to 'mainnet-beta' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| authorities_renounced | boolean | yes | True when both mint_authority and freeze_authority are null. |
| decimals | integer | yes | Token decimal precision used for raw lamport/atomic unit conversion. |
| mint | string | yes | Queried Base58 SPL token mint address. |
| symbol | string | yes | Canonical token ticker symbol (e.g. 'USDC', 'SOL', 'JUP'). |
No examples provided.
isolate_stacktrace_root_cause Stack-Trace Root-Cause Frame Isolator & Drain Log Deduplicator ~184
Parses noisy CI/terminal logs and multi-language stack traces (Node/TS, Python, Rust, Go), strips node_modules/stdlib frames to isolate the innermost failing user-code frame, and clusters repetitive logs into Drain templates. Use when triage-debugging test failures, crash dumps, or repetitive server error logs; for compressing general source code files or prose transcripts, use prune_context_skeleton instead. Read-only edge call (32 KB, 60 RPM): accepts 'raw_log' ('runtime_hint' defaults to 'auto_detect'), supports '?demo=true' or L402 (50 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| raw_log | string | yes | Raw terminal output, CI failure log, or exception traceback to analyze. |
| runtime_hint | string | – | Runtime stack format hint; defaults to 'auto_detect' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| deduplicated_log_templates | array | yes | Drain-clustered log patterns with occurrence counts. |
| error_headline | string | yes | Extracted primary exception class and error message. |
| root_cause_fingerprint | string | yes | Deterministic hash of the error class and root user frame. |
| root_cause_frame | object | yes | Innermost user-code stack frame (function_name, file, line, column). |
| stripped_library_frames_count | integer | yes | Number of node_modules, stdlib, or internal frames filtered out. |
No examples provided.
operate_computer_use_agent Gemini Computer Use GUI & Browser Action Planner ~173
Plans and executes OS-level desktop, browser DOM, and GUI coordinate actions (click, type, scroll, wait) using the Gemini Computer Use agent. Use when automating interactive web UIs or desktop workflows that lack a direct REST API; for running code-first API and terminal automation tasks, use execute_antigravity_agent instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('viewport_preset' defaults to 'desktop_1080p'), supports '?demo=true' or L402 (800 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| input | string | yes | UI automation goal and target webpage or application context. |
| viewport_preset | string | – | Target screen resolution for coordinate grounding; defaults to 'desktop_1080p' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| agent | string | yes | Computer Use model identifier ('computer-use-preview-2026'). |
| output | string | yes | Executed UI action sequence and extracted screen state. |
| steps_executed | integer | yes | Number of GUI interaction steps performed. |
| success | boolean | yes | True when the UI workflow reached the target state. |
No examples provided.
plan_bitcoin_utxo_consolidation Bitcoin SegWit/Taproot UTXO Dust Consolidation & Fee-Window Planner ~234
Analyzes a set of Bitcoin UTXO balances in satoshis to compute exact vByte transaction weight, identify uneconomical dust inputs, and recommend whether to consolidate now or hold. Use when optimizing on-chain Bitcoin treasury UTXO sets to minimize long-term miner fee drag; for fetching current live Bitcoin mempool sat/vB feerates alone, use estimate_bitcoin_mempool_fees instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'utxos_sats_json' ('script_type' defaults to 'p2wpkh_segwit'), supports '?demo=true' or L402 (80 sats), and returns HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| script_type | string | – | Bitcoin input script type determining vByte weight per input; defaults to 'p2wpkh_segwit' when omitted. |
| utxos_sats_json | string | yes | JSON array or comma-separated list of UTXO values in satoshis (e.g. '[1200, 45000, 85000]'). |
| Name | Type | Req | Description |
|---|---|---|---|
| estimated_consolidation_vbytes | integer | yes | Total virtual byte (vB) size of the consolidation transaction. |
| high_fee_dust_utxos | integer | yes | Count of UTXOs whose input weight costs more than 3% of their value. |
| recommended_action | string | yes | Execution timing advice ('CONSOLIDATE_NOW' or 'HOLD_UNTIL_SUB_15_SAT_VB'). |
| utxo_count | integer | yes | Number of UTXO inputs analyzed. |
No examples provided.
plan_context_token_budget BPE Token Budget, Attention Trough & Multi-Model Cost Planner ~229
Counts subword BPE tokens across prompt segments, detects high-priority instructions trapped in the 35%–72% Lost-in-the-Middle attention trough, and calculates USD/satoshi costs across frontier LLMs. Use when auditing prompt token budgets, reordering prompt sections for primacy/recency attention, or comparing model API costs; for actively compressing and stripping low-salience lines from a single large file, use prune_context_skeleton instead. Read-only edge call (32 KB, 60 RPM): accepts 'segments_json' (with enum defaults), uses '?demo=true' or L402 (30 sats); HTTP 400 if invalid.
| Name | Type | Req | Description |
|---|---|---|---|
| max_context_tokens | number | – | Target model context window limit in tokens; defaults to 128000 when omitted. |
| segments_json | string | yes | JSON string or array of prompt segments '[{"name":"sys","text":"...","priority":10}]' to analyze. |
| target_model_family | string | – | Primary model family for token-Window calibration; defaults to 'gemini_3_1' when omitted. |
| Name | Type | Req | Description |
|---|---|---|---|
| lost_in_the_middle_warnings | array | yes | Warnings for high-priority segments positioned in the 35%–72% attention trough. |
| multi_model_cost_comparison | array | yes | Estimated USD and satoshi inference cost across 5 frontier models. |
| optimal_primacy_recency_order | array | yes | Recommended segment ordering placing critical instructions at prompt boundaries. |
| total_input_tokens_est | integer | yes | Total BPE tokens summed across all prompt segments. |
| within_budget | boolean | yes | True when total_input_tokens_est fits inside available_input_budget. |
No examples provided.
How do I install the Diogenes Autonomous Microservice Gateway MCP server?
Diogenes Autonomous Microservice Gateway is a hosted endpoint at https://diogenes-micro-gateway.corinth.workers.dev/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · diogenes-micro-gateway.corinth.workers.dev
claude mcp add --transport http stand-out-of-my-sun-diogenes-gateway 'https://diogenes-micro-gateway.corinth.workers.dev/mcp'
What is the Diogenes Autonomous Microservice Gateway MCP server?
Diogenes Autonomous Microservice Gateway is an MCP server listed in the public MCP registry as io.github.stand-out-of-my-sun/diogenes-gateway. Autonomous AI microservices: 55 dynamic guardrails, contract audits & oracles via L402/x402/MPP. This page covers its hosted endpoint (https://diogenes-micro-gateway.corinth.workers.dev/mcp).
Is the Diogenes Autonomous Microservice Gateway MCP server safe to use?
Diogenes Autonomous Microservice Gateway scores 61 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Diogenes Autonomous Microservice Gateway MCP server expose?
Diogenes Autonomous Microservice Gateway exposes 71 tools: verify_agent_command_safety, validate_sql_query_ast, execute_python_sandbox, audit_mcp_server_manifest, detect_mcp_schema_rugpull, and 66 more. Their descriptions and schemas cost roughly 13,455 tokens of context every time the server is loaded.
Does the Diogenes Autonomous Microservice Gateway MCP server require authentication?
No. We connected to Diogenes Autonomous Microservice Gateway without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Diogenes Autonomous Microservice Gateway MCP server still maintained?
Diogenes Autonomous Microservice Gateway is still listed as active in the MCP registry. We last reached this channel on 23 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.