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io.github.anthonywlicausi/agentic-ai

REMOTE · AGENTIC-AI-PRODUCTION-E711.UP.RAILWAY.APP · SCANNED AUG 3

Deal intelligence for agents: SEC-verified financials, validation, institutional deal scoring.

+6 this week 58 Trust /100
Trust breakdown (6 categories)

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 →

Endpoint Security57
Transport & Reachability100
Schema Quality & AI Usability49
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 412 tokens (~103/item across 4 items; 4 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage67
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · agentic-ai-production-e711.up.railway.app

# add to Claude Code
claude mcp add --transport http anthonywlicausi-agentic-ai https://agentic-ai-production-e711.up.railway.app/mcp
# ~/.codex/config.toml
[mcp_servers.anthonywlicausi-agentic-ai]
url = "https://agentic-ai-production-e711.up.railway.app/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "anthonywlicausi-agentic-ai": {
      "type": "remote",
      "url": "https://agentic-ai-production-e711.up.railway.app/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add anthonywlicausi-agentic-ai --url https://agentic-ai-production-e711.up.railway.app/mcp --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  anthonywlicausi-agentic-ai:
    url: "https://agentic-ai-production-e711.up.railway.app/mcp"
// mcp.json
{
  "mcpServers": {
    "anthonywlicausi-agentic-ai": {
      "type": "http",
      "url": "https://agentic-ai-production-e711.up.railway.app/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

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.

  • 2 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Jul 26 +3
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 29 Jul 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

  • 28 Jul 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.

  • 27 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Jul 26 52

    First indexed and scored.

Diagnostics

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 3 Aug 2026 · Probed https://agentic-ai-production-e711.up.railway.app/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=*.up.railway.app CN=YE1,O=Let's Encrypt,C=US 29 Jul 2026 27 Oct 2026 ECDSA 256 ECDSA-SHA384 6da79bb561da3efeb0e751ca21abd3999fe
SANs: *.up.railway.app, up.railway.app
CN=YE1,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 5ddd70dd31f801c85c186a7a04b80afe
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
DNSSEC insecure

Validation of agentic-ai-production-e711.up.railway.app. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
app. present 23684 8 Verified
railway.app. 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
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://agentic-ai-production-e711.up.railway.app/mcp Verified 200
http (plaintext) http://agentic-ai-production-e711.up.railway.app/mcp HTTPS enforced 301 https://agentic-ai-production-e711.up.railway.app/mcp
MCP tools — 4 exposed · ~412 tokens

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.

Tool Tokens
company_report ~188

The flagship: eight-lens institutional analysis of a US-listed company, grounded entirely in SEC-verified figures with per-field filing citations. Lenses: equity research, investment banking, strategy consulting, turnaround ops, comparables, capital markets, disclosure audit, and Charlie Munger's 10 mental models — plus an executive synthesis. Optionally pass `market` (e.g. {"price": 12.34, "market_cap_m": 5000}) from your own data source to enable valuation views, and `context` — your own deal materials (CIM extracts, computed valuations), treated as caller-asserted rather than SEC-verified. $25.00/call after free trial; allow ~60s.

NameTypeReqDescription
contextstring
marketobject
tickerstringyes

No output schema declared.

No examples provided.

deal_score ~75

Full underwriting chain on a deal profile: financial integrity → trend → industry position → stress tests → conviction score, plus a risk register and investment thesis (and an rNPV valuation band for biotech deals with `indications`). $2.00/call after free trial.

NameTypeReqDescription
dealobjectyes

No output schema declared.

No examples provided.

sec_extract ~77

Verified financial statements and derived metrics for a US-listed ticker, extracted from SEC EDGAR XBRL filings. Every value carries provenance (the exact filing, form, and tag it came from); missing facts are null, never 0. $0.25/call after free trial.

NameTypeReqDescription
tickerstringyes

No output schema declared.

No examples provided.

validate_financials ~72

Institutional validation pass over company financials: tax-rate sanity, EBITDA/EBIT bridge, growth continuity vs historical CAGR, capex ratio, working-capital stability. Returns integrity score + severity-ranked flags. $0.50/call after free trial.

NameTypeReqDescription
financialsobjectyes

No output schema declared.

No examples provided.