US Brand Intelligence
REMOTE · API.TIMZININ.COM · SCANNED OCT 1
Pay-per-call US brand evidence and signal workflows with free MCP discovery and x402 payments.
Available components
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 Security74
- 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 is enforced; there's no plaintext access path. View diagnostics → Pass
- 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 Usability69
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 3255 tokens (~155/item across 21 items; 21 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 Management100
- No destabilizing schema changes in the last 30 days.Pass
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
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "us-brand-signal-merge-report" implies "merge" and declares readOnlyHint instead, contradicting what its own name says it does. See how to fix → Fail
- An AI judge read all 22 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the US Brand Intelligence MCP server?
US Brand Intelligence is a hosted endpoint at https://api.timzinin.com/mcp/us-brand-intelligence, 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 · api.timzinin.com
claude mcp add --transport http com-timzinin-api-us-brand-intelligence 'https://api.timzinin.com/mcp/us-brand-intelligence'
{
"mcpServers": {
"com-timzinin-api-us-brand-intelligence": {
"url": "https://api.timzinin.com/mcp/us-brand-intelligence"
}
}
} {
"servers": {
"com-timzinin-api-us-brand-intelligence": {
"type": "http",
"url": "https://api.timzinin.com/mcp/us-brand-intelligence"
}
}
} [mcp_servers.com-timzinin-api-us-brand-intelligence] url = "https://api.timzinin.com/mcp/us-brand-intelligence"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"com-timzinin-api-us-brand-intelligence": {
"type": "remote",
"url": "https://api.timzinin.com/mcp/us-brand-intelligence",
"enabled": true
}
}
} openclaw mcp add com-timzinin-api-us-brand-intelligence --url 'https://api.timzinin.com/mcp/us-brand-intelligence' --transport streamable-http
mcp_servers:
com-timzinin-api-us-brand-intelligence:
url: "https://api.timzinin.com/mcp/us-brand-intelligence" {
"McpServers": {
"com-timzinin-api-us-brand-intelligence": {
"Transport": "http",
"Url": "https://api.timzinin.com/mcp/us-brand-intelligence"
}
}
} assistant mcp add com-timzinin-api-us-brand-intelligence -t streamable-http -u 'https://api.timzinin.com/mcp/us-brand-intelligence'
{
"mcpServers": {
"com-timzinin-api-us-brand-intelligence": {
"type": "http",
"url": "https://api.timzinin.com/mcp/us-brand-intelligence"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
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.
- 28 Sept 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
- 25 Sept 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
- 5 Sept 26 +1
- Stability: 0.97 → pass security
- 3 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 26 Aug 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
- 16 Aug 26 0
- Authorization: unverified → partial ▲ security
- The server rewrote its instructions, which are the text every model session reads security
- Tool “pricing_info” changed its title: Pricing — US Brand Intelligence cosmetic
- Tool “us-brand-action-queue” changed its title: US Brand Action Queue cosmetic
- Tool “us-brand-evidence-chronology-builder” changed its title: US Brand Evidence Chronology Builder cosmetic
- Tool “us-brand-evidence-citation-table” changed its title: US Brand Evidence Citation Table cosmetic
- Tool “us-brand-evidence-snapshot-diff” changed its title: US Brand Evidence Snapshot Diff cosmetic
- Tool “us-brand-federal-award-snapshot” changed its title: US Brand Federal Award Snapshot cosmetic
- Tool “us-brand-offer-evidence-normalizer” changed its title: US Brand Offer Evidence Normalizer cosmetic
- Tool “us-brand-signal-batch-splitter” changed its title: US Brand Signal Batch Splitter cosmetic
- Tool “us-brand-signal-brand-summary” changed its title: US Brand Signal Brand Summary cosmetic
- Tool “us-brand-signal-brief-composer” changed its title: US Brand Signal Brief Composer cosmetic
- Tool “us-brand-signal-confidence-gate” changed its title: US Brand Signal Confidence Gate cosmetic
- Tool “us-brand-signal-cooccurrence-analyzer” changed its title: US Brand Signal Co-occurrence Analyzer cosmetic
- Tool “us-brand-signal-crm-field-mapper” changed its title: US Brand Signal CRM Field Mapper cosmetic
- Tool “us-brand-signal-cross-tabulator” changed its title: US Brand Signal Cross-Tabulator cosmetic
- Tool “us-brand-signal-merge-report” changed its title: US Brand Signal Merge Report cosmetic
- Tool “us-brand-signal-metrics-aggregator” changed its title: US Brand Signal Metrics Aggregator cosmetic
- Tool “us-brand-signal-policy-simulator” changed its title: US Brand Signal Policy Simulator cosmetic
- Tool “us-brand-signal-rule-router” changed its title: US Brand Signal Rule Router cosmetic
- Tool “us-brand-signal-sequence-transition-analyzer” changed its title: US Brand Signal Sequence Transition Analyzer cosmetic
- Tool “us-brand-signal-sla-checker” changed its title: US Brand Signal SLA Checker cosmetic
- Tool “us-brand-signal-webhook-payload-builder” changed its title: US Brand Signal Webhook Payload Builder cosmetic
- 11 Aug 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
- 10 Aug 26 0
- Tool “us-brand-action-queue” rewrote its description, which is the text the model reads security
- Tool “us-brand-evidence-chronology-builder” rewrote its description, which is the text the model reads security
- Tool “us-brand-evidence-citation-table” rewrote its description, which is the text the model reads security
- Tool “us-brand-evidence-snapshot-diff” rewrote its description, which is the text the model reads security
- Tool “us-brand-federal-award-snapshot” rewrote its description, which is the text the model reads security
- Tool “us-brand-offer-evidence-normalizer” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-batch-splitter” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-brand-summary” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-brief-composer” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-confidence-gate” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-cooccurrence-analyzer” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-crm-field-mapper” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-cross-tabulator” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-merge-report” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-metrics-aggregator” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-policy-simulator” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-rule-router” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-sequence-transition-analyzer” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-sla-checker” rewrote its description, which is the text the model reads security
- Tool “us-brand-signal-webhook-payload-builder” rewrote its description, which is the text the model reads security
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 1 Oct 2026 · Probed https://api.timzinin.com/mcp/us-brand-intelligence
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=api.timzinin.com | CN=YE2,O=Let's Encrypt,C=US | 25 Sept 2026 | 24 Dec 2026 | ECDSA 256 | ECDSA-SHA384 | 6a81be6512ce92fb1cd3c146aae5613dac3 |
| SANs: api.timzinin.com | ||||||
| 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 api.timzinin.com. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| timzinin.com. | 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://api.timzinin.com/mcp/us-brand-intelligence | Verified | 200 | |
| http (plaintext) | http://api.timzinin.com/mcp/us-brand-intelligence | HTTPS enforced | 301 | https://api.timzinin.com/mcp/us-brand-intelligence |
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 →
pricing_info Pricing — US Brand Intelligence ~45
Free — list every paid tool in the 'us-brand-intelligence' bundle with its price, payTo address and network. Call this first if you don't have a wallet ready yet.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
us-brand-action-queue US Brand Action Queue ~239
Turn verified US brand signals into one deterministic prioritized action queue with evidence, urgency, ownership status, and rule traces for downstream operators and agents. The Actor does not send messages or write to destinations. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| datasetId | string | – | Choose this or items, never both; the runtime enforces XOR because the Apify schema dialect cannot express cross-property relations. |
| items | array | – | Choose this or datasetId, never both; the runtime enforces XOR because the Apify schema dialect cannot express cross-property relations. |
| openrouterApiKey | string | – | Optional caller-supplied value for one bounded explanation only; runtime enforces the BYOK conditional because the Apify schema dialect cannot express it. |
| options | object | – | Deterministic caps and optional explanation mode. |
| requestId | string | – | Bounded correlation value only; it does not deduplicate separate Actor runs. |
| schemaVersion | string | yes | Closed contract version. |
| scoredAt | string | yes | Explicit UTC timestamp bound into request identity and used by all time-based scoring rules. |
No output schema declared.
No examples provided.
us-brand-evidence-chronology-builder US Brand Evidence Chronology Builder ~127
Build a deterministic chronology from 1 to 30 closed US brand evidence rows and an explicit UTC as-of time. It sorts supplied facts, marks same-time groups, reports future-dated IDs, and emits stable counts and digests. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| asOf | string | yes | Explicit UTC timestamp; the runtime never reads the current clock. |
| rows | array | yes | One to 30 closed rows. Input order is not semantic. |
| schemaVersion | string | yes | Required closed contract version. |
No output schema declared.
No examples provided.
us-brand-evidence-citation-table US Brand Evidence Citation Table ~128
Turn a small buyer-owned evidence packet into a stable citation table with bounded Markdown citations, host and source counts, limitations, and digests. It formats the supplied facts and does not browse, fetch, verify, rank, or enrich them. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| rows | array | yes | One to 100 rows with unique opaque evidence IDs. All text is bounded; timestamps are strict UTC; source URLs must be HTTPS without credentials or fragments. |
| schemaVersion | string | yes | The only supported closed contract version. |
No output schema declared.
No examples provided.
us-brand-evidence-snapshot-diff US Brand Evidence Snapshot Diff ~175
Compare two small buyer-supplied US brand evidence snapshots and return a stable machine-readable report of added, removed, changed, and unchanged records. Inline-only, deterministic, and designed for agents that already own both snapshots. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| counterpart | array | – | Optional one to 50 rows for the opposite side; omit it for an empty counterpart snapshot. Runtime rejects repeated dedupeKey values. |
| primary | array | yes | One to 50 rows for the side selected by primarySide. Identical rows are rejected structurally; runtime also rejects the same dedupeKey across non-identical rows. |
| primarySide | string | yes | Whether primary rows are the before or after snapshot. |
| schemaVersion | string | yes | schemaVersion |
No output schema declared.
No examples provided.
us-brand-federal-award-snapshot US Brand Federal Award Snapshot ~189
Given one exact USAspending recipient ID and a bounded UTC date window, return a deterministic snapshot of federal contract transactions for that recipient. Built for company and government-intelligence agents; no buyer URL, API key, browser, or LLM. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| endDate | string | yes | Inclusive YYYY-MM-DD end date, no later than the UTC run date. |
| maxResults | integer | – | Maximum number of exact-attributed transactions in the one snapshot row. |
| recipientId | string | yes | USAspending lowercase child recipient ID ending in -C. |
| requestId | string | – | Optional bounded correlation label; it is not replay state. |
| startDate | string | yes | Inclusive YYYY-MM-DD start date; runtime validation enforces the calendar and 2007-10-01 lower bound. |
No output schema declared.
No examples provided.
us-brand-offer-evidence-normalizer US Brand Offer Evidence Normalizer ~224
Turn supplied US brand offer, coupon, ad, and landing-page evidence into closed deterministic JSON. Submit bounded inline rows or one authorized read-only Dataset; the Actor validates source proof and terms without browsing or inferring ownership. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| datasetId | string | – | One resource selected with READ permission. Dataset V1 accepts at most 10 rows and probes 11 in one SDK call. Leave empty when using inline rows. |
| openrouterApiKey | string | – | Optional caller-owned key for BYOK labels. The runtime must redact and never persist it. |
| options | object | – | Labels are off unless an explicit model and caller key are supplied in BYOK mode. |
| requestId | string | yes | Correlation ID for this run. Reusing it in another run does not deduplicate purchases. |
| rows | array | – | One to 100 closed evidence-row objects. Leave empty when selecting a Dataset. |
| schemaVersion | string | yes | Required V1 contract version. |
No output schema declared.
No examples provided.
us-brand-signal-batch-splitter US Brand Signal Batch Splitter ~139
Split a bounded batch of normalized US brand signal rows by brand, event type, severity, or analysis status. Receive stable groups, exact IDs, counts, and SHA-256 digests without browsing, enrichment, inference, or child calls. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| groupingMode | string | yes | Choose the submitted row field used as the group key. |
| rows | array | yes | One to 100 rows. Rows are submitted facts; this Actor does not verify, enrich, or infer them. |
| schemaVersion | string | yes | Required closed V1 contract. |
No output schema declared.
No examples provided.
us-brand-signal-brand-summary US Brand Signal Brand Summary ~108
Summarize 1 to 60 buyer-supplied normalized US brand signals for up to 15 explicit brands. Receive deterministic counts and grouped facts without identity resolution, source verification, browsing, or live enrichment. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| rows | array | yes | One to 60 unique signal rows. brandName is explicit and input order is ignored. |
| schemaVersion | string | yes | Required closed V1 contract. |
No output schema declared.
No examples provided.
us-brand-signal-brief-composer US Brand Signal Brief Composer ~154
Turn a buyer-supplied snapshot of US brand signals into one bounded deterministic machine-readable brief. It reduces the facts you provide and does not discover, fetch, verify, or enrich evidence. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| rows | array | yes | Exactly 1-50 closed rows. Input order is ignored; rows are sorted deterministically. |
| schemaVersion | string | yes | Required closed V1 contract. |
| snapshotAt | string | yes | Explicit UTC timestamp with a real Gregorian calendar date. It is also emitted as generatedAt; the Actor never reads the current clock. |
| title | string | yes | Printable ASCII title bound into the brief digest. |
No output schema declared.
No examples provided.
us-brand-signal-confidence-gate US Brand Signal Confidence Gate ~157
Classify buyer-supplied normalized US brand signal scores against explicit accept and review thresholds. Receive sorted accepted, review, and rejected IDs with stable reason codes, counts, and digests; no source or identity claims are made. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| rows | array | yes | One to 100 unique signal IDs with integer normalized scores from 1 to 100. IDs are sorted by the runtime before classification. |
| schemaVersion | string | yes | The only supported closed contract version. |
| thresholds | object | yes | Accept is inclusive at acceptThreshold; review is inclusive from reviewThreshold up to, but excluding, acceptThreshold. The required ordering marker prevents ambiguity. |
No output schema declared.
No examples provided.
us-brand-signal-cooccurrence-analyzer US Brand Signal Co-occurrence Analyzer ~115
Measure how often buyer-supplied opaque signal IDs appear together in bounded observation groups. Return stable signal counts, unordered pair counts, support, Jaccard overlap, and digests without fetching or making causality claims. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| groups | array | yes | One to 100 named groups. Each group may contain up to 30 unique opaque signal IDs. |
| schemaVersion | string | yes | The only supported closed contract version. |
No output schema declared.
No examples provided.
us-brand-signal-crm-field-mapper US Brand Signal CRM Field Mapper ~166
Turn 1 to 100 buyer-supplied US brand signal rows into unsent HubSpot, Salesforce, or generic CRM field proposals while preserving evidence IDs and URLs. No CRM credentials, network calls, proxy, LLM, identity resolution, or arbitrary expressions. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| mapping | array | yes | Each source field may appear once and must map to the exact target field allowed for the selected CRM. |
| rows | array | yes | One to one hundred rows with explicit opaque entity IDs and source evidence. |
| schemaVersion | string | yes | The only supported closed contract version. |
| target | string | yes | Select the closed target field vocabulary; this Actor does not call the target CRM. |
No output schema declared.
No examples provided.
us-brand-signal-cross-tabulator US Brand Signal Cross-Tabulator ~119
Build a deterministic two-dimensional count table from buyer-supplied opaque rows, such as event type by status or brand by review state. It only counts the bounded request and does not verify sources or infer causality. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| rows | array | yes | One to 100 unique opaque rows. There can be at most 15 unique rowDimension values and 15 unique columnDimension values. |
| schemaVersion | string | yes | The only supported closed contract version. |
No output schema declared.
No examples provided.
us-brand-signal-merge-report US Brand Signal Merge Report ~124
Reconcile two buyer-supplied batches of normalized US brand signals. Receive a deterministic union, exact duplicate IDs, field conflicts, one-sided ID sets, counts, and digests without choosing a winner or making a truth claim. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| left | array | yes | One to 50 rows from the first sensor or workflow. |
| right | array | yes | One to 50 rows from the second sensor or workflow. |
| schemaVersion | string | yes | Closed V1 contract version. |
No output schema declared.
No examples provided.
us-brand-signal-metrics-aggregator US Brand Signal Metrics Aggregator ~113
Compute deterministic machine-friendly metrics for US brand signal rows you already collected, including event, severity, status, source, confidence, warning, and digest metrics. Stateless, keyless, offline, and bounded for agent pipelines. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| rows | array | yes | One to 100 closed rows. signalId is unique and all text is printable ASCII only. |
| schemaVersion | string | yes | Required closed V1 contract. |
No output schema declared.
No examples provided.
us-brand-signal-policy-simulator US Brand Signal Policy Simulator ~126
Compare buyer-defined threshold policies over the same opaque US brand signal scores. Return accepted, review, and rejected IDs for every policy plus differences and sensitivity summaries; it does not choose or recommend a policy. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| policies | array | yes | One to 20 unique policies. Review must be strictly below accept. |
| rows | array | yes | One to 100 unique opaque IDs with integer scores from 1 to 100. |
| schemaVersion | string | yes | The only supported closed contract version. |
No output schema declared.
No examples provided.
us-brand-signal-rule-router US Brand Signal Rule Router ~204
Turn normalized US brand signals and ordered rules into a deterministic routing plan with matched routes, unmatched IDs, counts, warnings, and reproducible digests. It never sends messages, calls destinations, fetches URLs, or infers identity. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| mode | string | yes | firstMatch uses the first matching rule; allMatches retains every matching rule in input order. |
| rules | array | yes | Closed explicit predicates. Runtime additionally enforces unique rule/route IDs, NFC and UTF-8 byte bounds, and confidenceMin <= confidenceMax because the Store schema dialect cannot compare sibling… |
| schemaVersion | string | yes | Closed input and output contract version. |
| signals | array | yes | Closed rows. Runtime additionally enforces unique IDs, NFC, 256 UTF-8-byte text bounds, a 256 KiB envelope, strict calendar timestamps, and finite 9-decimal confidence values. |
No output schema declared.
No examples provided.
us-brand-signal-sequence-transition-analyzer US Brand Signal Sequence Transition Analyzer ~107
Measure ordered adjacent transitions in buyer-supplied opaque sequences for workflow, funnel, and journey analysis. The bounded processor analyzes only the JSON you provide and makes no identity or causality claim. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| schemaVersion | string | yes | The only supported closed contract version. |
| sequences | array | yes | One to 100 sequences; each contains 2 to 30 ordered opaque step IDs. |
No output schema declared.
No examples provided.
us-brand-signal-sla-checker US Brand Signal SLA Checker ~150
Classify buyer-supplied schedule rows against an explicit UTC timestamp: which items met their due time, missed it, or remain open. Deterministic and offline; it never fetches a clock or resolves an item to a person or company. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| asOf | string | yes | Strict Gregorian UTC timestamp in YYYY-MM-DDTHH:mm:ssZ form. This value controls all open-row classification. |
| rows | array | yes | One to 100 rows with opaque item IDs and explicit opened, due, and optional resolved timestamps. |
| schemaVersion | string | yes | The only supported closed contract version. |
No output schema declared.
No examples provided.
us-brand-signal-webhook-payload-builder US Brand Signal Webhook Payload Builder ~164
Build one bounded deterministic unsent payload shaped for Slack, Teams, or a generic webhook from one normalized signal and buyer-supplied evidence. The Actor never sends a webhook or accepts a destination. — $0.05/call, x402 (USDC on base).
| Name | Type | Req | Description |
|---|---|---|---|
| presentation | object | yes | Only these booleans, style enum, and bounded character limit are accepted. Templates and expressions are not supported. |
| schemaVersion | string | yes | The only supported closed contract version. |
| signal | object | yes | Buyer-provided text and one to three HTTPS evidence records. No identity or live-source lookup is performed. |
| target | string | yes | A closed enum only. This selects a local JSON shape; it never supplies a destination. |
No output schema declared.
No examples provided.
What is the US Brand Intelligence MCP server?
US Brand Intelligence is an MCP server listed in the public MCP registry as com.timzinin.api/us-brand-intelligence. Pay-per-call US brand evidence and signal workflows with free MCP discovery and x402 payments. This page covers its hosted endpoint (https://api.timzinin.com/mcp/us-brand-intelligence).
Is the US Brand Intelligence MCP server safe to use?
US Brand Intelligence scores 83 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 US Brand Intelligence MCP server expose?
US Brand Intelligence exposes 21 tools: pricing_info, us-brand-action-queue, us-brand-evidence-chronology-builder, us-brand-evidence-citation-table, us-brand-evidence-snapshot-diff, and 16 more. Their descriptions and schemas cost roughly 3,073 tokens of context every time the server is loaded.
Does the US Brand Intelligence MCP server require authentication?
No. We connected to US Brand Intelligence without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the US Brand Intelligence MCP server still maintained?
US Brand Intelligence is still listed as active in the MCP registry. We last reached this channel on 1 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.