# com.timzinin.api/us-brand-intelligence Pay-per-call US brand evidence and signal workflows with free MCP discovery and x402 payments. - **Type:** MCP server - **Trust:** 60/100 (B), scored on the content rubric - **Verification:** community-indexed — nobody has claimed this listing - **Version:** 1.0.0 - **Author:** com.timzinin.api - **License:** Unknown - **Endpoints:** streamable-http https://api.timzinin.com/mcp/us-brand-intelligence - **Source:** https://api.timzinin.com/mcp/us-brand-intelligence - **Endpoint health:** reachable (last checked 2026-10-02T20:41:38.018Z, 6 samples) — uptime is not a security property and is not part of the trust score - **Compatible clients:** claude-code, cursor, copilot, chatgpt, gemini (basis: transport) ## Trust 60/100 (B), scored on the content rubric - Publisher verified: no - Install scripts: nothing suspicious found - Prompt-injection scan: clean - Obfuscation scan: clean - Evidence age: 14 days ## Security scan - **Status:** clean - **Scanned:** 2026-09-21T05:30:09.902Z - **Version scanned:** live - **CVEs:** no coverage — this entry has no package coordinates to query OSV against, so "no known CVEs" is NOT asserted for it. ## Tools 21 declared. Observed from a live `tools/list` probe. - `pricing_info` — 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 ye - `us-brand-action-queue` — Turn verified US brand signals into one deterministic prioritized action queue with evidence, urgency, ownership status, and rule traces for downstream operator - `us-brand-evidence-chronology-builder` — 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, rep - `us-brand-evidence-citation-table` — Turn a small buyer-owned evidence packet into a stable citation table with bounded Markdown citations, host and source counts, limitations, and digests. It form - `us-brand-evidence-snapshot-diff` — Compare two small buyer-supplied US brand evidence snapshots and return a stable machine-readable report of added, removed, changed, and unchanged records. Inli - `us-brand-federal-award-snapshot` — Given one exact USAspending recipient ID and a bounded UTC date window, return a deterministic snapshot of federal contract transactions for that recipient. Bui - `us-brand-offer-evidence-normalizer` — Turn supplied US brand offer, coupon, ad, and landing-page evidence into closed deterministic JSON. Submit bounded inline rows or one authorized read-only Datas - `us-brand-signal-batch-splitter` — 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-2 - `us-brand-signal-brand-summary` — Summarize 1 to 60 buyer-supplied normalized US brand signals for up to 15 explicit brands. Receive deterministic counts and grouped facts without identity resol - `us-brand-signal-brief-composer` — 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 - `us-brand-signal-confidence-gate` — Classify buyer-supplied normalized US brand signal scores against explicit accept and review thresholds. Receive sorted accepted, review, and rejected IDs with - `us-brand-signal-cooccurrence-analyzer` — Measure how often buyer-supplied opaque signal IDs appear together in bounded observation groups. Return stable signal counts, unordered pair counts, support, J - `us-brand-signal-crm-field-mapper` — 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 - `us-brand-signal-cross-tabulator` — 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 bou - `us-brand-signal-merge-report` — Reconcile two buyer-supplied batches of normalized US brand signals. Receive a deterministic union, exact duplicate IDs, field conflicts, one-sided ID sets, cou - `us-brand-signal-metrics-aggregator` — Compute deterministic machine-friendly metrics for US brand signal rows you already collected, including event, severity, status, source, confidence, warning, a - `us-brand-signal-policy-simulator` — Compare buyer-defined threshold policies over the same opaque US brand signal scores. Return accepted, review, and rejected IDs for every policy plus difference - `us-brand-signal-rule-router` — Turn normalized US brand signals and ordered rules into a deterministic routing plan with matched routes, unmatched IDs, counts, warnings, and reproducible dige - `us-brand-signal-sequence-transition-analyzer` — Measure ordered adjacent transitions in buyer-supplied opaque sequences for workflow, funnel, and journey analysis. The bounded processor analyzes only the JSON - `us-brand-signal-sla-checker` — Classify buyer-supplied schedule rows against an explicit UTC timestamp: which items met their due time, missed it, or remain open. Deterministic and offline; i - `us-brand-signal-webhook-payload-builder` — Build one bounded deterministic unsent payload shaped for Slack, Teams, or a generic webhook from one normalized signal and buyer-supplied evidence. The Actor n ## Install **Verdict: review** — Installable, but 2 things to check first: No CVE coverage: this entry has no npm/PyPI coordinates to query OSV against, so "no known vulnerabilities" is not a claim that can be made about it. **Cautions** (coverage gaps and advisories — never blocking) - No CVE coverage: this entry has no npm/PyPI coordinates to query OSV against, so "no known vulnerabilities" is not a claim that can be made about it. - No publisher has proved control of this listing; it is indexed, not vouched for. **Config** (claude-code): ```json "{\n \"mcpServers\": {\n \"us-brand-intelligence\": {\n \"type\": \"http\",\n \"url\": \"https://api.timzinin.com/mcp/us-brand-intelligence\"\n }\n }\n}" ``` ## Blast radius Contained to moderate — no credential declaration found, from the publisher, the upstream registry, or the README. Known so far: runs on someone else's infrastructure; read-only tool surface. - Floor 9, ceiling 27 (tier: unknown) - `unknown` means the floor and ceiling land in different bands — not measured enough to name one. It does not mean low. - This is impact, not likelihood. A high radius is not a defect: a filesystem server is supposed to write files. It is never part of the trust score. ## Machine-readable views of this entry - Signed JSON: https://forgeregistry.com/api/v1/packages/com.timzinin.api%2Fus-brand-intelligence - Install plan: https://forgeregistry.com/api/v1/packages/com.timzinin.api%2Fus-brand-intelligence/install-plan - Alternatives: https://forgeregistry.com/api/v1/alternatives/com.timzinin.api%2Fus-brand-intelligence - HTML page: https://forgeregistry.com/registry/com.timzinin.api%2Fus-brand-intelligence - MCP: POST https://forgeregistry.com/api/mcp → `forge_get_package` / `forge_install_plan` ## About this document Generated by Forge (https://forgeregistry.com) — a compact rendering of the same record served, signed, at the JSON URL above. Trust and scan facts are the registry's own measurements; anything Forge did not measure is named as unmeasured rather than omitted.