US Brand Intelligence is a remote MCP server that gives an AI agent 21 tools, among them pricing_info, us-brand-action-queue, us-brand-evidence-chronology-builder. It answers at https://api.timzinin.com/mcp/us-brand-intelligence over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 10 September 2026; the last check, on 19 October 2026, succeeded.
Pay-per-call US brand evidence and signal workflows with free MCP discovery and x402 payments.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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 yet. |
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 operators and agents. The Actor does not send messages or write to destinations. — $0.05 |
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, reports future-dated IDs, and emits stable counts and digests. — $0.05/call, x402 ( Inputs: schemaVersion, asOf, rows |
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 formats the supplied facts and does not browse, fetch, verify, rank, or enrich them. Inputs: schemaVersion, rows |
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. Inline-only, deterministic, and designed for agents that already own both snapshots. |
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. Built for company and government-intelligence agents; no buyer URL, API key, browse Inputs: recipientId, startDate, endDate, maxResults, requestId |
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 Dataset; the Actor validates source proof and terms without browsing or inferring own Inputs: schemaVersion, requestId, rows, datasetId, openrouterApiKey, options |
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-256 digests without browsing, enrichment, inference, or child calls. — $0.05/call Inputs: schemaVersion, groupingMode, rows |
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 resolution, source verification, browsing, or live enrichment. — $0.05/call, x402 (US Inputs: schemaVersion, rows |
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, fetch, verify, or enrich evidence. — $0.05/call, x402 (USDC on base). Inputs: schemaVersion, snapshotAt, title, rows |
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 stable reason codes, counts, and digests; no source or identity claims are made. Inputs: schemaVersion, thresholds, rows |
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, Jaccard overlap, and digests without fetching or making causality claims. — $0.05 Inputs: schemaVersion, groups |
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 credentials, network calls, proxy, LLM, identity resolution, or arbitrary expre Inputs: schemaVersion, target, mapping, rows |
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 bounded request and does not verify sources or infer causality. — $0.05/call, x402 Inputs: schemaVersion, rows |
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, counts, and digests without choosing a winner or making a truth claim. — $0.05/call Inputs: schemaVersion, left, right |
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, and digest metrics. Stateless, keyless, offline, and bounded for agent pipelines. Inputs: schemaVersion, rows |
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 differences and sensitivity summaries; it does not choose or recommend a policy. — $0.05/c Inputs: schemaVersion, rows, policies |
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 digests. It never sends messages, calls destinations, fetches URLs, or infers identi Inputs: schemaVersion, mode, signals, rules |
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 you provide and makes no identity or causality claim. — $0.05/call, x402 (USDC Inputs: schemaVersion, sequences |
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; it never fetches a clock or resolves an item to a person or company. — $0.05/call Inputs: schemaVersion, asOf, rows |
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 never sends a webhook or accepts a destination. — $0.05/call, x402 (USDC on base) Inputs: schemaVersion, signal, target, presentation |
Every block below points at https://api.timzinin.com/mcp/us-brand-intelligence. Pick your client and copy.
claude mcp add --transport http us-brand-intelligence https://api.timzinin.com/mcp/us-brand-intelligence
{
"mcpServers": {
"us-brand-intelligence": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.timzinin.com/mcp/us-brand-intelligence"]
}
}
}{
"mcpServers": {
"us-brand-intelligence": {
"url": "https://api.timzinin.com/mcp/us-brand-intelligence"
}
}
}{
"servers": {
"us-brand-intelligence": {
"type": "http",
"url": "https://api.timzinin.com/mcp/us-brand-intelligence"
}
}
}{
"context_servers": {
"us-brand-intelligence": {
"url": "https://api.timzinin.com/mcp/us-brand-intelligence"
}
}
}{
"mcpServers": {
"us-brand-intelligence": {
"serverUrl": "https://api.timzinin.com/mcp/us-brand-intelligence"
}
}
}{
"mcpServers": {
"us-brand-intelligence": {
"url": "https://api.timzinin.com/mcp/us-brand-intelligence"
}
}
}name: US Brand Intelligence
version: 0.0.1
schema: v1
mcpServers:
- name: US Brand Intelligence
type: streamable-http
url: https://api.timzinin.com/mcp/us-brand-intelligence{
"mcpServers": {
"us-brand-intelligence": {
"httpUrl": "https://api.timzinin.com/mcp/us-brand-intelligence"
}
}
}{
"mcpServers": {
"us-brand-intelligence": {
"type": "http",
"url": "https://api.timzinin.com/mcp/us-brand-intelligence"
}
}
}{
"mcpServers": {
"us-brand-intelligence": {
"url": "https://api.timzinin.com/mcp/us-brand-intelligence"
}
}
}goose://extension?url=https%3A%2F%2Fapi.timzinin.com%2Fmcp%2Fus-brand-intelligence&type=streamable_http&id=us-brand-intelligence&name=US%20Brand%20Intelligence
It answered our last check on 19 October 2026 in 41 ms. Over 6 checks since 10 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by timzinin.com and served from api.timzinin.com, the vendor's own domain: https://api.timzinin.com/mcp/us-brand-intelligence.
21, as returned by the server's own tools/list on 11 September 2026: pricing_info, us-brand-action-queue, us-brand-evidence-chronology-builder, us-brand-evidence-citation-table, us-brand-evidence-snapshot-diff, us-brand-federal-award-snapshot, us-brand-offer-evidence-normalizer, us-brand-signal-batch-splitter, and 13 more.
It answered our last check on 19 October 2026 in 41 ms. Over 6 checks since 10 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://api.timzinin.com/mcp/us-brand-intelligence. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: com.timzinin.api. Endpoint host: api.timzinin.com. ARD identifier: urn:air:com.timzinin.api:mcp:us-brand-intelligence.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.