US Brand Intelligence

com.timzinin.api由 api.timzinin.com 發布官方發布者v1.0.0更新於 Oct 24, 2026

Pay-per-call US brand evidence and signal workflows with free MCP discovery and x402 payments.

發布方自己的服務:Apify Market Intelligence

已驗證Streamable HTTP可網頁執行資料與分析商業與電商

概覽

AI 產生的概覽

以付費工具處理使用者提供的美國品牌證據與訊號,產出可重現的彙總、比對與路由結果。

可以做什麼
提供二十餘個確定性的美國品牌證據與訊號處理工具,包括證據時序建立、引用表、快照差異比對、聯邦合約交易快照,以及訊號分群、彙總、交叉統計、合併報告、信心門檻分類與規則路由。多數工具只處理使用者提供的資料,不瀏覽、不抓取、不驗證來源。另有 CRM 欄位對應、Webhook 內容與行動佇列等輸出工具,但皆不實際送出。
適用情境
當你已自行蒐集美國品牌相關證據或訊號,需要可重現的分群、彙總、比對、路由或 SLA 判定時適用;也適合需要聯邦合約快照的政府與企業情報流程。不適合用來搜尋、抓取或驗證外部資料。
執行需求
需連線至遠端端點,無需環境變數或標頭驗證。付費工具每次呼叫 0.05 美元,透過 x402 以 USDC 於 base 網路付款,需自備錢包;可先呼叫 pricing_info 取得價格與付款資訊。
安裝前請注意
每次呼叫付費工具都會實際花費 USDC,請先確認價格與網路。付款涉及錢包與付款地址,需自行保管。工具雖宣稱不送出訊息或寫入外部系統,但輸出內容仍可能含你提供的證據與網址,傳送前請自行檢查。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 US Brand Intelligence,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/com.timzinin.api%2Fus-brand-intelligence/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "us-brand-intelligence": {
      "type": "http",
      "url": "https://api.timzinin.com/mcp/us-brand-intelligence"
    }
  }
}

工具

21

pricing_info

Pricing — US Brand Intelligence

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.

無需輸入參數。

us-brand-action-queue

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/call, x402 (USDC on base).

輸入參數itemsoptionsscoredAt必填datasetIdrequestIdschemaVersion必填openrouterApiKey

us-brand-evidence-chronology-builder

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 (USDC on base).

輸入參數asOf必填rows必填schemaVersion必填

us-brand-evidence-citation-table

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. — $0.05/call, x402 (USDC on base).

輸入參數rows必填schemaVersion必填

us-brand-evidence-snapshot-diff

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. — $0.05/call, x402 (USDC on base).

輸入參數primary必填counterpartprimarySide必填schemaVersion必填

us-brand-federal-award-snapshot

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, browser, or LLM. — $0.05/call, x402 (USDC on base).

輸入參數endDate必填requestIdstartDate必填maxResultsrecipientId必填

us-brand-offer-evidence-normalizer

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 ownership. — $0.05/call, x402 (USDC on base).

輸入參數rowsoptionsdatasetIdrequestId必填schemaVersion必填openrouterApiKey

us-brand-signal-batch-splitter

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, x402 (USDC on base).

輸入參數rows必填groupingMode必填schemaVersion必填

us-brand-signal-brand-summary

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 (USDC on base).

輸入參數rows必填schemaVersion必填

us-brand-signal-brief-composer

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).

輸入參數rows必填title必填snapshotAt必填schemaVersion必填

us-brand-signal-confidence-gate

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. — $0.05/call, x402 (USDC on base).

輸入參數rows必填thresholds必填schemaVersion必填

us-brand-signal-cooccurrence-analyzer

US Brand Signal Co-occurrence 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/call, x402 (USDC on base).

輸入參數groups必填schemaVersion必填

us-brand-signal-crm-field-mapper

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 expressions. — $0.05/call, x402 (USDC on base).

輸入參數rows必填target必填mapping必填schemaVersion必填

us-brand-signal-cross-tabulator

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 (USDC on base).

輸入參數rows必填schemaVersion必填

us-brand-signal-merge-report

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, x402 (USDC on base).

輸入參數left必填right必填schemaVersion必填

us-brand-signal-metrics-aggregator

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. — $0.05/call, x402 (USDC on base).

輸入參數rows必填schemaVersion必填

us-brand-signal-policy-simulator

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/call, x402 (USDC on base).

輸入參數rows必填policies必填schemaVersion必填

us-brand-signal-rule-router

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 identity. — $0.05/call, x402 (USDC on base).

輸入參數mode必填rules必填signals必填schemaVersion必填

us-brand-signal-sequence-transition-analyzer

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 on base).

輸入參數sequences必填schemaVersion必填

us-brand-signal-sla-checker

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, x402 (USDC on base).

輸入參數asOf必填rows必填schemaVersion必填

us-brand-signal-webhook-payload-builder

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).

輸入參數signal必填target必填presentation必填schemaVersion必填

版本歷史

1
  1. v1.0.0最新Sep 16, 2026

評分

已滿足適用檢查項的 72%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分

    請在註冊中心條目中發布圖示。

  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款不適用

    託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。

其他 Timzinin 整合