# USASpending Contract Tracker - Free Government Contract API (`ntriqpro/usaspending-contract-tracker`) Actor Free API to track government contracts and spending by recipient. No subscription. Search federal procurement data from USASpending.gov for contract value, dates, and awards. Government data, pay-per-use. - **URL**: https://apify.com/ntriqpro/usaspending-contract-tracker.md - **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community) - **Categories:** AI, Business - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $100.00 / 1,000 charged when a company trust analysis is successfus This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Company Trust & Legitimacy Scorer Instantly verify whether a company is real, active, and trustworthy — without manual research. Cross-validates corporate registry data from three independent sources and returns a single trust score (0–100) with letter grade, so you can make faster, safer B2B decisions. ### What does Company Trust Scorer do? - Looks up UK companies via Companies House API (registration status, officers, incorporation date) - Searches US public company filings via SEC EDGAR (10-K, 10-Q, enforcement history) - Validates global companies via OpenCorporates (80+ countries, jurisdiction spread, name change history) - Detects shell company patterns: zero officers, multiple name changes, very recent incorporation - Returns a unified trust score (0–100) and letter grade (A+ to F) with itemized flags and positives ### Key Features - **Multi-Source Cross-Validation**: Combines Companies House UK, SEC EDGAR US, and OpenCorporates (80+ countries) for comprehensive registry analysis - **Scoring System**: Produces a 0–100 trust score with letter grades (A+ to F) and a plain-English verdict - **Shell Company Detection**: Flags zero-officer companies, excessive name changes, multi-jurisdiction structures, and SEC enforcement history - **Actionable Verdicts**: Clear recommendations — from "Verified and Trustworthy" to "High Risk — Transaction Not Recommended" - **Batch Processing**: Analyze multiple companies in a single run - **Pay Per Event**: Only $0.05 per analysis — no subscription needed ### Input | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `companyName` | string | Yes | Company name to look up (e.g. "Apple Inc") | | `country` | string | No | Focus region: `auto` (default), `uk`, `us`, or `global` | ### Output Example ```json { "trustScore": 87, "grade": "A", "verdict": "Generally Reliable — Minor Review Recommended", "flags": ["1 company name change on record"], "positives": [ "Established 12yr company", "Active company registration confirmed", "SEC filings present (24 total, 10-K + 10-Q)", "4 officers on record" ], "sources": [ "Companies House UK (Acme Ltd)", "SEC EDGAR US (18 filings)", "OpenCorporates (gb)" ], "detail": { "companiesHouse": { "source": "companies_house_uk", "status": "active", "incorporatedOn": "2012-03-15", "officersCount": 4 }, "secEdgar": { "source": "sec_edgar_us", "filingCount": 18, "hasAnnualReport": true, "hasQuarterlyReport": true, "hasEnforcement": false }, "openCorporates": { "source": "opencorporates_global", "jurisdiction": "gb", "registrationCount": 2, "previousNamesCount": 1 } }, "timestamp": "2024-01-15T10:30:00Z" } ```` ### Use Cases - **KYB Compliance**: Verify business identities before onboarding new vendors or partners - **B2B Sales Qualification**: Filter out shell companies and inactive entities from your prospect list - **M\&A Due Diligence**: Quickly screen acquisition targets for registration anomalies and enforcement history - **Lead Enrichment**: Append trust scores to CRM records at scale for risk-tiered outreach ### Data Sources | Source | Coverage | Rate Limit | |--------|----------|------------| | Companies House UK | UK-registered companies | Free with API key | | SEC EDGAR | US public company filings | Free, no key required | | OpenCorporates | 80+ countries, 200M+ companies | Free tier available | ### Scoring Breakdown | Dimension | Max Points | What It Measures | |-----------|-----------|-----------------| | Company Longevity | 20 | Age since incorporation | | Active Registration | 25 | Current active status across registries | | SEC Transparency | 20 | Annual and quarterly filing presence | | Officer Structure | 20 | Number of directors (shell company detection) | | Name Stability | 15 | Number of company name changes | ### Pricing This actor uses Pay Per Event pricing at **$0.05 per analysis**. You only pay for successful analyses. ### API Keys (Optional) Some data sources work better with API keys. Set these as environment variables: - `COMPANIES_HOUSE_API_KEY`: Access UK Companies House registry — [Get free key here](https://developer.company-information.service.gov.uk/) - `OPENCORPORATES_API_KEY`: Higher rate limits for global lookups — [Get free key here](https://opencorporates.com/api_accounts/new) Without keys, the actor still works using SEC EDGAR (always free) and the OpenCorporates free tier. # Actor input Schema ## `companyName` (type: `string`): Name of the company to evaluate (e.g., 'Apple Inc', 'Tesco PLC') ## `country` (type: `string`): Primary country for lookup. 'auto' tries all available registries. ## Actor input object example ```json { "companyName": "Apple Inc", "country": "auto" } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("ntriqpro/usaspending-contract-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("ntriqpro/usaspending-contract-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call ntriqpro/usaspending-contract-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ntriqpro/usaspending-contract-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USASpending Contract Tracker - Free Government Contract API", "description": "Free API to track government contracts and spending by recipient. No subscription. Search federal procurement data from USASpending.gov for contract value, dates, and awards. Government data, pay-per-use.", "version": "1.0", "x-build-id": "m3tblGbvekRfufSXd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ntriqpro~usaspending-contract-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ntriqpro-usaspending-contract-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ntriqpro~usaspending-contract-tracker/runs": { "post": { "operationId": "runs-sync-ntriqpro-usaspending-contract-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ntriqpro~usaspending-contract-tracker/run-sync": { "post": { "operationId": "run-sync-ntriqpro-usaspending-contract-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "companyName" ], "properties": { "companyName": { "title": "Company Name", "type": "string", "description": "Name of the company to evaluate (e.g., 'Apple Inc', 'Tesco PLC')", "default": "Apple Inc" }, "country": { "title": "Country Focus", "enum": [ "auto", "uk", "us", "global" ], "type": "string", "description": "Primary country for lookup. 'auto' tries all available registries.", "default": "auto" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```