# Startup Funding Signal Report - SEC Form D and Traction API (`changeable_peddler/startup-funding-signal-report`) Actor Research startup funding and traction signals from SEC Form D, Hacker News, GitHub, RDAP, and public company directories. - **URL**: https://apify.com/changeable\_peddler/startup-funding-signal-report.md - **Developed by:** [Sean](https://apify.com/changeable_peddler) (community) - **Categories:** Business, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $1,250.00 / 1,000 company signal reports 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 ## Startup Funding Signal Report - SEC Form D and Traction API Research startup funding and traction signals from SEC Form D, Hacker News, GitHub, RDAP, and public company directories. Use this Actor as an Apify API for startup funding research, Form D discovery, GitHub traction checks, Hacker News mention signals, and domain-age enrichment. Inspired by Printing Press company-goat: SEC Form D, HN, GitHub, RDAP, and startup legitimacy signals. ### Use cases - Score startup domains from a CRM, conference list, accelerator list, or lead queue. - Find SEC Form D funding evidence and related-person signals when available. - Add GitHub organization activity, Hacker News mentions, and RDAP domain age to startup research rows. - Build repeatable startup due-diligence and B2B lead qualification workflows. ### Search-friendly workflows - Startup funding signal API for lead scoring. - Form D and traction report for investor research. - Startup legitimacy and public-signal enrichment for procurement. - Company traction dataset for sales and market mapping. ### Related suite This Actor is part of the Security Risk Intelligence Suite: - [OSS Supply Chain Risk Report](https://apify.com/changeable_peddler/oss-supply-chain-risk-report) for package, lockfile, SBOM, and Docker image risk. - [SEC Red Flag Monitor](https://apify.com/changeable_peddler/sec-red-flag-monitor) for public-company filing risk. - [Startup Funding Signal Report](https://apify.com/changeable_peddler/startup-funding-signal-report) for startup funding and traction signals. Use the three together to build repeatable due-diligence, procurement, and security-review workflows from public data. Public examples and tutorials: https://github.com/shamusj-create/security-risk-intelligence-apify Suite positioning: see `../docs/suites/SECURITY_RISK_INTELLIGENCE_SUITE.md`. ### Pricing Recommended pay-per-event pricing: - Event: `company-signal-report` - Price: `$1.25` - Unit: one bounded company signal report The Actor charges before making public-data requests so Apify spending limits can stop work cleanly. ### Example Input ```json { "companies": [ "stripe.com", "vercel.com" ], "secContactEmail": "research@example.com", "includeGithub": true, "includeHackerNews": true, "maxSecFilings": 5, "concurrency": 1 } ```` ### Output Each dataset row includes a status, score, confidence, summary, recommendations, highlights, disambiguation details, metrics, source payloads, and timestamp. This Actor uses public/read-only data sources. SEC-backed requests require `secContactEmail` and include it in the SEC fair-access User-Agent. The included `research@example.com` smoke-test default is only for local examples; use a real contact email for production runs. # Actor input Schema ## `companies` (type: `array`): Company names or domains to research. Domains produce stronger GitHub/RDAP signals. ## `secContactEmail` (type: `string`): Contact email included in SEC fair-access User-Agent. Required by SEC for automated access. ## `includeGithub` (type: `boolean`): Fetch public GitHub organization and repository signals when a plausible org can be inferred. ## `includeHackerNews` (type: `boolean`): Fetch public Hacker News mention signals through the Algolia API. ## `maxSecFilings` (type: `integer`): Maximum Form D filing XML documents to inspect per company. ## `concurrency` (type: `integer`): Number of companies to analyze in parallel. ## Actor input object example ```json { "companies": [ "stripe.com", "vercel.com" ], "secContactEmail": "research@example.com", "includeGithub": true, "includeHackerNews": true, "maxSecFilings": 5, "concurrency": 1 } ``` # Actor output Schema ## `results` (type: `string`): Structured report rows. ## `runSummary` (type: `string`): Counts for processed inputs, API errors, skipped budget-limited items, and charged events. # 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("changeable_peddler/startup-funding-signal-report").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("changeable_peddler/startup-funding-signal-report").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 changeable_peddler/startup-funding-signal-report --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=changeable_peddler/startup-funding-signal-report", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Startup Funding Signal Report - SEC Form D and Traction API", "description": "Research startup funding and traction signals from SEC Form D, Hacker News, GitHub, RDAP, and public company directories.", "version": "0.0", "x-build-id": "kTgshtSDhpNSFCdqy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/changeable_peddler~startup-funding-signal-report/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-changeable_peddler-startup-funding-signal-report", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/changeable_peddler~startup-funding-signal-report/runs": { "post": { "operationId": "runs-sync-changeable_peddler-startup-funding-signal-report", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/changeable_peddler~startup-funding-signal-report/run-sync": { "post": { "operationId": "run-sync-changeable_peddler-startup-funding-signal-report", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "secContactEmail" ], "properties": { "companies": { "title": "Companies or domains", "minItems": 1, "maxItems": 10, "type": "array", "description": "Company names or domains to research. Domains produce stronger GitHub/RDAP signals.", "items": { "type": "string" }, "default": [ "stripe.com", "vercel.com" ] }, "secContactEmail": { "title": "SEC contact email", "type": "string", "description": "Contact email included in SEC fair-access User-Agent. Required by SEC for automated access.", "default": "research@example.com" }, "includeGithub": { "title": "Include GitHub", "type": "boolean", "description": "Fetch public GitHub organization and repository signals when a plausible org can be inferred.", "default": true }, "includeHackerNews": { "title": "Include Hacker News", "type": "boolean", "description": "Fetch public Hacker News mention signals through the Algolia API.", "default": true }, "maxSecFilings": { "title": "Max SEC filings", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum Form D filing XML documents to inspect per company.", "default": 5 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 2, "type": "integer", "description": "Number of companies to analyze in parallel.", "default": 1 } } }, "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 } } } } } } } } } } ```