# SEC EDGAR Filing Analyzer - Free Corporate Disclosure API (`ntriqpro/sec-edgar-filing-analyzer`) Actor Free API for SEC EDGAR database search (10-K, 10-Q, 8-K filings). No subscription needed. Access corporate financial disclosures, management reports, and regulatory filings. Government data, pay-per-use. - **URL**: https://apify.com/ntriqpro/sec-edgar-filing-analyzer.md - **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community) - **Categories:** AI, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $150.00 / 1,000 charged when a startup funding intelligence scan is 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 Intelligence - SEC Form D & SBA Replaces Crunchbase Pro using free SEC EDGAR Form D filings and SBA APIs. 5 modes: funding search, company funding history, investor activity, industry trends, and SBA loans. $0.05/query vs $348-$588/yr. ### Features - Search SEC EDGAR Form D filings to discover startups raising capital in any sector - Retrieve full funding history for a company across all Form D rounds - Track investor and VC firm activity by analyzing their portfolio company filings - Identify industry-level funding trends with deal count and volume over time - Analyze SBA loan activity by state, industry, and company for small business intelligence ### Input Parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `mode` | string | Analysis mode: `funding_search`, `company_funding`, `investor_activity`, `industry_trends`, `sba_loans` | `funding_search` | | `companyName` | string | Company name to search or analyze | — | | `investorName` | string | Investor or VC firm name to track (e.g., 'Sequoia', 'Andreessen Horowitz') | — | | `industry` | string | Industry sector for trend analysis (e.g., 'technology', 'healthcare', 'fintech') | — | | `state` | string | US state abbreviation for geographic filtering | — | | `minAmount` | integer | Minimum offering amount in dollars (e.g., 1000000 for $1M+) | — | | `maxAmount` | integer | Maximum offering amount in dollars | — | | `dateFrom` | string | Start date for filing search in YYYY-MM-DD format | — | | `dateTo` | string | End date for filing search in YYYY-MM-DD format | — | | `limit` | integer | Maximum number of results to return (1-50) | `20` | ### Output The actor returns structured JSON data with Form D filing details, funding amounts, investor lists, industry trends, and SBA loan records. ### Pricing This actor uses pay-per-event pricing at $0.05 per successful analysis. ### Usage 1. Set your input parameters 2. Run the actor 3. Get results from the dataset ### API Integration ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_TOKEN' }); const run = await client.actor('ntriqpro/startup-funding-intelligence').call({ mode: 'investor_activity', investorName: 'Sequoia Capital', dateFrom: '2023-01-01', }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); ```` # Actor input Schema ## `mode` (type: `string`): Select the type of startup funding analysis to perform ## `companyName` (type: `string`): Company name to search or analyze. Used in funding\_search and company\_funding modes (e.g., 'OpenAI', 'Stripe', 'Anthropic'). ## `investorName` (type: `string`): Investor or VC firm name to track. Used in investor\_activity mode (e.g., 'Sequoia', 'Andreessen Horowitz', 'Y Combinator'). ## `industry` (type: `string`): Industry sector for trend analysis. Used in industry\_trends mode (e.g., 'technology', 'biotechnology', 'software'). ## `state` (type: `string`): US state abbreviation for geographic filtering. Used in sba\_loans and funding\_search modes (e.g., 'CA', 'NY', 'TX'). ## `minAmount` (type: `integer`): Minimum offering amount in dollars for filtering results (e.g., 1000000 for $1M+). ## `maxAmount` (type: `integer`): Maximum offering amount in dollars for filtering results (e.g., 10000000 for up to $10M). ## `dateFrom` (type: `string`): Start date for filing search in YYYY-MM-DD format (e.g., '2023-01-01'). ## `dateTo` (type: `string`): End date for filing search in YYYY-MM-DD format (e.g., '2024-12-31'). ## `limit` (type: `integer`): Maximum number of results to return (1-50). ## Actor input object example ```json { "mode": "funding_search", "limit": 20 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("ntriqpro/sec-edgar-filing-analyzer").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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/sec-edgar-filing-analyzer").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/sec-edgar-filing-analyzer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ntriqpro/sec-edgar-filing-analyzer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC EDGAR Filing Analyzer - Free Corporate Disclosure API", "description": "Free API for SEC EDGAR database search (10-K, 10-Q, 8-K filings). No subscription needed. Access corporate financial disclosures, management reports, and regulatory filings. Government data, pay-per-use.", "version": "1.0", "x-build-id": "oyuHCHpkNbxZGLtd2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ntriqpro~sec-edgar-filing-analyzer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ntriqpro-sec-edgar-filing-analyzer", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ntriqpro~sec-edgar-filing-analyzer/runs": { "post": { "operationId": "runs-sync-ntriqpro-sec-edgar-filing-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ntriqpro~sec-edgar-filing-analyzer/run-sync": { "post": { "operationId": "run-sync-ntriqpro-sec-edgar-filing-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Analysis Mode", "enum": [ "funding_search", "company_funding", "investor_activity", "industry_trends", "sba_loans" ], "type": "string", "description": "Select the type of startup funding analysis to perform", "default": "funding_search" }, "companyName": { "title": "Company Name", "type": "string", "description": "Company name to search or analyze. Used in funding_search and company_funding modes (e.g., 'OpenAI', 'Stripe', 'Anthropic')." }, "investorName": { "title": "Investor / VC Name", "type": "string", "description": "Investor or VC firm name to track. Used in investor_activity mode (e.g., 'Sequoia', 'Andreessen Horowitz', 'Y Combinator')." }, "industry": { "title": "Industry / Sector", "type": "string", "description": "Industry sector for trend analysis. Used in industry_trends mode (e.g., 'technology', 'biotechnology', 'software')." }, "state": { "title": "State", "type": "string", "description": "US state abbreviation for geographic filtering. Used in sba_loans and funding_search modes (e.g., 'CA', 'NY', 'TX')." }, "minAmount": { "title": "Minimum Amount ($)", "minimum": 0, "type": "integer", "description": "Minimum offering amount in dollars for filtering results (e.g., 1000000 for $1M+)." }, "maxAmount": { "title": "Maximum Amount ($)", "minimum": 0, "type": "integer", "description": "Maximum offering amount in dollars for filtering results (e.g., 10000000 for up to $10M)." }, "dateFrom": { "title": "Date From", "type": "string", "description": "Start date for filing search in YYYY-MM-DD format (e.g., '2023-01-01')." }, "dateTo": { "title": "Date To", "type": "string", "description": "End date for filing search in YYYY-MM-DD format (e.g., '2024-12-31')." }, "limit": { "title": "Result Limit", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of results to return (1-50).", "default": 20 } } }, "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 } } } } } } } } } } ```