# SEC Filing Signals API (`soft_but_savage/sec-signals-feed`) Actor Detect insider buys, management changes, offerings, and new risk-factor language from recent SEC filings. Returns structured JSON signals for traders, research teams, and fintech products. - **URL**: https://apify.com/soft\_but\_savage/sec-signals-feed.md - **Developed by:** [Tahira Muhammad](https://apify.com/soft_but_savage) (community) - **Categories:** Developer tools - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.03 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## SEC Filing Signals API Track insider buys, 8-K management changes, clustered offering events, and new risk-factor language from recent SEC filings. Instead of dumping raw EDGAR filings, this Actor returns structured JSON signals you can plug into alerts, research pipelines, dashboards, or fintech products. ### Why use this Actor - Monitor the filings that actually move workflows, not every SEC document - Get event-ready JSON instead of parsing EDGAR by hand - Catch insider buys, executive turnover, and offering activity faster - Collapse multi-filing offering sequences into one cleaner event - Feed structured signals into automations, dashboards, and alerting workflows ### Best for - traders and investors building filing-based alerts - research teams tracking event-driven signals - fintech products that need an SEC signals backend - consultants and agencies monitoring executive changes or capital raises ### Best first run Use this broader watchlist to get visible results quickly: ```json { "tickers": ["AAPL", "MSFT", "NVDA", "GOOGL", "AMZN", "META", "TSLA", "ORCL"], "daysBack": 45, "maxFilingsPerCompany": 20, "marketWideMode": false, "marketWideMaxCompanies": 25, "insiderBuyMinValueUsd": 100000, "insiderBuyMinShares": 1000, "emitManagementSignals": true, "emitOfferingSignals": true, "emitRiskFactorSignals": true, "userAgent": "Soft But Savage research@example.com" } ```` ### What it detects - `insider_buy`: Parsed from Form 4 XML. Only emits when the purchase crosses your value or share threshold. - `management_change`: Parsed from 8-K filings with Item `5.02` or explicit officer-change language. - `offering_announced`: Emitted for common offering forms and offering-like 8-K disclosures, then clustered so related supplements and follow-on 8-Ks become one event. - `new_risk_factor_language`: Compares the latest 10-K or 10-Q risk-factor section against the prior filing and flags materially new wording. ### Scan modes - `watchlist mode`: Monitor the exact tickers or CIKs you pass in. - `marketWideMode: true`: Scan a bounded curated large-cap market universe instead of a custom watchlist. ### Example input ```json { "tickers": ["AAPL", "MSFT", "NVDA", "GOOGL", "AMZN", "META", "TSLA", "ORCL"], "daysBack": 45, "maxFilingsPerCompany": 20, "marketWideMode": false, "marketWideMaxCompanies": 25, "insiderBuyMinValueUsd": 100000, "insiderBuyMinShares": 1000, "emitManagementSignals": true, "emitOfferingSignals": true, "emitRiskFactorSignals": true, "userAgent": "Soft But Savage research@example.com" } ``` ### Example output ```json { "signal_type": "insider_buy", "ticker": "AAPL", "company_name": "Apple Inc.", "cik": "0000320193", "filing_form": "4", "filing_date": "2026-04-03", "accession_number": "0001140361-26-013192", "signal_strength": "high", "insider_name": "Jane Doe", "transaction_code": "P", "shares": 5000.0, "price_per_share": 201.5, "estimated_value_usd": 1007500.0, "filing_url": "https://www.sec.gov/Archives/edgar/data/320193/000114036126013192/xslF345X06/form4.xml" } ``` Example clustered offering output: ```json { "signal_type": "offering_announced", "ticker": "AMZN", "cluster_size": 5, "grouped_filing_forms": ["424B5", "8-K"], "cluster_window_start": "2026-03-10", "cluster_window_end": "2026-03-16", "cluster_reason": "related_offering_sequence" } ``` ### Common use cases - insider buy alerts - executive turnover monitoring - offering and capital-markets monitoring - event-driven research dashboards - SEC signal APIs for internal products ### Why this converts better than a generic SEC scraper Buyers care about filtered events and API-ready outputs, not raw filings. This Actor is positioned as a signal feed, which is easier to understand, easier to test, and easier to justify paying for. # Actor input Schema ## `tickers` (type: `array`): Ticker symbols to monitor in watchlist mode. Ignored when market-wide mode is enabled. ## `ciks` (type: `array`): Optional zero-padded or numeric SEC CIKs. ## `daysBack` (type: `integer`): Only evaluate filings newer than this many days. ## `maxFilingsPerCompany` (type: `integer`): Cap how many recent filings per company are evaluated. ## `marketWideMode` (type: `boolean`): Use a larger curated large-cap market universe instead of the explicit watchlist. ## `marketWideMaxCompanies` (type: `integer`): Limit how many curated large-cap names are scanned when market-wide mode is on. ## `insiderBuyMinValueUsd` (type: `integer`): Only emit insider buy signals when estimated transaction value meets this threshold. ## `insiderBuyMinShares` (type: `integer`): Fallback threshold if transaction price is unavailable. ## `emitManagementSignals` (type: `boolean`): Emit signals for likely executive or director changes. ## `emitOfferingSignals` (type: `boolean`): Emit signals for shelf takedowns, offerings, and offering-like 8-K filings. ## `emitRiskFactorSignals` (type: `boolean`): Compare recent 10-K and 10-Q filings to flag materially new risk-factor language. ## `userAgent` (type: `string`): Identify yourself to the SEC. Include contact info if you deploy publicly. ## `openaiApiKey` (type: `string`): Optional API Key for GPT-4o inference on complex signals. ## Actor input object example ```json { "tickers": [ "AAPL", "MSFT", "NVDA", "GOOGL", "AMZN", "META", "TSLA", "ORCL" ], "daysBack": 45, "maxFilingsPerCompany": 20, "marketWideMode": false, "marketWideMaxCompanies": 25, "insiderBuyMinValueUsd": 100000, "insiderBuyMinShares": 1000, "emitManagementSignals": true, "emitOfferingSignals": true, "emitRiskFactorSignals": true, "userAgent": "Soft But Savage research@example.com" } ``` # Actor output Schema ## `signals` (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 = { "tickers": [ "AAPL", "MSFT", "NVDA", "GOOGL", "AMZN", "META", "TSLA", "ORCL" ], "daysBack": 45, "maxFilingsPerCompany": 20, "marketWideMode": false, "marketWideMaxCompanies": 25, "insiderBuyMinValueUsd": 100000, "insiderBuyMinShares": 1000, "emitManagementSignals": true, "emitOfferingSignals": true, "emitRiskFactorSignals": true, "userAgent": "Soft But Savage research@example.com" }; // Run the Actor and wait for it to finish const run = await client.actor("soft_but_savage/sec-signals-feed").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 = { "tickers": [ "AAPL", "MSFT", "NVDA", "GOOGL", "AMZN", "META", "TSLA", "ORCL", ], "daysBack": 45, "maxFilingsPerCompany": 20, "marketWideMode": False, "marketWideMaxCompanies": 25, "insiderBuyMinValueUsd": 100000, "insiderBuyMinShares": 1000, "emitManagementSignals": True, "emitOfferingSignals": True, "emitRiskFactorSignals": True, "userAgent": "Soft But Savage research@example.com", } # Run the Actor and wait for it to finish run = client.actor("soft_but_savage/sec-signals-feed").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 '{ "tickers": [ "AAPL", "MSFT", "NVDA", "GOOGL", "AMZN", "META", "TSLA", "ORCL" ], "daysBack": 45, "maxFilingsPerCompany": 20, "marketWideMode": false, "marketWideMaxCompanies": 25, "insiderBuyMinValueUsd": 100000, "insiderBuyMinShares": 1000, "emitManagementSignals": true, "emitOfferingSignals": true, "emitRiskFactorSignals": true, "userAgent": "Soft But Savage research@example.com" }' | apify call soft_but_savage/sec-signals-feed --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=soft_but_savage/sec-signals-feed", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC Filing Signals API", "description": "Detect insider buys, management changes, offerings, and new risk-factor language from recent SEC filings. Returns structured JSON signals for traders, research teams, and fintech products.", "version": "0.1", "x-build-id": "7KEG7MDPVWSTapRxr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/soft_but_savage~sec-signals-feed/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-soft_but_savage-sec-signals-feed", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/soft_but_savage~sec-signals-feed/runs": { "post": { "operationId": "runs-sync-soft_but_savage-sec-signals-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/soft_but_savage~sec-signals-feed/run-sync": { "post": { "operationId": "run-sync-soft_but_savage-sec-signals-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "tickers": { "title": "Tickers", "type": "array", "description": "Ticker symbols to monitor in watchlist mode. Ignored when market-wide mode is enabled.", "items": { "type": "string" } }, "ciks": { "title": "CIKs", "type": "array", "description": "Optional zero-padded or numeric SEC CIKs.", "items": { "type": "string" } }, "daysBack": { "title": "Days back", "minimum": 1, "maximum": 365, "type": "integer", "description": "Only evaluate filings newer than this many days.", "default": 45 }, "maxFilingsPerCompany": { "title": "Max filings per company", "minimum": 5, "maximum": 100, "type": "integer", "description": "Cap how many recent filings per company are evaluated.", "default": 20 }, "marketWideMode": { "title": "Market-wide mode", "type": "boolean", "description": "Use a larger curated large-cap market universe instead of the explicit watchlist.", "default": false }, "marketWideMaxCompanies": { "title": "Market-wide max companies", "minimum": 5, "maximum": 40, "type": "integer", "description": "Limit how many curated large-cap names are scanned when market-wide mode is on.", "default": 25 }, "insiderBuyMinValueUsd": { "title": "Insider buy minimum value", "minimum": 0, "type": "integer", "description": "Only emit insider buy signals when estimated transaction value meets this threshold.", "default": 100000 }, "insiderBuyMinShares": { "title": "Insider buy minimum shares", "minimum": 0, "type": "integer", "description": "Fallback threshold if transaction price is unavailable.", "default": 1000 }, "emitManagementSignals": { "title": "Emit management change signals", "type": "boolean", "description": "Emit signals for likely executive or director changes.", "default": true }, "emitOfferingSignals": { "title": "Emit offering signals", "type": "boolean", "description": "Emit signals for shelf takedowns, offerings, and offering-like 8-K filings.", "default": true }, "emitRiskFactorSignals": { "title": "Emit risk factor signals", "type": "boolean", "description": "Compare recent 10-K and 10-Q filings to flag materially new risk-factor language.", "default": true }, "userAgent": { "title": "SEC User-Agent", "type": "string", "description": "Identify yourself to the SEC. Include contact info if you deploy publicly.", "default": "Soft But Savage research@example.com" }, "openaiApiKey": { "title": "OpenAI API Key", "type": "string", "description": "Optional API Key for GPT-4o inference on complex signals." } } }, "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 } } } } } } } } } } ```