# SEC 8-K Material Events Tracker by Ticker (`v0iddo/sec-8k-material-events-tracker`) Actor Pull recent SEC 8-K filings (Current Reports) by stock ticker. One clean row per filing — ticker, company, filing date, accession, parsed 8-K Item numbers, summary of items reported. Built for cron: pass sinceDays=1 for yesterday's material events. Source: SEC EDGAR (free, no auth). - **URL**: https://apify.com/v0iddo/sec-8k-material-events-tracker.md - **Developed by:** [vøiddo](https://apify.com/v0iddo) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 8-k filing extracteds 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 ## SEC 8-K Material Events Tracker — by Ticker Pull recent **SEC 8-K filings** (Current Reports) by stock ticker. One clean row per filing — ticker, company, filing date, accession number, parsed **8-K Item numbers** (1.01, 5.02, 8.01, ...), and a brief summary of items reported. Built for **traders, fund analysts, journalists, M&A watchers** who want a flat JSON/CSV feed of material corporate events without writing the EDGAR XML pipeline themselves. Pairs cleanly with our **SEC Form 4 Insider Trades** actor — same source, different lens. ### What you get One row per 8-K filing: | field | example | |---|---| | ticker | `AAPL` | | companyCik | `320193` | | companyName | `Apple Inc.` | | filingDate | `2026-05-29` | | accessionNumber | `0001140361-26-023363` | | reportDate | `2026-05-27` | | items | `["1.01", "5.02"]` (parsed from primary doc) | | itemSummaries | `["1.01: Entry into a Material Definitive Agreement", "5.02: Departure of Directors..."]` | | primaryDocument | `eh1234.htm` | | filingUrl | https://www.sec.gov/Archives/edgar/data/320193/... | | indexUrl | https://www.sec.gov/cgi-bin/browse-edgar?action=... | ### Inputs ```json { "tickers": ["AAPL", "TSLA", "NVDA"], "sinceDays": 7, "itemsFilter": ["1.01", "5.02"] } ```` | input | default | notes | |---|---|---| | `tickers` | — | Required. Mixed case ok. | | `sinceDays` | `30` | Use `1` for daily cron. | | `since` | — | YYYY-MM-DD, overrides `sinceDays`. | | `until` | today | YYYY-MM-DD, inclusive. | | `itemsFilter` | all | Restrict by 8-K Item numbers (e.g. `1.01`, `5.02`). | | `userAgent` | preset | SEC wants a contact in UA. | ### 8-K Item cheat sheet The most-watched items: - **1.01** Entry into a Material Definitive Agreement (M\&A, key contracts) - **2.01** Completion of Acquisition or Disposition of Assets - **2.02** Results of Operations and Financial Condition - **3.02** Unregistered Sales of Equity Securities - **4.01/4.02** Auditor changes - **5.02** Departure / appointment of officers or directors - **5.07** Submission of Matters to a Vote of Security Holders - **7.01** Regulation FD Disclosure - **8.01** Other Events - **9.01** Financial Statements and Exhibits ### Daily cron pattern ```json { "tickers": ["AAPL", "MSFT", "TSLA"], "sinceDays": 1 } ``` Schedule daily after 22:00 UTC (post-trading day). Each run yields only fresh material events. ### What it doesn't do - Doesn't return the full 8-K body — `filingUrl` lets you fetch the HTML if you need the prose. - No prediction or sentiment — raw metadata only. - No insider transaction data — see our SEC Form 4 actor for that. ### Maintained by [vøiddo studio](https://voiddo.com). # Actor input Schema ## `tickers` (type: `array`): Stock ticker symbols. Mixed case ok. ## `sinceDays` (type: `integer`): filingDate >= now-sinceDays. Use 1 for a daily cron. ## `since` (type: `string`): Overrides sinceDays if set. ## `until` (type: `string`): Inclusive. Defaults to today. ## `itemsFilter` (type: `array`): Filter by 8-K Item numbers reported. Empty = all. Examples: 1.01 (entry into material agreement), 5.02 (officer changes), 8.01 (other events). ## `userAgent` (type: `string`): SEC requires a contact in the UA header. ## Actor input object example ```json { "tickers": [ "AAPL", "TSLA" ], "sinceDays": 30, "itemsFilter": [], "userAgent": "voiddo studio sec-8k ops@voiddo.com" } ``` # 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", "TSLA" ] }; // Run the Actor and wait for it to finish const run = await client.actor("v0iddo/sec-8k-material-events-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 = { "tickers": [ "AAPL", "TSLA", ] } # Run the Actor and wait for it to finish run = client.actor("v0iddo/sec-8k-material-events-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 '{ "tickers": [ "AAPL", "TSLA" ] }' | apify call v0iddo/sec-8k-material-events-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=v0iddo/sec-8k-material-events-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC 8-K Material Events Tracker by Ticker", "description": "Pull recent SEC 8-K filings (Current Reports) by stock ticker. One clean row per filing — ticker, company, filing date, accession, parsed 8-K Item numbers, summary of items reported. Built for cron: pass sinceDays=1 for yesterday's material events. Source: SEC EDGAR (free, no auth).", "version": "0.1", "x-build-id": "K5WGvk02MKff1m4ay" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/v0iddo~sec-8k-material-events-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-v0iddo-sec-8k-material-events-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/v0iddo~sec-8k-material-events-tracker/runs": { "post": { "operationId": "runs-sync-v0iddo-sec-8k-material-events-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/v0iddo~sec-8k-material-events-tracker/run-sync": { "post": { "operationId": "run-sync-v0iddo-sec-8k-material-events-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "tickers" ], "properties": { "tickers": { "title": "Tickers", "type": "array", "description": "Stock ticker symbols. Mixed case ok.", "items": { "type": "string" } }, "sinceDays": { "title": "Look back (days)", "minimum": 1, "maximum": 3650, "type": "integer", "description": "filingDate >= now-sinceDays. Use 1 for a daily cron.", "default": 30 }, "since": { "title": "Or explicit start date (YYYY-MM-DD)", "type": "string", "description": "Overrides sinceDays if set." }, "until": { "title": "End date (YYYY-MM-DD)", "type": "string", "description": "Inclusive. Defaults to today." }, "itemsFilter": { "title": "Restrict to specific 8-K Items", "type": "array", "description": "Filter by 8-K Item numbers reported. Empty = all. Examples: 1.01 (entry into material agreement), 5.02 (officer changes), 8.01 (other events).", "default": [], "items": { "type": "string" } }, "userAgent": { "title": "User-Agent for SEC requests", "type": "string", "description": "SEC requires a contact in the UA header.", "default": "voiddo studio sec-8k ops@voiddo.com" } } }, "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 } } } } } } } } } } ```