# SEC Material Event Tracker (8-K Filings, Scored) (`saint_person/sec-material-event-tracker`) Actor Track material corporate events (executive changes, M\&A, bankruptcy, auditor changes) for up to 5 US public companies at once, scored by significance from official SEC 8-K filings. - **URL**: https://apify.com/saint\_person/sec-material-event-tracker.md - **Developed by:** [saint person](https://apify.com/saint_person) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## ๐Ÿ“‹ SEC Material Event Tracker > ๐Ÿš€ **Track material corporate events across your whole watchlist at once - scored by significance, straight from official SEC filings.** Enter one ticker, or up to 5 comma-separated tickers, and get every 8-K filing event **labeled and ranked HIGH/MEDIUM/LOW** - executive changes, M&A, bankruptcy, and auditor changes surface first. Built on the official SEC EDGAR API - no scraping, no breakage. > ๐Ÿ•’ **Last updated:** 2026-07-07 ยท ๐Ÿ“Š **8 fields** per scored filing event ยท ๐Ÿ“‹ **8-K item scoring** ยท โš–๏ธ **Multi-ticker watchlist** ยท ๐Ÿ”“ **No auth required** > ๐ŸŽ **Try it free:** the free Apify plan returns up to **10 results per run** โ€” enough to see the output quality. Any paid Apify plan unlocks full-size runs. The SEC Material Event Tracker turns a company's raw 8-K filing history into a ranked list of what actually matters. Enter any US public company ticker (or up to 5, comma-separated, to monitor a whole watchlist in one run) and the Actor queries the official SEC EDGAR submissions API, maps every 8-K's item code to a plain-English label, and scores each filing HIGH, MEDIUM, or LOW significance. Not every 8-K matters equally: an executive resignation or an auditor change (HIGH) is a very different signal than routine exhibit filings (LOW). Because each run can cover multiple tickers, comparing 'AAPL, MSFT, TSLA' in one run shows you which companies in a portfolio just had a material event, without opening five EDGAR pages. Results are flat JSON rows ready for CSV, Excel, or direct API consumption. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | | --- | --- | | Retail investors, equity research analysts, compliance teams, financial due-diligence teams, AI research agents | Portfolio monitoring, material-event alerting, due diligence, compliance tracking, automated screening | --- ### ๐Ÿ“‹ What SEC Material Event Tracker does One input, one run, a clean dataset: - ๐Ÿ“‹ **Item-code scoring.** Every 8-K's item codes mapped to a plain-English label and a HIGH/MEDIUM/LOW significance tier. - โš–๏ธ **Multi-ticker watchlist.** Monitor up to 5 companies in one run, each row tagged with its ticker. - ๐ŸŽฏ **Ranked output.** Rows sorted by significance first, so the most material events surface at the top. - ๐Ÿ”— **Direct filing links.** Every row includes a link straight to the filing on SEC EDGAR. > ๐Ÿ’ก **Why it matters:** 8-K filings are how public companies disclose material events between quarterly reports, but SEC EDGAR only shows you a bare list of filing dates and forms - you have to open each one to learn what happened. Scoring by item code means you can screen a whole watchlist for HIGH-significance events (executive changes, bankruptcy, M&A) in one run instead of opening every filing. --- ### ๐ŸŽฌ Full demo ๐Ÿšง Video walkthrough coming soon โ€” the Quick Start below takes under 3 minutes end to end. --- ### โš™๏ธ Input | Input | Type | Default | Behavior | | --- | --- | --- | --- | | `tickers` | string | `"AAPL"` | Ticker, or comma-separated tickers to monitor (max 5). | | `daysBack` | integer | `90` | How many days back to search for 8-Ks, per ticker (1-365). | | `maxResults` | integer | `20` | Filing events to return per ticker, most significant first. Controls cost. | **Example: track material events for one company** ```json { "tickers": "AAPL", "daysBack": 90, "maxResults": 20 } ```` **Example: monitor a 3-company watchlist** ```json { "tickers": "AAPL, MSFT, TSLA", "daysBack": 180, "maxResults": 10 } ``` > โš ๏ธ **Good to know:** Significance tiers are based on the SEC's own Form 8-K item categories (e.g. Item 5.02 Executive Changes, Item 1.03 Bankruptcy = HIGH; Item 2.02 Earnings Results = MEDIUM; Item 9.01 Exhibits = LOW), not sentiment analysis of filing text. maxResults applies per ticker. *** ### ๐Ÿ“Š Output Each scored filing event returns **8 fields**. Download as CSV, Excel, JSON, or XML, or consume via the Apify API. #### ๐Ÿงพ Schema | Field | Type | Example | | --- | --- | --- | | ๐Ÿท๏ธ `ticker` | string | `"AAPL"` | | ๐Ÿข `companyName` | string | `"Apple Inc."` | | ๐Ÿ“… `filingDate` | string | `"2026-05-01"` | | ๐Ÿ”ข `accessionNumber` | string | `"0000320193-26-000047"` | | ๐Ÿ”– `itemCodes` | string | `"5.02,9.01"` | | ๐Ÿ“ `itemLabels` | string\[] | `["Executive/Director Changes"]` | | ๐ŸŽฏ `significance` | string | `"HIGH"` | | ๐Ÿ”— `filingUrl` | string | `"https://www.sec.gov/Archives/edgar/data/320193/..."` | #### ๐Ÿ“ฆ Sample record ```json { "ticker": "AAPL", "companyName": "Apple Inc.", "filingDate": "2026-05-01", "accessionNumber": "0000320193-26-000047", "itemCodes": "5.02,9.01", "itemLabels": ["Executive/Director Changes", "Financial Statements/Exhibits"], "significance": "HIGH", "filingUrl": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000047/" } ``` *** ### โœจ Why choose this Actor | | Capability | | --- | --- | | โš–๏ธ | **Watchlist, not one lookup.** Up to 5 tickers monitored in one run - see which companies just had a material event. | | ๐Ÿ“‹ | **Scored significance, not a raw filing list.** Item codes mapped to plain-English labels and a HIGH/MEDIUM/LOW tier. | | ๐ŸŽฏ | **Ranked output.** Most significant events sort to the top automatically. | | โšก | **Built on the official SEC EDGAR submissions API.** Stable and durable โ€” no breakage from page redesigns. | | ๐Ÿ” | **Automatic retries.** Transient failures retry with backoff; errors are logged clearly, never silent. | | ๐Ÿ’ณ | **Pay per result.** No subscription. A typical run costs $0.09 for one ticker (20 events); $0.19 monitoring 3 tickers at 15 results each (45 rows). | > ๐Ÿ“Š Public companies file thousands of 8-Ks a year. Scoring by item code turns a bare filing-date list into a screenable significance ranking in one run. *** ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Refresh | Setup | | --- | --- | --- | --- | --- | | **โญ SEC Material Event Tracker** *(this Actor)* | $5 free credit, then pay-per-use | Any US public company that files 8-Ks with the SEC | **Live per run** | โšก 2 min | | Bloomberg Terminal / FactSet alerts | $2,000+/month | Full market data + alerts | Live | ๐Ÿข Enterprise-only pricing | | Manual EDGAR filing review | Free | Whatever you read | One-shot | ๐Ÿข Opening every filing manually | | Manual copy-paste | Free | Current session only | One-shot | ๐Ÿข Hours of clicking | Pick this Actor when you want a scored, watchlist-wide view of material corporate events on demand - per run, not per manual filing check. *** ### ๐Ÿš€ How to use 1. ๐Ÿ“ **Sign up.** Create a free Apify account with $5 credit (takes 2 minutes). 2. ๐ŸŒ **Open the Actor.** Go to the SEC Material Event Tracker page on the Apify Store. 3. โœ๏ธ **Set your input.** Enter one or more tickers (comma-separated) in `tickers` โ€” or just press Start, the prefilled example works. 4. ๐Ÿš€ **Run it.** Watch results stream into the Dataset tab. 5. ๐Ÿ“ฅ **Download.** Grab results as CSV, Excel, JSON, or XML โ€” or pipe them anywhere via the Apify API. > โฑ๏ธ Total time from signup to downloaded dataset: **3โ€“5 minutes.** No coding required. *** ### ๐Ÿ’ผ Business use cases - ๐Ÿ’ผ **Retail investors** - screen a watchlist for HIGH-significance events (executive changes, bankruptcy risk) without opening EDGAR. - ๐Ÿ“Š **Equity research analysts** - pull a scored event history into models or notes without manual filing review. - ๐Ÿ” **Due-diligence teams** - quick material-event check on an acquisition target or vendor before deeper review. - ๐Ÿค– **AI research agents** - agent calls the Actor via MCP, screens a portfolio nightly, flags newly-HIGH events automatically. *** ### ๐ŸŒŸ Beyond business use cases Data like this powers more than commercial workflows: - ๐ŸŽ“ **Research & academia** โ€” empirical datasets for papers and coursework; longitudinal studies across scheduled snapshots; reproducible, citable data pulls. - ๐ŸŽจ **Personal & creative** โ€” side projects, dashboards, visualizations; content research for bloggers, YouTubers, and podcasters. - ๐Ÿค **Non-profit & civic** โ€” transparency reporting, advocacy backed by public-interest data, community databases. - ๐Ÿงช **Experimentation** โ€” prototype AI/ML pipelines on real data; validate product hypotheses before engineering spend. *** ### ๐Ÿ”Œ Automating SEC Material Event Tracker Control this Actor programmatically for scheduled runs and pipelines: **Node.js** (`apify-client` on NPM): ```javascript const { ApifyClient } = require('apify-client'); const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' }); const run = await client.actor('saint_person/sec-material-event-tracker').call({ "tickers": "AAPL", "daysBack": 90, "maxResults": 20 }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); ``` **Python** (`apify-client` on PyPI): ```python from apify_client import ApifyClient client = ApifyClient('YOUR_APIFY_TOKEN') run = client.actor('saint_person/sec-material-event-tracker').call(run_input={ "tickers": "AAPL", "daysBack": 90, "maxResults": 20 }) items = client.dataset(run['defaultDatasetId']).list_items().items ``` ๐Ÿ“š [Full Apify API documentation](https://docs.apify.com/api/v2) [Apify Schedules](https://docs.apify.com/platform/schedules) triggers this Actor on any cron interval โ€” hourly for fresh monitoring, daily for feeds, weekly for historical datasets. *** ### ๐Ÿง  Use via MCP (for AI agents) SEC Material Event Tracker is directly callable by any MCP-compatible AI agent (Claude, ChatGPT, Cursor, and others) through Apify's hosted MCP server โ€” no custom integration code needed. Add this to your MCP client config (e.g. Claude Desktop's `claude_desktop_config.json`): ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com/sse?actors=saint_person/sec-material-event-tracker", "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" } } } } ``` Once connected, just ask your agent something like: *"Use the SEC Material Event Tracker Actor to pull scored filing event data for my target and summarize it."* The agent reads the input schema automatically and calls the Actor directly โ€” no manual dataset download step. ๐Ÿ“š [Apify MCP server docs](https://docs.apify.com/platform/integrations/mcp) *** ### ๐Ÿค– Ask an AI assistant about this Actor Open a ready-to-send prompt in the AI of your choice: - ๐Ÿ’ฌ [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20SEC%20Material%20Event%20Tracker%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿง  [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20SEC%20Material%20Event%20Tracker%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ” [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20SEC%20Material%20Event%20Tracker%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) *** ### โ“ Frequently Asked Questions #### ๐Ÿงฉ How does it work? Enter one ticker, or up to 5 comma-separated tickers, and click Start. For each ticker, the Actor resolves it to its SEC CIK number, queries the official SEC EDGAR submissions API for recent filings, filters to 8-Ks within the requested day range, maps each filing's item code(s) to a plain-English label and significance tier, and returns the results ranked by significance. #### ๐Ÿ”‘ Do I need a SEC account or API key? No - the Actor works out of the box. SEC EDGAR's API is public and requires no authentication. #### ๐ŸŽฏ How is significance calculated? Each 8-K item code maps to a fixed tier based on the SEC's own Form 8-K item categories: HIGH for events like executive changes, M\&A completion, bankruptcy, auditor changes, and debt defaults; MEDIUM for earnings results and Reg FD disclosures; LOW for routine items like exhibits. A filing with multiple item codes takes its highest tier. #### ๐ŸŒ Does this cover non-8-K filings like 10-Ks or 10-Qs? No - this Actor is focused specifically on 8-Ks, the SEC's real-time material-event disclosure form. For financial statement history (revenue, income, balance sheet trends), see the Public Company Financials Actor in this collection. #### โฐ Can I schedule regular runs? Yes. Use Apify Schedules to run this Actor on any cron interval (hourly, daily, weekly). #### โš–๏ธ Is this data legal to collect? This Actor only collects data that is publicly accessible through the official SEC EDGAR API, a public government data service. No login, no bypass of access controls. You are responsible for complying with the source's Terms of Service and any regulations that apply to your use. #### ๐Ÿ’ณ Do I need a paid Apify plan? No. The free Apify plan is enough for testing and small runs. Paid plans unlock larger runs, scheduling, and higher concurrency. #### ๐Ÿ” What happens if a run fails? Transient errors retry automatically with backoff. If a run still fails, the log explains exactly why, and partial results are preserved โ€” you never lose progress. #### ๐Ÿ†˜ What if I need help? Open an issue on this Actor's Issues tab โ€” reliability is the whole point, and issues get fixed with priority. You can also request custom features or entirely new Actors there. *** ### ๐Ÿ”Œ Integrate with any app SEC Material Event Tracker connects to any cloud service via [Apify integrations](https://apify.com/integrations): - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) โ€” connect with 5,000+ apps - [**Make**](https://docs.apify.com/platform/integrations/make) โ€” automate multi-step workflows - [**n8n**](https://docs.apify.com/platform/integrations) โ€” self-hosted automation - [**Google Sheets**](https://docs.apify.com/platform/integrations/drive) โ€” export datasets to a shared sheet - [**Slack**](https://docs.apify.com/platform/integrations/slack) โ€” run notifications in your channels - [**Gmail**](https://docs.apify.com/platform/integrations/gmail) โ€” email results automatically after each run - [**Webhooks**](https://docs.apify.com/platform/integrations/webhooks) โ€” trigger downstream pipelines - [**MCP**](https://docs.apify.com/platform/integrations/mcp) โ€” let AI agents call this Actor directly *** ### ๐Ÿงฉ Works even better together Pair this Actor with Public Company Financials in this collection: track 5-year revenue/profit trends there, then monitor for material events here - a HIGH-significance auditor change or executive departure often precedes a shift in the financial trend. *** ### ๐Ÿ”— Recommended Actors - ๐Ÿ“บ **[YouTube Content Gap Analyzer](https://apify.com/saint_person/youtube-content-gap-analyzer)** - find untapped video ideas in any niche. - ๐Ÿฆ‹ **[Bluesky Niche Analytics](https://apify.com/saint_person/bluesky-niche-analytics)** - find the top engaged accounts in any topic. - ๐ŸŒ **[USGS Seismic Risk Profiler](https://apify.com/saint_person/usgs-seismic-risk-profiler)** - assess earthquake risk for any US location. - ๐Ÿ“ˆ **[Public Company Financials](https://apify.com/saint_person/public-company-financials)** - 5-year financial trends for any US public company. - ๐Ÿ”ฅ **[Hacker News Topic Momentum Tracker](https://apify.com/saint_person/hn-topic-momentum-tracker)** - find which HN topics are gaining momentum right now. > ๐Ÿ’ก **Pro tip:** browse the complete [ParseForge collection](https://apify.com/saint_person) for more tools like this. *** ### ๐Ÿ†˜ Help & custom requests - ๐Ÿ› **Something not working?** Open an issue on this Actor's **Issues tab** โ€” reliability is the whole point, and issues are fixed with priority. - ๐Ÿ› ๏ธ **Need a custom feature, a different data source, or an entirely new Actor built for you?** Open an issue describing what you need โ€” custom builds are available. *** > **โš ๏ธ Disclaimer:** this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the U.S. Securities and Exchange Commission (SEC). All trademarks are the property of their respective owners. Only publicly available data is collected. # Actor input Schema ## `tickers` (type: `string`): One US stock ticker (e.g. 'AAPL'), or up to 5 comma-separated tickers to monitor at once (e.g. 'AAPL, MSFT, TSLA'). Case-insensitive. ## `daysBack` (type: `integer`): How many days back to search for 8-K filings, per ticker. Default 90. ## `maxResults` (type: `integer`): Maximum 8-K filing events to return per ticker, most recent first. Controls your cost: you pay per result. ## Actor input object example ```json { "tickers": "AAPL", "daysBack": 90, "maxResults": 20 } ``` # 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", "daysBack": 90, "maxResults": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("saint_person/sec-material-event-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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", "daysBack": 90, "maxResults": 20, } # Run the Actor and wait for it to finish run = client.actor("saint_person/sec-material-event-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "tickers": "AAPL", "daysBack": 90, "maxResults": 20 }' | apify call saint_person/sec-material-event-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=saint_person/sec-material-event-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SEC Material Event Tracker (8-K Filings, Scored)", "description": "Track material corporate events (executive changes, M&A, bankruptcy, auditor changes) for up to 5 US public companies at once, scored by significance from official SEC 8-K filings.", "version": "1.0", "x-build-id": "iubR40LenrfN4cIpX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/saint_person~sec-material-event-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-saint_person-sec-material-event-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/saint_person~sec-material-event-tracker/runs": { "post": { "operationId": "runs-sync-saint_person-sec-material-event-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/saint_person~sec-material-event-tracker/run-sync": { "post": { "operationId": "run-sync-saint_person-sec-material-event-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Ticker(s)", "type": "string", "description": "One US stock ticker (e.g. 'AAPL'), or up to 5 comma-separated tickers to monitor at once (e.g. 'AAPL, MSFT, TSLA'). Case-insensitive." }, "daysBack": { "title": "Days of history", "minimum": 1, "maximum": 365, "type": "integer", "description": "How many days back to search for 8-K filings, per ticker. Default 90.", "default": 90 }, "maxResults": { "title": "Max results per ticker", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum 8-K filing events to return per ticker, most recent first. Controls your cost: you pay per result.", "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 } } } } } } } } } } ```