# Public Company Financials - SEC EDGAR Trend Analysis (`saint_person/public-company-financials`) Actor Get 5-year revenue, profit, and balance-sheet trends for any US public company, straight from official SEC EDGAR filings. - **URL**: https://apify.com/saint\_person/public-company-financials.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“ˆ Public Company Financials > ๐Ÿš€ **Get 5-year revenue, profit, and balance-sheet trends for any US public company in seconds.** Enter a ticker and get **revenue, net income, assets, liabilities, and equity - with year-over-year growth and trend labels** straight from official SEC filings. Built on the official SEC EDGAR API - no scraping, no breakage. > ๐Ÿ•’ **Last updated:** 2026-07-07 ยท ๐Ÿ“Š **9 fields** per financial metric row ยท ๐Ÿ›๏ธ **Official SEC data** ยท ๐Ÿ“ˆ **5-year trend analysis** 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. Public Company Financials turns raw SEC XBRL filings into a ready-to-use financial trend dataset. Enter any US public company's stock ticker and the Actor queries the official SEC EDGAR API, extracting annual revenue, net income, total assets, total liabilities, and stockholders equity for the last several fiscal years - each figure sourced directly from the company's own 10-K filings. Every row includes year-over-year growth percentage and a GROWING/DECLINING/FLAT trend label, so you get a financial trend, not a single snapshot. Results are flat JSON rows ready for CSV, Excel, or direct API consumption - built for investors, analysts, and AI agents screening companies automatically. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | | --- | --- | | Retail investors, equity research analysts, financial due-diligence teams, fintech builders, AI investment-research agents | Company screening, financial trend analysis, due diligence, portfolio monitoring, automated research pipelines | --- ### ๐Ÿ“‹ What Public Company Financials does One input, one run, a clean dataset: - ๐Ÿ“Š **5-year financial history.** Revenue, net income, total assets, total liabilities, and stockholders equity per fiscal year. - ๐Ÿ“ˆ **Year-over-year growth.** Every metric includes a computed growth percentage against the prior fiscal year. - ๐Ÿท๏ธ **Trend labels.** Each row is tagged GROWING, DECLINING, or FLAT - a scored read, not a raw number dump. - โœ… **Restatement-aware.** When a company revises a prior year's figures, the Actor keeps the most recently filed value, not a stale one. > ๐Ÿ’ก **Why it matters:** raw SEC filings are dense XBRL documents built for compliance, not analysis - pulling even one company's 5-year revenue trend by hand means digging through multiple 10-Ks. This Actor turns that into one run and a clean trend table. --- ### 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 | | --- | --- | --- | --- | | `ticker` | string | `"AAPL"` | US stock ticker symbol. Case-insensitive. | | `yearsBack` | integer | `5` | Fiscal years of history to return per metric (1-10). | **Example: 5-year trend for Apple** ```json { "ticker": "AAPL", "yearsBack": 5 } ```` **Example: quick 2-year check, smallest cost** ```json { "ticker": "MSFT", "yearsBack": 2 } ``` > โš ๏ธ **Good to know:** Only companies that file 10-Ks with the SEC (US-listed public companies) are covered. New annual figures appear only after the company files its next 10-K, typically once a year. *** ### ๐Ÿ“Š Output Each financial metric row returns **9 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“Š `metric` | string | `"Revenue"` | | ๐Ÿ“… `fiscalYear` | integer | `2023` | | ๐Ÿ’ฐ `valueUsd` | number | `383285000000` | | ๐Ÿ“ˆ `yoyGrowthPct` | number|null | `-2.8` | | ๐Ÿท๏ธ `trend` | string|null | `"DECLINING"` | | ๐Ÿ“„ `form` | string | `"10-K"` | | ๐Ÿ—“๏ธ `filedDate` | string | `"2023-11-03"` | #### ๐Ÿ“ฆ Sample record ```json { "ticker": "AAPL", "companyName": "Apple Inc.", "metric": "Revenue", "fiscalYear": 2023, "valueUsd": 383285000000, "yoyGrowthPct": -2.8, "trend": "DECLINING", "form": "10-K", "filedDate": "2023-11-03" } ``` *** ### โœจ Why choose this Actor | | Capability | | --- | --- | | ๐Ÿ›๏ธ | **Official SEC data.** Sourced directly from XBRL filings, not a third-party financial data reseller. | | ๐Ÿ“ˆ | **Trend, not snapshot.** Year-over-year growth and trend labels computed automatically across up to 10 years. | | โœ… | **Restatement-aware.** Keeps the most recently filed figure per fiscal year instead of a superseded one. | | โšก | **Built on the official SEC EDGAR XBRL 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 $0.14 (5 metrics x 5 years = ~25 rows). | > ๐Ÿ“Š Over 4,000 companies file 10-Ks with the SEC every year. Turning one ticker's filing history into a usable trend table normally takes 20-30 minutes of manual digging per company - this Actor does it in one run. *** ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Refresh | Setup | | --- | --- | --- | --- | --- | | **โญ Public Company Financials** *(this Actor)* | $5 free credit, then pay-per-use | Any US public company that files 10-Ks with the SEC | **Live per run** | โšก 2 min | | Bloomberg Terminal / FactSet | $2,000+/month | Full market data | Live | ๐Ÿข Enterprise-only pricing | | Manual EDGAR filing review | Free | Whatever you read | One-shot | ๐Ÿข 20-30 min per company | | Manual copy-paste | Free | Current session only | One-shot | ๐Ÿข Hours of clicking | Pick this Actor when you want you want a clean, scored financial trend table on demand - per company, instant, no subscription. *** ### 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 Public Company Financials page on the Apify Store. 3. โœ๏ธ **Set your input.** Enter the company's stock ticker in `ticker` 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 revenue/profit trends before buying; spot DECLINING trends early. - ๐Ÿ“Š **Equity research analysts** - pull clean historical figures into models without manual EDGAR digging. - ๐Ÿ” **Due-diligence teams** - quick financial health check on an acquisition target or vendor. - ๐Ÿค– **AI investment-research agents** - agent calls the Actor via MCP, screens a list of tickers, flags DECLINING trends 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 Public Company Financials 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/public-company-financials').call({ "ticker": "AAPL", "yearsBack": 5 }); 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/public-company-financials').call(run_input={ "ticker": "AAPL", "yearsBack": 5 }) 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) Public Company Financials 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/public-company-financials", "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" } } } } ``` Once connected, just ask your agent something like: *"Use the Public Company Financials Actor to pull financial metric row 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%20Public%20Company%20Financials%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%20Public%20Company%20Financials%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%20Public%20Company%20Financials%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 a ticker, click Start. The Actor resolves the ticker to its SEC CIK number, then makes one request to SEC EDGAR's XBRL companyfacts API, which returns every financial concept for the company at once. It filters to annual 10-K figures for five core metrics, reconciles the two possible Revenue tags (companies changed reporting taxonomy around 2018) into a single per-fiscal-year series so you never see duplicate years, and returns one row per metric per fiscal year with computed year-over-year growth. #### 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. #### ๐Ÿ“ˆ How is the trend label calculated? trend compares each fiscal year's value to the prior year: growth above +1% = GROWING, below -1% = DECLINING, otherwise FLAT. The earliest year returned has no prior year to compare, so its trend is null. #### ๐ŸŒ Does this cover non-US or private companies? No - only companies that file 10-Ks with the U.S. SEC are covered. That includes all US-listed public companies (NYSE, Nasdaq) but not private companies or most foreign issuers that file 20-F instead. #### 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 Public Company Financials 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 a due-diligence or research pipeline: pull financial trends here, then combine with your own risk models or screening criteria. Cross-reference against the USGS Seismic Risk Profiler for real-asset-heavy companies (REITs, industrials) to check location risk alongside financial health. *** ### 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’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 ## `ticker` (type: `string`): US public company stock ticker, e.g. AAPL, MSFT, TSLA. Case-insensitive. Must be a company that files 10-Ks with the SEC. ## `yearsBack` (type: `integer`): How many fiscal years of financial history to return per metric. Default 5. ## Actor input object example ```json { "ticker": "AAPL", "yearsBack": 5 } ``` # 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 = { "ticker": "AAPL", "yearsBack": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("saint_person/public-company-financials").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 = { "ticker": "AAPL", "yearsBack": 5, } # Run the Actor and wait for it to finish run = client.actor("saint_person/public-company-financials").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 '{ "ticker": "AAPL", "yearsBack": 5 }' | apify call saint_person/public-company-financials --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=saint_person/public-company-financials", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Public Company Financials - SEC EDGAR Trend Analysis", "description": "Get 5-year revenue, profit, and balance-sheet trends for any US public company, straight from official SEC EDGAR filings.", "version": "1.0", "x-build-id": "BEhY0e8Pu0GKyoC1T" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/saint_person~public-company-financials/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-saint_person-public-company-financials", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/saint_person~public-company-financials/runs": { "post": { "operationId": "runs-sync-saint_person-public-company-financials", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/saint_person~public-company-financials/run-sync": { "post": { "operationId": "run-sync-saint_person-public-company-financials", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "ticker" ], "properties": { "ticker": { "title": "Stock ticker symbol", "type": "string", "description": "US public company stock ticker, e.g. AAPL, MSFT, TSLA. Case-insensitive. Must be a company that files 10-Ks with the SEC." }, "yearsBack": { "title": "Years of history", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many fiscal years of financial history to return per metric. Default 5.", "default": 5 } } }, "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 } } } } } } } } } } ```