Company Financial Fundamentals

Track company financial fundamentals from SEC XBRL from SEC EDGAR, parsed into clean JSON. Built for analysts, funds, fintech builders and AI agents. Factual public SEC/EDGAR data — not financial or investment advice. Not affiliated with the U.S. SEC.

📊 Sample Output

mode	cik	company	metric	value	period_end
company	320193	Apple Inc.	Revenues	416161000000	2025-09-27
company	320193	Apple Inc.	NetIncomeLoss	112010000000	2025-09-27
company	320193	Apple Inc.	Assets	359241000000	2025-09-27
company	320193	Apple Inc.	Liabilities	285508000000	2025-09-27
company	320193	Apple Inc.	StockholdersEquity	73733000000	2025-09-27
company	320193	Apple Inc.	OperatingIncomeLoss	133050000000	2025-09-27

Real rows from run 1lfhgcKf1GdxWyACK on build 0.0.7 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

🔧 Input reference

Field	Type	Default	What it does
mode	string (company, frame)	"company"	company = pull metrics for specific tickers; frame = one metric across ALL companies for a period.
tickers	array	["AAPL", "MSFT", "NVDA"]	Stock tickers to pull fundamentals for (e.g. AAPL, MSFT, NVDA).
metrics	array		US-GAAP XBRL concepts to extract. Empty = a default set (Revenues, NetIncomeLoss, Assets, Liabilities, StockholdersEquity, OperatingIncomeLoss, GrossProfit, EarningsPerShareDilute…
frame_metric	string	"NetIncomeLoss"	For frame mode: the US-GAAP concept (e.g. NetIncomeLoss, Revenues, Assets).
frame_period	string	"CY2024"	For frame mode: period like CY2024 (calendar year) or CY2024Q1I (instant).
max_results	integer	50	Maximum records to return.
include_raw	boolean	false	Attach raw source data.

🧾 JSON sample record

One real record from run 1lfhgcKf1GdxWyACK (emails/phones masked, long text shortened):

{
  "mode": "company",
  "ticker": "AAPL",
  "cik": 320193,
  "company": "Apple Inc.",
  "metric": "Revenues",
  "value": 416161000000,
  "unit": "USD",
  "period_end": "2025-09-27",
  "fiscal_year": 2025,
  "form": "10-K",
  "filed": "2025-10-31",
  "source": "SEC XBRL companyfacts",
  "detected_at": "2026-09-25T03:21:16.766335+00:00"
}

💰 Pricing

Event	Price (USD)	When it is charged
Financial record (financial-record)	$0.03	Charged per financial fundamental record returned.

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.03 = $3.00 plus the start fee.

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📊 What you get

Clean JSON, one record per record. Key fields (full output has 15 fields):

• cik — Filer CIK
• ticker — Ticker symbol
• company — Company / filer name
• filed — Filing date
• form — Filing form type
• fiscal_year — Financial metric / period
• detected_at — Detection / fetch timestamp

Pricing: $0.03 per record (Pay-Per-Event) — about 33 records per $1.

🤖 Use with AI agents

Structured, source-linked SEC data built for LLM and agent pipelines — point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull company financial fundamentals from SEC XBRL on demand.

Sample agent prompt:

Pull revenue, net income and EPS history for a company from SEC XBRL data.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

⏰ Run on a schedule

The recurring frame is the point — schedule a daily or weekly pull:

{
  "tickers": [
    "AAPL",
    "MSFT",
    "NVDA"
  ],
  "max_results": 50
}

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Agent front doors: SEC Corporate Events MCP, Regulatory Filings MCP

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Data parsed from public SEC EDGAR filings. Factual public SEC/EDGAR data — not financial or investment advice. Not affiliated with the U.S. SEC.