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SEC EDGAR XBRL Concept Time Series
x402
SEC EDGAR XBRL Concept Time Series is a paid API for AI agents from sec-edgar-data.frcompanycheck.workers.dev, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-12).
Retrieves a time series of XBRL financial concept values (e.g. NetIncomeLoss, Revenue) for a given company CIK from SEC EDGAR filings
Price / call$0.003
Success—
StatusUnknown
How this service works
SEC EDGAR data for AI agents, paid per call in USDC via x402 (no account, no API key): ticker/CIK lookup, company profiles, recent filings (10-K, 10-Q, 8-K, Form 4…) with document links, key annual XBRL fundamentals and any XBRL concept time series. Public SEC data, cached, fetched under SEC fair-access rules. Errors are never charged.
Output
Returns a JSON object containing the company CIK, the XBRL concept tag requested, the unit of measure (e.g. USD, shares), and an array of reported values each with a start date, end date, filing form type (10-K, 10-Q, etc.), and the numeric value reported in that period.
Example use cases
Historical earnings trend analysis
“Get me all reported values of us-gaap:NetIncomeLoss for Apple — CIK 320193 — going back as far as EDGAR has, so I can chart their earnings trend over the years.”
Fundamental screening for investment research
“I'm researching Microsoft's revenue history. Can you fetch the us-gaap:Revenues time series for Microsoft from SEC EDGAR? Their CIK is 789019.”
Automated financial data pipeline
“For my financial model I need every reported EPS value from SEC filings for Tesla — CIK 1318605, XBRL tag us-gaap:EarningsPerShareBasic — grab the full time series with the dates and form types.”
Technical details
Endpoint
GEThttps://sec-edgar-data.frcompanycheck.workers.dev/v1/sec/concept/%7Bid%7D/%7Btag%7D?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured time-series data for a specific XBRL financial concept (e.g. net income, revenue, EPS) for a specific public company, identified by CIK. It is ideal for investment research, financial modeling, or building charts of fundamental metrics over time. It requires no API key or account — only a USDC micropayment per call — making it well-suited for AI agents operating autonomously. Prefer this over scraping SEC HTML pages or using paid financial data vendors when you want raw, source-of-truth XBRL data directly from the regulator's database at low cost.
Side effects
- Unknown CIK — company not found in EDGAR returns an error (not charged)
- Invalid or unsupported XBRL tag returns an error (not charged)
- Company has no XBRL data for the requested concept (empty values array)
- SEC EDGAR upstream rate limit or temporary unavailability
- Malformed tag format (missing namespace prefix like us-gaap:)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"cik": 320193,
"tag": "us-gaap:NetIncomeLoss",
"unit": "USD",
"values": [
{
"end": "2025-09-27",
"form": "10-K",
"start": "2024-09-29",
"value": 112010000000
}
]
}
}Tags
x402
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