EDGAR Financial Data Search

x402

EDGAR Financial Data Search is a paid API for AI agents from api.firstmention.uk, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Searches SEC EDGAR for XBRL financial data (revenue, net income, EPS, etc.) for any public company by ticker, name, or CIK

Price / call$0.01

Seller volume →—

Success—

StatusUnknown

How this service works

Pay-per-call HTTP APIs, paid with x402 in USDC on Base (eip155:8453): agentkit, api-change-check, basedue, basewatch, chainread, check-sanctions, chgwatch, company-facts, composite, edgar, feednews, pageaudit, solcheck, token-dd, txpreflight, walletcheck, webmd, webread, websearch, x402index. Each operation describes its service.

Output

Returns a JSON object containing the matched company (CIK, name, ticker), the XBRL taxonomy tag used, the unit of measure (e.g. USD), total count of filings found, the latest reported value with fiscal year and form type (10-K or 10-Q), and an array of historical values each with period, fiscal year, end date, form, and dollar value.

Example use cases

Revenue trend for equity research

“Get me Apple's annual revenue figures from SEC EDGAR going back as far as possible — use ticker AAPL, the revenue tag, annual period, and return up to 10 results so I can see the multi-year trend.”

Quarterly EPS lookup for earnings analysis

“What has NVIDIA's earnings per share been each quarter for the past year? Search EDGAR using ticker NVDA, the eps tag, quarterly period, limit 4 results.”

Balance sheet assets for competitor comparison

“Look up total assets for Microsoft and Amazon from their SEC filings — search by ticker, use the assets XBRL tag, annual period, and give me the latest 3 annual values for each.”

Technical details

Endpoint

POSThttps://api.firstmention.uk/s/edgar/search?utm_source=zero.xyz

When to prefer

Use this endpoint when you need authoritative, SEC-sourced financial data for any U.S. public company — especially XBRL-tagged fundamentals like revenue, net income, assets, or EPS. Prefer it over web scraping or third-party financial data aggregators when regulatory accuracy and direct EDGAR provenance matter. It is ideal for AI agents doing equity research, financial modeling, or compliance checks that require structured, machine-readable fundamental data keyed by standard us-gaap taxonomy tags.

Side effects

Unknown ticker/company name returns no match or empty results
Invalid or unsupported XBRL tag returns an error or empty values array
CIK not found in EDGAR database returns a 404-style error
Limit out of range (outside 1-100) may return a validation error
Company has not filed the requested tag in XBRL format returns empty values
Network or payment (x402 USDC) failure prevents the call from completing

Input

Schema · Request body

Field	Type	Description
q	string	Ticker, company name or CIK, e.g. AAPL, nvidia, 320193
tag	string	XBRL tag or alias: revenue, net_income, assets, cash, eps, or any us-gaap tag
limit	integer	Max results (1-100)
period	string	all, annual or quarterly

Output

Schema · Response

{
  "type": "json",
  "example": {
    "cik": 320193,
    "tag": "Revenues",
    "name": "Apple Inc.",
    "unit": "USD",
    "count": 6,
    "latest": {
      "fy": 2025,
      "end": "2025-09-27",
      "form": "10-K",
      "value": 416161000000
    },
    "period": "annual",
    "values": [
      {
        "fp": "FY",
        "fy": 2025,
        "end": "2025-09-27",
        "form": "10-K",
        "value": 416161000000
      }
    ],
    "matched": {
      "cik": 320193,
      "name": "Apple Inc.",
      "ticker": "AAPL"
    },
    "taxonomy": "us-gaap"
  }
}

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