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Signal Ledger Research API – Financial Report Risk Check
x402
Signal Ledger Research API – Financial Report Risk Check is a paid API for AI agents from 43-135-4-66.sslip.io, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-15).
Analyzes plain-text financial filings (10-K, 10-Q, annual/quarterly reports) for risk indicators and returns evidence-linked, severity-scored risk findings with exact source citations.
Price / call$0.25
Success—
StatusUnknown
How this service works
Financial statement risk analysis / 财报风险体检. Analyze supplied SEC filing or financial-report text for accounting red flags, earnings quality, cash-flow anomalies, debt/liquidity, governance and data-quality issues. Returns structured risk scores, exact evidence quotes, filing period, freshness, missing information, follow-up actions and traceable source URLs.
Output
Returns a JSON object with a list of ranked risk items (each with severity, risk category, evidence quote, and character-level source location), an overall risk score (0–100), confidence level, risk level classification, data freshness status, document SHA-256 hash for tamper detection, and recommended follow-up actions. Each evidence item is verified against the submitted document text.
Example use cases
Hedge fund pre-investment filing review
“I'm evaluating an investment in Acme Corp — here's the full text of their latest 10-K. Run a risk check and tell me the overall risk score, flag anything high-severity, and give me the exact evidence quotes from the document so I can verify each finding.”
Analyst automation for quarterly earnings
“We just pulled Rivian's Q3 10-Q from SEC EDGAR at https://www.sec.gov/Archives/edgar/data/1788841/example.htm — analyze the filing text for cash flow, debt, and revenue recognition risks, and tell me how fresh the data is and whether any information is missing.”
Portfolio risk monitoring across multiple reports
“Here's the plain-text annual report for GlobalTech for FY2024 — do a full evidence-linked risk check, rank each risk item by severity, and give me recommended follow-up questions I should ask management based on what you find.”
Technical details
Endpoint
POSThttps://43-135-4-66.sslip.io/v1/filings/risk-checkWhen to prefer
Choose this endpoint when you need evidence-grounded, citation-exact risk analysis of a specific financial filing text — particularly when auditability and source traceability matter (e.g. each risk finding maps back to a character range and quote in the original document). Prefer this over general-purpose LLM financial analysis when you need a structured risk score, severity ranking, and SHA-256 document provenance. Best suited for 10-K, 10-Q, and annual/quarterly report analysis rather than real-time market data or stock screening.
Side effects
- Report text too short (under 200 characters) returns validation error
- Report text exceeds 100,000 character limit — caller must truncate or chunk the filing
- Invalid or missing reportText field returns 400 error
- Source URL in sourceContext does not match actual document content — may reduce confidence score
- Stale filing detected — data_freshness.status will reflect 'stale' with age_days populated
- Ambiguous or low-quality text (e.g. scanned PDFs with OCR errors) may reduce confidence to 'low'
- Payment of $0.25 USDC not completed or rejected — returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| company | string | Optional company name |
| reportText | string | Plain-text 10-K, 10-Q, annual report, quarterly report or financial statement supplied by the caller |
| sourceContext | object | Optional provenance metadata for report-period, freshness, metric-basis and source traceability checks |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"risks": [
{
"item": "Cash flow trails earnings",
"rank": 1,
"severity": "high",
"evidence_ref": "evidence_001",
"risk_category": "cash_flow"
}
],
"severity": "high",
"confidence": "high",
"risk_level": "medium",
"risk_score": 40,
"source_url": "https://www.sec.gov/Archives/edgar/data/000000/example.htm",
"report_period": "FY2025",
"risk_category": "cash_flow",
"data_freshness": {
"status": "fresh",
"age_days": 2
},
"evidence_quote": "Operating cash flow declined 28% while net income increased 9%.",
"evidence_trace": [
{
"source_url": "https://www.sec.gov/Archives/edgar/data/000000/example.htm",
"evidence_id": "evidence_001",
"evidence_quote": "Operating cash flow declined 28% while net income increased 9%.",
"document_sha256": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"source_location": {
"match_basis": "exact",
"character_end": 18711,
"character_start": 18642
},
"evidence_verification": "verified_in_input_document"
}
],
"schema_version": "2026-09-10",
"document_sha256": "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa",
"source_location": {
"match_basis": "exact",
"character_end": 18711,
"character_start": 18642
},
"missing_information": [],
"evidence_verification": "verified_in_input_document",
"recommended_follow_up": [
"Review the cash-flow statement and working-capital footnotes."
]
}
}Tags
x402
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