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Signal Ledger Research API – Financial Report Risk Scan
x402
Signal Ledger Research API – Financial Report Risk Scan is a paid API for AI agents from 43-135-4-66.sslip.io, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Analyzes the text of a financial filing (10-K, 10-Q, annual/quarterly report) and returns evidence-linked risk findings with severity scores, quoted evidence, and source traceability.
Price / call$0.05
Success—
StatusUnknown
How this service works
Financial statement quick risk scan / 财报快速风险扫描. Find up to five highest-priority accounting red flags, earnings-quality issues, cash-flow anomalies, debt/liquidity and governance risks in supplied 10-K, 10-Q or report text. Returns structured scores, evidence quotes and source links.
Output
A JSON object containing: a list of ranked risk items each with severity, risk category, and a linked evidence quote pinpointed to exact character positions in the source document; an overall risk score (0–100), severity label, and confidence level; data freshness status with age in days; document SHA-256 for integrity verification; recommended follow-up actions; and a list of any missing information that limited the analysis.
Example use cases
Pre-investment due diligence on 10-K
“I'm evaluating a potential investment in Acme Corp — can you scan this 10-K text I pulled from the SEC and flag any high-severity risk signals, especially around cash flow versus reported earnings? Show me the exact evidence quotes and where in the document they appear.”
Quarterly earnings quality check
“I just pulled Rivian's latest 10-Q text from their investor relations page. Can you analyze it for risk signals and tell me the overall risk score, severity level, and any recommended follow-up questions I should be asking management?”
Automated filing monitor for research desk
“Here's the plain text of a financial statement from a Chinese ADR company, published 2025-05-15, covering Q1 FY2026. Run it through a risk scan and give me the risk category breakdown with evidence references so I can attach them to my research note.”
Technical details
Endpoint
POSThttps://43-135-4-66.sslip.io/v1/filings/risk-scanWhen to prefer
Choose this endpoint when you need structured, evidence-linked risk analysis of a full financial filing text (10-K, 10-Q, annual or quarterly reports) with character-level provenance, severity scoring, and auditable evidence quotes. Prefer it over generic LLM summarization when you need reproducible, traceable outputs tied to specific document passages and a normalized risk score suitable for downstream comparison or reporting.
Side effects
- Report text shorter than 200 characters returns a validation error
- Report text exceeding 100,000 characters is rejected
- Malformed or missing reportText field returns a 400 error
- Low-quality or non-financial text may produce low-confidence results
- Source URL that does not resolve may flag a data-freshness warning
- Stale filings may trigger a 'stale' data_freshness status
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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