# Signal Ledger Research API – Financial Report Risk Check

> 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.

## Facts

- Endpoint: POST https://43-135-4-66.sslip.io/v1/filings/risk-check
- Price: $0.25/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/signal-ledger-research-api-financial-report-risk-check-c0c9ce65
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_sFy3O7JBY95Z6Nt2SDhCP

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability signal-ledger-research-api-financial-report-risk-check-c0c9ce65 -d '<json body>'
```

Example prompt: Can you run a risk check on this Tesla 10-Q text I'm pasting — flag any high-severity issues like cash flow trailing earnings or revenue recognition anomalies, and show me the exact quotes from the document that back up each finding?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "company": {
   "type": "string",
   "maxLength": 120,
   "description": "Optional company name"
  },
  "reportText": {
   "type": "string",
   "maxLength": 100000,
   "minLength": 200,
   "description": "Plain-text 10-K, 10-Q, annual report, quarterly report or financial statement supplied by the caller"
  },
  "sourceContext": {
   "type": "object",
   "properties": {
    "sourceUrl": {
     "type": "string",
     "pattern": "^https?://",
     "maxLength": 2048,
     "description": "Original regulator or issuer filing URL"
    },
    "sourceName": {
     "type": "string",
     "maxLength": 160
    },
    "metricBasis": {
     "type": "string",
     "maxLength": 160
    },
    "publishedAt": {
     "type": "string",
     "maxLength": 40,
     "description": "ISO 8601 publication timestamp"
    },
    "retrievedAt": {
     "type": "string",
     "maxLength": 40,
     "description": "ISO 8601 retrieval timestamp"
    },
    "reportPeriod": {
     "type": "string",
     "maxLength": 160
    },
    "crossCheckedSources": {
     "type": "array",
     "items": {
      "type": "string",
      "maxLength": 2048
     },
     "maxItems": 5
    }
   },
   "description": "Optional provenance metadata for report-period, freshness, metric-basis and source traceability checks",
   "additionalProperties": false
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "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."
  ]
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/signal-ledger-research-api-financial-report-risk-check-c0c9ce65/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from 43-135-4-66.sslip.io](https://www.zero.xyz/host/43-135-4-66.sslip.io/llms.txt)