# Signal Ledger Financial Filing Risk Check > Signal Ledger Financial Filing 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). Performs evidence-linked risk analysis on a public company's SEC filing (10-K, 10-Q, or 8-K) by stock ticker symbol, returning ranked risk flags with source-verified quotes and key financial metrics. ## Facts - Endpoint: GET https://43-135-4-66.sslip.io/v1/filings/risk-check-by-symbol/%7Bsymbol%7D - Price: $0.25/call - Payment: x402 - Status: unknown - Last checked: 2026-09-15 - Activations on Zero: 0 - Tags: x402 - Canonical page: https://www.zero.xyz/c/signal-ledger-financial-filing-risk-check-1a3d704d - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QC3kRjw2G7Hcw1JgwKnJD Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently. ## How to call it through Zero Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`): ```sh zero fetch --capability signal-ledger-financial-filing-risk-check-1a3d704d ``` Example prompt: Can you run a financial filing risk check on Apple (AAPL) using their latest 10-K and tell me what the biggest red flags are, with evidence from the actual SEC document? ## When to prefer this Use this endpoint when you need traceable, evidence-backed financial risk analysis on a specific public company's SEC filing — especially when citation integrity matters (e.g. each risk flag points to a verified quote with character offsets and document hash). Prefer this over generic financial data APIs when the goal is qualitative risk assessment with audit-trail-quality sourcing rather than raw numerical data retrieval. ## Known failure modes - Invalid or unrecognized ticker symbol returns an error — symbol must match pattern ^[A-Za-z][A-Za-z0-9.-]{0,14}$ - SEC filing not yet available for requested period returns stale or missing data status - Unsupported report_type value outside 10-K, 10-Q, 8-K causes validation failure - Payment not completed (x402 protocol) results in 402 Payment Required response - Company has no XBRL-tagged filings in SEC EDGAR, leading to incomplete key_metrics ## How this service works Agent-searchable, evidence-linked financial-report risk checks and historical author scorecards. 面向 AI Agent 的可追溯财报风险体检与作者历史成绩查询。Research support only; not investment advice. ## Output A JSON object containing: overall risk score (0-100), risk level (e.g. medium), severity and confidence ratings, a ranked list of specific risk flags each with a category, severity, and evidence reference, key financial metrics (e.g. revenue in USD), source SEC filing metadata (accession number, report type, period, URL), verbatim evidence quotes verified against the source document with character-level location pointers and SHA-256 document hash, data freshness status, and recommended follow-up actions. ## Request schema (JSON Schema) ```json { "type": "object", "$schema": "https://json-schema.org/draft/2020-12/schema", "required": [ "input" ], "properties": { "input": { "type": "object", "required": [ "type", "method" ], "properties": { "type": { "type": "string", "const": "http" }, "method": { "enum": [ "GET" ], "type": "string" }, "pathParams": { "type": "object", "required": [ "symbol" ], "properties": { "symbol": { "type": "string", "pattern": "^[A-Za-z][A-Za-z0-9.-]{0,14}$" } } }, "queryParams": { "type": "object", "properties": { "period": { "type": "string", "default": "latest" }, "report_type": { "enum": [ "10-K", "10-Q", "8-K" ], "type": "string", "default": "10-K" } } } }, "additionalProperties": false }, "output": { "type": "object", "required": [ "type" ], "properties": { "type": { "type": "string" }, "example": { "type": "object" } } } } } ``` ## 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" } ], "filing": { "symbol": "AAPL", "accession": "0000320193-25-000079", "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "report_type": "10-K", "report_period": "2025-09-27" }, "severity": "high", "confidence": "high", "risk_level": "medium", "risk_score": 40, "source_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm", "key_metrics": [ { "unit": "USD", "value": 391000000000, "metric": "revenue", "concept": "RevenueFromContractWithCustomerExcludingAssessedTax", "source_url": "https://data.sec.gov/api/xbrl/companyfacts/CIK0000320193.json" } ], "report_period": "2025-09-27", "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": { "type": "sec_filing_extracted_text", "character_end": 18711, "character_start": 18642 }, "missing_information": [], "evidence_verification": "verified_filing_text", "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-financial-filing-risk-check-1a3d704d/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)