US Company Verify

Look up any US company using SEC EDGAR data, screen against international sanctions lists, check for politically exposed persons (PEP), and scan for adverse media coverage. Filing data, company status, sanctions, PEP, and media check.

4 steps x402 eligible verify-us-company

What it runs

US Company Data
Source: SEC EDGAR (US Securities and Exchange Commission)
Sanctions Check
Source: Dilisense consolidated (OFAC SDN, EU FSF, UN SC, UK Sanctions List, CH SECO, BIS, World Bank, EBRD, ADB + 125 national sanctions/debarment lists; full attribution at https://dilisense.com/en/sources/sanction-sources)
PEP Check
Source: Dilisense consolidated PEP database (230+ territories, EU C/2023/724-aligned, RCAs included; full attribution at https://dilisense.com/en/sources/politically-exposed-persons-list)
Adverse Media Check
Source: Dilisense Adverse Media (235k+ news sources, FATF-categorized) primary; Serper.dev (Google search) fallback

The answer returns every step’s result, so your agent can show or check each one.

Inputs

Field	Type	Required	What it is
`company`	string	Yes	CIK number, ticker symbol, or company name

How to call it

# Needs an API key. The whole check is charged once, at the listed price.
curl -X POST https://api.strale.io/v1/solutions/verify-us-company/execute \
  -H "Authorization: Bearer $STRALE_API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
    "inputs": {
      "company": "AAPL"
    },
    "max_price_cents": 130
  }'

# No account. The first request answers 402 with the price in USDC;
# an x402 client pays it from your wallet and repeats the request.
curl -i -X POST https://api.strale.io/x402/v2/solutions/verify-us-company \
  -H 'Content-Type: application/json' \
  -d '{
    "company": "AAPL"
  }'

The bundle’s published example input.

Limitations

Coverage varies by state — Delaware, California, New York most complete. Some states have limited electronic registry access
From step: US Company Data
What to do instead: For states with limited coverage, supplement with the state's Secretary of State website directly
Name and ticker searches find SEC filings mentioning the query, which can belong to another company, particularly for private companies without filings. Low-confidence matches return an error by default; accepted matches report exact or high `match_confidence`.
From step: US Company Data
What to do instead: Supply the CIK directly for an exact, unambiguous lookup. To receive the best-effort match for an unresolved name anyway, pass allow_low_confidence=true and gate on the returned is_exact_match / match_confidence fields yourself.
Does not include privately held financial data — only publicly filed information
From step: US Company Data
What to do instead: Request privately held financial information directly from the company.
Secretary of State filings may lag 1-5 business days behind actual filing date
From step: US Company Data
What to do instead: For time-critical checks, compare the filing_date in the response against SEC EDGAR for publicly traded companies
Sanctions lists updated daily from OFAC, EU, and UN sources — newly sanctioned entities may take up to 24 hours to appear
From step: Sanctions Check
What to do instead: For same-day compliance, subscribe to OFAC's RSS feed and cross-reference against today's additions
Name matching uses fuzzy logic — common names may produce false positives. Always verify flagged results
From step: Sanctions Check
What to do instead: Filter results by match confidence score and verify flagged entities against the primary sanctions list PDF
Coverage depends on OpenSanctions dataset — may not include all national PEP lists
From step: PEP Check
Name matching is fuzzy — common names may produce false positives. Birth date strongly recommended for disambiguation.
From step: PEP Check
What to do instead: Provide birth_date parameter for disambiguation
PEP coverage varies by country — major economies and EU members have strong coverage, smaller nations may have gaps
From step: PEP Check
What to do instead: For countries with limited coverage, supplement with local registry checks or use the LLM fallback as a secondary signal
Name matching uses fuzzy logic — common names may produce false positives. Birth date strongly recommended for disambiguation
From step: PEP Check
What to do instead: Always provide birth_date when available to reduce false positives. Verify flagged results against official government records
PEP lists updated multiple times per day — recently appointed officials may take up to 48 hours to appear
From step: PEP Check
What to do instead: For time-sensitive checks on recently appointed officials, cross-reference with news sources
AI-classified results — may miss subtle risk signals or produce false positives
From step: Adverse Media Check
Limited to publicly indexed web content — paywalled news sources not covered
From step: Adverse Media Check
English-language bias — non-English media coverage may be underrepresented
From step: Adverse Media Check
Recency depends on search index freshness (typically 24-48h delay)
From step: Adverse Media Check
AI-categorized results — may produce false positives for common names or names that appear in unrelated news contexts
From step: Adverse Media Check
What to do instead: Review top articles manually to confirm relevance. Use entity_type parameter to improve precision
Screens 235,000+ sources but paywalled content may not be fully indexed. Non-English language coverage varies by region
From step: Adverse Media Check
What to do instead: For high-stakes screening, supplement with manual searches in local-language news sources
Articles typically appear in near real-time but some sources may have a 24-48 hour indexing delay
From step: Adverse Media Check
What to do instead: For breaking news events, supplement with direct web search