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Strale AML Risk Score
x402
Strale AML Risk Score is a paid API for AI agents from api.strale.io, paid per call via x402, $0.0216/call, status unknown (last checked 2026-09-12).
Returns an AML (Anti-Money Laundering) risk score for a named person or company in a given country, incorporating PEP status, sanctions list matches, and adverse media signals.
Price / call$0.0216
Success—
StatusUnknown
How this service works
Calculate a composite Anti-Money Laundering (AML) risk score for a person or company. Aggregates sanctions screening, PEP status, and jurisdiction risk into a single 0-100 risk score with risk level classification.
Output
Returns a structured AML risk score for the queried entity, incorporating PEP (Politically Exposed Person) status, sanctions list membership, and adverse media signals. Each response includes a cryptographic audit record with chain hashing for compliance and traceability purposes.
Example use cases
Pre-onboarding customer compliance screen
“Before we onboard this new client, can you check the AML risk score for Maria Santos, a person from Brazil — I need to know if she's a PEP, on any sanctions lists, or has adverse media?”
Due diligence on a business partner
“We're about to sign a deal with a company called Goldbridge Trading in the UAE — can you run an AML risk assessment on them as a company and flag any sanctions or adverse media concerns?”
Automated KYC pipeline risk flag
“Screen this individual for financial crime risk: name is Chen Wei, country China, entity type person — check for PEP status, sanctions matches, and adverse media and give me a risk score with an audit trail.”
Technical details
Endpoint
GEThttps://api.strale.io/x402/v2/aml-risk-scoreWhen to prefer
Choose this endpoint when you need a structured, auditable AML/KYC risk signal for a named person or company in a specific country, especially when compliance traceability is required. It is particularly useful for financial onboarding, due diligence pipelines, or regulatory workflows where a cryptographic audit trail per call is mandatory. Prefer this over generic web search or unstructured news lookup when you need a scored, machine-readable compliance output with provenance. Best suited for single-entity screening rather than batch background check workflows.
Side effects
- Missing required entity_name or country_code results in a 400 validation error
- Invalid ISO 2-letter country code returns an error or no results
- Ambiguous or common names may produce low-confidence matches
- Entity not found in any monitored database returns a null or zero-risk score that may be inconclusive
- Rate limits or payment failures via x402 protocol may block the request
- Sparse data for certain countries may result in incomplete risk signals
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| pep_match | boolean | Whether entity is a Politically Exposed Person |
| entity_namerequired | string | Name of person or company |
| entity_type | string | Type of entity: person or company (default: person) |
| country_coderequired | string | ISO 2-letter country code |
| sanctions_match | boolean | Whether entity appears on sanctions lists |
| adverse_media_match | boolean | Whether adverse media was found |
Output
Schema · Response
{
"risk_level": {
"type": "string"
},
"risk_score": {
"type": "integer"
},
"entity_name": {
"type": "string"
},
"risk_factors": {
"type": "array"
},
"recommendation": {
"type": "string"
},
"jurisdiction_risk": {
"type": "string"
}
}Tags
x402
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