Strale Adverse Media Check

x402

Strale Adverse Media Check is a paid API for AI agents from api.strale.io, paid per call via x402, $0.216/call, status unknown (last checked 2026-09-15).

Screen a person or company name against adverse media sources to identify negative news, reputational risks, or compliance concerns

Price / call$0.216

Seller volume →—

Success—

StatusUnknown

How this service works

Screens a person or company for adverse news coverage across 235,000+ sources via Dilisense (primary) with Serper Google search fallback. Returns audit-grade evidence: risk level with documented thresholds, FATF-aligned category counts, top article headli…

Output

Returns structured JSON with adverse media findings for the screened entity, including matched news sources, risk indicators, entity type classification, and a cryptographically hashed audit record for compliance traceability.

Example use cases

Vendor onboarding due diligence

“Before we sign a contract with NovaTech Solutions, can you screen them for any adverse media or negative press? They're a German software company and I want to make sure there are no reputational red flags.”

Executive background screening

“I need an adverse media check on John Harrington, a person — he's being considered for a board position and I want to know if his name appears in any negative news coverage or scandal reports.”

KYC compliance check on new client

“We're onboarding a new client called Meridian Trade Group, a company — can you check them against adverse media sources and flag any compliance concerns or negative coverage before we proceed?”

Technical details

Endpoint

GEThttps://api.strale.io/x402/v2/adverse-media-check

When to prefer

Choose this endpoint when you need a fast, auditable adverse media screen on a named person or company — especially in compliance, KYC, AML, or due diligence workflows. It covers 27 countries and returns cryptographic audit trails, making it suitable for regulated environments. Prefer it over generic news search when you need structured risk output with traceability rather than raw article lists.

Side effects

Missing required 'name' query parameter returns a validation error
Ambiguous entity names with no results may return empty findings rather than an error
Rate limiting or payment failures via x402 protocol will prevent the call from completing
Uncommon names or entities outside covered jurisdictions may yield low-confidence or null results
Network timeouts if the underlying data source is slow to respond

Input

Schema · Request body

Field	Type	Description
namerequired	string	Person or company name to screen
country	string	Additional context like industry or country (optional)
entity_name	string	Alias for name (optional)
entity_type	string	Override auto-detection of entity type (optional)

Output

Schema · Response

{
  "query": {
    "type": "string"
  },
  "period": {
    "type": "string"
  },
  "source": {
    "enum": [
      "dilisense",
      "serper"
    ],
    "type": "string"
  },
  "categories": {
    "type": "object"
  },
  "risk_level": {
    "enum": [
      "none",
      "low",
      "medium",
      "high"
    ],
    "type": "string"
  },
  "total_hits": {
    "type": "integer"
  },
  "screened_at": {
    "type": "string"
  },
  "top_articles": {
    "type": "array"
  },
  "lists_queried": {
    "type": "object"
  },
  "fallback_reason": {
    "type": [
      "string",
      "null"
    ]
  },
  "categories_found": {
    "type": "array"
  },
  "severe_categories": {
    "type": "array"
  },
  "risk_level_thresholds": {
    "type": "object"
  }
}

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How this service works

Output

Example use cases

Vendor onboarding due diligence

Executive background screening

KYC compliance check on new client

Technical details

Endpoint

GEThttps://api.strale.io/x402/v2/adverse-media-check

When to prefer

Side effects

Missing required 'name' query parameter returns a validation error
Ambiguous entity names with no results may return empty findings rather than an error
Rate limiting or payment failures via x402 protocol will prevent the call from completing
Uncommon names or entities outside covered jurisdictions may yield low-confidence or null results
Network timeouts if the underlying data source is slow to respond

Input

Schema · Request body

Field	Type	Description
namerequired	string	Person or company name to screen
country	string	Additional context like industry or country (optional)
entity_name	string	Alias for name (optional)
entity_type	string	Override auto-detection of entity type (optional)

Output

Schema · Response

{
  "query": {
    "type": "string"
  },
  "period": {
    "type": "string"
  },
  "source": {
    "enum": [
      "dilisense",
      "serper"
    ],
    "type": "string"
  },
  "categories": {
    "type": "object"
  },
  "risk_level": {
    "enum": [
      "none",
      "low",
      "medium",
      "high"
    ],
    "type": "string"
  },
  "total_hits": {
    "type": "integer"
  },
  "screened_at": {
    "type": "string"
  },
  "top_articles": {
    "type": "array"
  },
  "lists_queried": {
    "type": "object"
  },
  "fallback_reason": {
    "type": [
      "string",
      "null"
    ]
  },
  "categories_found": {
    "type": "array"
  },
  "severe_categories": {
    "type": "array"
  },
  "risk_level_thresholds": {
    "type": "object"
  }
}