Ysaere Entity Classify

x402

Ysaere Entity Classify is a paid API for AI agents from api.ysaere.com, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-13).

Classifies a named entity (company, person, protocol, etc.) into typed labels with confidence scores

Price / call$0.2

Seller volume →—

Success—

StatusUnknown

How this service works

Ysaere entity classify — typed labels (company/person/protocol/…) for $0.20 USDC

Output

Returns a JSON object with a labels array, where each label contains the entity name, its type (e.g. company, person, protocol), and a confidence score between 0 and 1, wrapped in a success boolean.

Example use cases

Enrich CRM contact records

“I have a bunch of names in my CRM like 'Anthropic', 'Vitalik Buterin', and 'Ethereum' — can you classify each one as a company, person, or protocol so I can tag them properly?”

Compliance pipeline entity tagging

“Before we run a KYB check, I need to know what type of entity 'OpenSea' is — classify it for me so we know whether to treat it as a company or a protocol.”

News feed entity labeling

“I'm processing a financial news article and I need to classify the entity 'BlackRock' — is it a company, person, or something else, and what's the confidence level?”

Technical details

Endpoint

POSThttps://api.ysaere.com/v1/intel/classify

When to prefer

Choose this endpoint when you need fast, typed classification of a named entity into categories like company, person, or protocol with a confidence score — especially in pipelines where entity type disambiguation is needed before deeper checks like KYB verification. Prefer this over general-purpose NLP APIs when you need structured label output with confidence, and over the sibling KYB endpoint when you only need entity type, not a full compliance screen.

Side effects

Ambiguous entity name may return low confidence scores or multiple conflicting labels
Unknown or very obscure entities may return no labels or low-confidence results
Malformed or empty input string may result in a 400 error
Payment failure or insufficient USDC balance may result in a 402 error

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "labels": [
        {
          "name": "Stripe",
          "type": "company",
          "confidence": 0.95
        }
      ]
    },
    "success": true
  }
}

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Example use cases

Enrich CRM contact records

“I have a bunch of names in my CRM like 'Anthropic', 'Vitalik Buterin', and 'Ethereum' — can you classify each one as a company, person, or protocol so I can tag them properly?”

Compliance pipeline entity tagging

“Before we run a KYB check, I need to know what type of entity 'OpenSea' is — classify it for me so we know whether to treat it as a company or a protocol.”

News feed entity labeling

“I'm processing a financial news article and I need to classify the entity 'BlackRock' — is it a company, person, or something else, and what's the confidence level?”

Technical details

Endpoint

POSThttps://api.ysaere.com/v1/intel/classify

When to prefer

Side effects

Ambiguous entity name may return low confidence scores or multiple conflicting labels
Unknown or very obscure entities may return no labels or low-confidence results
Malformed or empty input string may result in a 400 error
Payment failure or insufficient USDC balance may result in a 402 error

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "labels": [
        {
          "name": "Stripe",
          "type": "company",
          "confidence": 0.95
        }
      ]
    },
    "success": true
  }
}