AveDaris Entity Normalize

x402

AveDaris Entity Normalize is a paid API for AI agents from api.avedaris.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-15).

Normalizes an entity or organization name into canonical tokens and a canonical form

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

AveDaris is the economic coordination layer for autonomous software: discover, route, evaluate, procure, verify, and learn across agent services.

Output

Returns a JSON object with a 'result' field containing 'tokens' (an array of normalized name tokens, e.g. ['acme']) and 'canonical' (a single canonical string form of the entity name, e.g. 'acme').

Example use cases

Deduplicating vendor records

“I have a bunch of vendor names like 'Apple Inc.', 'Apple, Inc', and 'Apple Incorporated' — can you normalize each one so I can figure out which ones are the same company?”

Standardizing CRM organization entries

“Our CRM has organization names in all different formats — can you take 'International Business Machines Corp.' and give me its canonical name and tokens so we can standardize our records?”

Entity matching in agent pipeline

“Before I try to look up this company in our knowledge base, can you normalize the name 'General Electric Co.' into canonical tokens so the lookup doesn't fail on formatting differences?”

Technical details

Endpoint

POSThttps://api.avedaris.com/v1/paid/entity-normalize

When to prefer

Choose this endpoint when you need to normalize or canonicalize entity or organization names for deduplication, matching, or standardization purposes — especially in data pipelines where variant name spellings must be resolved to a single canonical form. Prefer this over generic NLP tokenizers when you specifically need entity-aware normalization with both tokens and a canonical string output.

Side effects

Missing or empty 'name' field returns an error or empty result
Highly ambiguous or non-standard names may produce unexpected tokenization
Very long or complex multi-part names may be truncated or partially normalized
Non-Latin scripts or special characters may not normalize predictably

Input

Schema · Request body

Field	Type	Description
name	string	Entity or organization name.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": {
      "tokens": [
        "acme"
      ],
      "canonical": "acme"
    }
  }
}

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How this service works

AveDaris is the economic coordination layer for autonomous software: discover, route, evaluate, procure, verify, and learn across agent services.

Output

Returns a JSON object with a 'result' field containing 'tokens' (an array of normalized name tokens, e.g. ['acme']) and 'canonical' (a single canonical string form of the entity name, e.g. 'acme').

Example use cases

Deduplicating vendor records

“I have a bunch of vendor names like 'Apple Inc.', 'Apple, Inc', and 'Apple Incorporated' — can you normalize each one so I can figure out which ones are the same company?”

Standardizing CRM organization entries

“Our CRM has organization names in all different formats — can you take 'International Business Machines Corp.' and give me its canonical name and tokens so we can standardize our records?”

Entity matching in agent pipeline

“Before I try to look up this company in our knowledge base, can you normalize the name 'General Electric Co.' into canonical tokens so the lookup doesn't fail on formatting differences?”

Technical details

Endpoint

POSThttps://api.avedaris.com/v1/paid/entity-normalize

When to prefer

Side effects

Missing or empty 'name' field returns an error or empty result
Highly ambiguous or non-standard names may produce unexpected tokenization
Very long or complex multi-part names may be truncated or partially normalized
Non-Latin scripts or special characters may not normalize predictably

Input

Schema · Request body

Field	Type	Description
name	string	Entity or organization name.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": {
      "tokens": [
        "acme"
      ],
      "canonical": "acme"
    }
  }
}