# Company Name Fuzzy Matcher

> Company Name Fuzzy Matcher is a paid API for AI agents from api.strale.io, paid per call via x402, $0.0216/call, status unknown (last checked 2026-10-13).

Fuzzy matches and normalizes two company names using Levenshtein, Jaro-Winkler, and token overlap algorithms, accounting for legal suffix variants like Ltd/Limited, Inc/Incorporated, GmbH, AB/Aktiebolag.

## Facts

- Endpoint: GET https://api.strale.io/x402/company-name-match?utm_source=zero.xyz
- Price: $0.0216/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/api-strale-io-01e4878f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_yNv_sdMyz8LcZXn7Kn6SJ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability api-strale-io-01e4878f
```

Example prompt: Can you check if 'Siemens Aktiengesellschaft' and 'Siemens AG' are the same company, accounting for legal suffix differences?

## When to prefer this

Use this endpoint when you need to deduplicate company records, reconcile company names from different data sources, or verify whether two company name variants (with different legal suffixes, abbreviations, or spellings) refer to the same legal entity. Especially useful for international company names with jurisdiction-specific legal forms like GmbH, AB, KVK, or Ltd.

## Known failure modes

- Missing required query parameters name_a or name_b returns a 400 error
- Non-string inputs may cause validation errors
- Very short or single-character names may produce low-confidence or unreliable scores
- Payment failure due to insufficient USDC balance returns 402

## How this service works

Fuzzy match and normalize company names. Compares two names accounting for Ltd/Limited, AB/Aktiebolag, Inc/Incorporated, GmbH, etc. Returns match confidence using Levenshtein, Jaro-Winkler, and token overlap algorithms.

## Output

Returns a match confidence score computed using Levenshtein distance, Jaro-Winkler similarity, and token overlap algorithms, along with normalized forms of both company names, enabling the agent to determine whether two names refer to the same legal entity.

## Example request

```json
{
 "name_a": "Siemens Aktiengesellschaft",
 "name_b": "Siemens AG"
}
```

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "name_a",
      "name_b"
     ],
     "properties": {
      "name_a": {
       "type": "string",
       "description": "First company name"
      },
      "name_b": {
       "type": "string",
       "description": "Second company name to compare"
      }
     }
    }
   },
   "additionalProperties": false
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/api-strale-io-01e4878f/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.strale.io](https://www.zero.xyz/host/api.strale.io/llms.txt)