# Trixie Lasagne Entity Matching

> Trixie Lasagne Entity Matching is a paid API for AI agents from trixielasagne-api.purplewater-b02e2643.eastus.azurecontainerapps.io, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-16).

Deterministically matches entities across two or more datasets using configurable field-level scoring to identify which records refer to the same real-world object

## Facts

- Endpoint: POST https://trixielasagne-api.purplewater-b02e2643.eastus.azurecontainerapps.io/entity/match
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/trixie-lasagne-entity-matching-ce21db37
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xLZ4HJnjVqfsQphRNPCng

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 trixie-lasagne-entity-matching-ce21db37 -d '<json body>'
```

Example prompt: I have two customer lists — one from our CRM and one from our billing system — can you match them up and tell me which records refer to the same person, using name and email as the primary matching fields?

## When to prefer this

Choose this endpoint when you need deterministic, reproducible cross-dataset entity matching with explicit control over which fields contribute to the match score. Prefer it over probabilistic or ML-based record linkage when auditability and consistency matter, or when you need configurable field-level scoring weights rather than black-box similarity. It complements the sibling within-dataset duplicate detection endpoint, which handles intra-dataset deduplication.

## Known failure modes

- Missing or malformed required 'input' body causes 400 validation error
- Incompatible field names between datasets result in zero-score matches or empty results
- Misconfigured field weights (e.g. all zero) may produce degenerate scoring
- Very large datasets may hit timeout or memory limits on the container
- Non-JSON body when bodyType is set to 'json' returns parse error
- No overlapping entities results in empty match list with no error signal

## How this service works

Deterministic cross-dataset entity matching with configurable field-level scoring

## Output

Returns matched entity pairs across the two input datasets, each pair annotated with a deterministic match score based on the configured field-level weights. The response includes matched record identifiers, per-field similarity contributions, and an overall confidence or match score indicating how strongly the two records are believed to refer to the same real-world entity.

## 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",
    "bodyType",
    "body"
   ],
   "properties": {
    "body": {
     "properties": {}
    },
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "POST",
      "PUT",
      "PATCH"
     ],
     "type": "string"
    },
    "bodyType": {
     "enum": [
      "json",
      "form-data",
      "text"
     ],
     "type": "string"
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/trixie-lasagne-entity-matching-ce21db37/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from trixielasagne-api.purplewater-b02e2643.eastus.azurecontainerapps.io](https://www.zero.xyz/host/trixielasagne-api.purplewater-b02e2643.eastus.azurecontainerapps.io/llms.txt)