# goldenmatch

> goldenmatch — benseverndev-oss-goldenmatch. Use this tool when you need to resolve entities across multiple data sources and improve data quality with minimal configuration. Goldenmatch solves data inconsistencies and duplicates, providing accurate entity resolution with high benchmark scores. It takes in disparate data inputs and outputs unified, high-quality data, ideal for use cases requiring reliable data integration and analysis.

Canonical page: https://skillsregistry.net/skills/benseverndev-oss-goldenmatch  
JSON: https://api.skillsregistry.net/v1/skills/benseverndev-oss-goldenmatch

## Description

Zero-config entity resolution feeding a durable identity layer: messy records from any source become stable golden entities, a Customer 360 with provenance, merge/split and audit. Fellegi-Sunter beats hand-tuned Splink. Arrow-native/Rust, 250M rows in 11.2 min. Python + edge TypeScript (WASM), SQL-native in Postgres & DuckDB, 97 MCP tools + REST.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/benseverndev-oss/goldenmatch)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "benseverndev-oss-goldenmatch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benseverndev-oss-goldenmatch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benseverndev-oss-goldenmatch/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt