GoldenMatch

Find duplicate records in 30 seconds. Zero-config entity resolution, 97.2% F1 out of the box.

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

模型生成摘要（rules/v1 · 2026-09-27 16:29）：Find duplicate records in 30 seconds
这是模型对公开材料的总结，不是官方声明，请以原链内容为准。

接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://goldenmatch--benzsevern.run.tools

鉴权方式未标注，请核对官方文档后再接入——不要直接使用以下片段

{
  "mcpServers": {
    "GoldenMatch": {
      "url": "https://goldenmatch--benzsevern.run.tools"
    }
  }
}

能力清单

工具	说明
analyze_data	Profile data, detect domain, recommend ER strategy
auto_configure	Generate optimal matching config from data analysis
agent_deduplicate	Run full ER pipeline with confidence gating and reasoning
agent_match_sources	Match two files with intelligent strategy selection
agent_explain_pair	Natural language explanation for a record pair
agent_explain_cluster	Explain why records are in the same cluster
agent_review_queue	Get borderline pairs awaiting approval
agent_approve_reject	Approve or reject a review queue pair
agent_compare_strategies	Compare ER strategies on your data
suggest_pprl	Check if data needs privacy-preserving matching
get_stats	Get dataset statistics: record count, cluster count, match rate, cluster sizes.
find_duplicates	Find duplicate matches for a record. Provide field values to search against the loaded dataset.
explain_match	Explain why two records match or don't match. Shows per-field score breakdown.
list_clusters	List duplicate clusters found in the dataset. Returns cluster IDs, sizes, and member counts.
get_cluster	Get details of a specific cluster: all member records and their field values.
get_golden_record	Get the merged golden (canonical) record for a cluster.
match_record	Match a single record against the loaded dataset in real-time. Paste a record's fields and instantly see if it matches any existing record. Uses the configured matchkeys, scorers, and thresholds. Example: {"name": "John Smith", "email": "john@test.com", "zip": "10001"}
unmerge_record	Remove a record from its cluster. The record becomes a singleton. Remaining cluster members are re-clustered using stored pair scores. Use this to fix bad merges.
shatter_cluster	Break an entire cluster into individual records. All members become singletons. Use when a cluster is completely wrong.
suggest_config	Analyze bad merges and suggest config changes. Provide examples of incorrect merges (pairs that should NOT have matched) and GoldenMatch will identify which fields/thresholds to tighten. Example: [{"record_a": {...}, "record_b": {...}, "reason": "different people"}]
profile_data	Get data quality profile: column types, null rates, unique counts, sample values.
export_results	Export matching results to a file (CSV or JSON).
list_domains	List available domain extraction rulebooks (built-in + user-defined).
create_domain	Create a custom domain extraction rulebook. Define patterns for a specific data domain (medical devices, automotive parts, real estate, etc.).
test_domain	Test a domain extraction rulebook against sample records. Shows what features would be extracted from the loaded data.
pprl_auto_config	Analyze the loaded dataset and recommend optimal PPRL (privacy-preserving record linkage) configuration. Returns recommended fields, bloom filter parameters, threshold, and explanation.
pprl_link	Run privacy-preserving record linkage between two parties' data. Computes bloom filters, matches records without sharing raw data. Specify fields, threshold, and security level.

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