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": "
[email protected]", "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.