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AgentsTools Dedupe – Name & Address Deduplication
x402
AgentsTools Dedupe – Name & Address Deduplication is a paid API for AI agents from api.agentstools.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Deduplicates a list of names or addresses into clusters of likely duplicates, returning a canonical representative per cluster plus summary statistics.
Price / call$0.02
Success—
StatusUnknown
How this service works
Deduplicate a list of names or addresses into clusters of likely duplicates. Blocks by similarity key then confirms pairwise inside each block, returning clusters with a canonical representative plus a summary of input, cluster and duplicate counts. Similarity indicators, not authoritative identity resolution.
Output
Returns clusters of likely-duplicate strings, each with a canonical representative, plus a summary of total input count, number of clusters, and number of duplicates found. Similarity is probabilistic (not authoritative identity resolution).
Example use cases
CRM contact list deduplication
“I have a list of customer names from our CRM that I need cleaned up — ['John Smith', 'Jon Smith', 'J. Smith', 'Jane Doe', 'Jane D.'] — can you cluster the ones that are likely the same person and tell me which is the canonical name for each group?”
Vendor database deduplication
“We imported suppliers from three systems and now have duplicates — can you deduplicate these org names: ['Siemens AG', 'Siemens', 'SIEMENS AG', 'Bosch GmbH', 'Robert Bosch GmbH', 'Bosch'] and group the ones that refer to the same company?”
Mailing address list cleanup
“Before we send out this mailing, can you deduplicate these addresses and flag which ones are likely the same location: ['123 Main St, Springfield IL 62701', '123 Main Street, Springfield, IL 62701', '123 Main St Springfield Illinois', '456 Oak Ave, Chicago IL 60601']?”
Technical details
Endpoint
POSThttps://api.agentstools.dev/match/dedupeWhen to prefer
Choose this endpoint when you have a raw list of names, addresses, or organization strings that may contain near-duplicates and you need fast probabilistic clustering without standing up your own record-linkage pipeline. Ideal for pre-processing CRM imports, mailing lists, vendor databases, or any scenario where string normalization and fuzzy matching across entity types (person, company, address, product, org) is needed in a single API call.
Side effects
- Empty or single-item list returns no clusters
- Highly abbreviated or truncated inputs may fail to match obvious duplicates
- Very large lists may hit payload limits
- min_score set too high causes under-clustering; too low causes over-clustering
- Non-standard characters or mixed scripts may reduce match quality
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| type | string | Entity type selecting the normalization pipeline (default company) |
| items | array | The list of strings to deduplicate |
| min_score | integer | Optional match threshold 0-100 (default is the per-type threshold) |
Tags
x402
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