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Interzoid Batch Match API
x402
Interzoid Batch Match API is a paid API for AI agents from match.interzoid.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Deduplicates and clusters records in a CSV/TSV file by appending a similarity key (SimKey) to each row, grouping near-duplicate company names, full names, or addresses.
Price / call$0.01
Success—
StatusUnknown
How this service works
AI-powered batch data matching and deduplication over CSV/TSV files. Pay per record with USDC via the x402 protocol, or use an Interzoid API key.
Output
A streamed CSV (or TSV) where every input row has a SimKey appended as the last column; rows that share a SimKey are near-duplicates, and clusters are separated by blank lines. Output is plain text, not JSON.
Example use cases
Deduplicate customer contact list
“I've got a TSV file of customer full names at https://storage.example.com/contacts.tsv — can you run a name match on column 2 and group all the near-duplicate entries so I can see which records are referring to the same person?”
Cluster duplicate business addresses
“I have a CSV file of vendor addresses at https://drive.example.com/vendors.csv — can you do an address match on column 3 to find and cluster all the near-duplicate or slightly misformatted addresses that are likely the same location?”
Consolidate messy CRM company records
“Our CRM export is at https://crm.example.com/exports/accounts.csv and it's full of slightly different spellings of the same company names — can you run a company match on column 1 and group all the near-duplicates so we know which rows belong to the same business?”
Technical details
Endpoint
GEThttps://match.interzoid.com/match?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a large CSV or TSV file that needs batch fuzzy deduplication of company names, full names, or addresses — especially when you want records grouped by similarity key rather than a simple exact-match dedupe. It is purpose-built for entity resolution at scale and supports multiple matching strategies (company, name, address, or combinations) in a single call. Prefer it over single-record match APIs when processing entire datasets at once.
Side effects
- Missing required query params (connection, filetype, function, company_column) returns a 400 error
- Inaccessible or non-public file URL results in a fetch error
- Invalid filetype or function enum value causes a parameter validation error
- Payment not provided or insufficient USDC via x402 protocol returns a 402 Payment Required
- Column index out of range for the given file causes a processing error
- Malformed CSV/TSV (inconsistent columns, encoding issues) may produce incomplete or garbled output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"format": "csv",
"sample_row": "Gen Electric Corp,eF5gHi8jKl2mNo4p",
"description": "Streamed CSV or TSV of matched records grouped by similarity key. Each row is an input record with the SimKey appended as the last column; clusters are separated by a blank line. Output is text, not JSON."
}
}Tags
x402
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