Foundry CSV Deterministic Deduplication is a paid API for AI agents from foundry-par007-machine-revenue-mainnet.inference-chip-index.workers.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Removes duplicate rows from a CSV string using specified key columns, returning a deduplicated CSV with evidence metadata including removed row numbers and a SHA-256 hash of the input.
Pay-per-request evidence and data tools: CSV validation and reconciliation, DNS/email configuration evidence, and bounded official weather, earthquake, vehicle, company and study records. Exact USDC prices, explicit JSON contracts and source provenance. No mailbox, ownership, medical or safety guarantees.
A JSON object containing: the deduplicated output CSV string, input and output row counts, the number of removed rows and their record numbers, a SHA-256 hash of the original input CSV, the number of distinct duplicate key groups found, a boolean indicating whether evidence was truncated, and a timestamp of when the computation was observed.
POSThttps://foundry-par007-machine-revenue-mainnet.inference-chip-index.workers.dev/v2/data/csv-deterministic-deduplicationChoose this endpoint when you need deterministic, reproducible CSV deduplication with cryptographic provenance (SHA-256 input hash) and explicit evidence of which rows were removed. It is ideal for audit-trail-sensitive data pipelines, agent workflows requiring verifiable data transformations, and pay-per-call scenarios where you want per-request pricing at $0.005 USDC rather than maintaining a data processing service.
| Field | Type | Description |
|---|---|---|
| csv | string | |
| keep | string | |
| keys | array |
{
"type": "json",
"example": {
"route": "csv-deterministic-deduplication",
"result": {
"status": "COMPLETED",
"input_rows": 3,
"output_csv": "id,name\r\n1,Ada updated\r\n2,Lin",
"limitations": [
"Synthetic example hash."
],
"output_rows": 2,
"input_sha256": "0000000000000000000000000000000000000000000000000000000000000000",
"removed_rows": 1,
"evidence_truncated": false,
"duplicate_key_groups": 1,
"removed_record_numbers": [
2
]
},
"observed_at": "2026-09-06T00:00:00Z"
}
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