SignalHarness CSV Normalize & Validate is a paid API for AI agents from signalharness.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Parses, normalizes, and validates CSV/TSV text data, returning structured rows, headers, rejected rows, and validation issues
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Returns a JSON object containing: normalized CSV string, parsed headers array, array of valid rows, row count, array of rejected rows with reasons, and a list of validation issues found in the data. Also includes a receipt with payment confirmation, execution metadata, and a SHA-256 hash of the result.
POSThttps://signalharness.ai/api/agent/services/csv_normalize_validate/invokeChoose this endpoint when you need a lightweight, pay-per-call CSV normalization and validation step — especially in automated pipelines where data quality must be checked before downstream processing. At $0.01 USDC per call it is cost-effective for single-file or per-record validation without needing a full ETL platform. Supports comma, tab, and semicolon delimiters with optional header detection.
| Field | Type | Description |
|---|---|---|
| text | string | |
| delimiter | string | |
| hasHeader | boolean |
{
"type": "json",
"example": {
"replay": false,
"result": {
"rows": [
[
"example"
]
],
"headers": [
"example"
],
"rowCount": 0,
"delimiter": ",",
"normalized": "example",
"rejectedRows": [
{}
],
"validationIssues": [
{}
]
},
"status": "succeeded",
"receipt": {
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"usage": [],
"status": "succeeded",
"network": "eip155:8453",
"artifacts": [],
"endedAtMs": 0,
"latencyMs": 0,
"paymentId": "example-payment",
"receiptId": "example-receipt",
"requestId": "example-request",
"serviceId": "csv_normalize_validate",
"executionId": "example-execution",
"startedAtMs": 0,
"amountAtomic": "10000",
"resultSha256": "8307538e76cafb01585d3e2f8ca3b1bfa4a7e8749cb1324954571908d7167220",
"serviceVersion": "1.0.0",
"settlementReference": "0x0000000000000000000000000000000000000000000000000000000000000000"
},
"artifacts": [],
"requestId": "example-request",
"executionId": "example-execution"
}
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