Hermes Clean & Normalize – JSON/CSV Data Quality is a paid API for AI agents from hermes-counterparty-api.onrender.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Cleans and normalizes JSON or CSV records by trimming strings, converting blanks to nulls, and deduplicating rows, returning a cleaned dataset with transformation statistics.
Agent utilities for company research, package maintenance intelligence, dependency vulnerability checks, counterparty availability, SEC company snapshots, OFAC sanctions screening, and deterministic JSON/CSV data-quality work. Company domain intelligence includes a free preview before the paid enrichment call.
Returns a JSON object containing the cleaned records array, the cleaned and original record counts, number of duplicate rows removed, counts of specific transformations applied (blanks converted to null, strings trimmed, duplicates removed), a schema fingerprint (SHA-256 hash), and the schema version.
POSThttps://hermes-counterparty-api.onrender.com/v1/clean-normalizeChoose this endpoint when you need deterministic, auditable data-quality transformations (deduplication, string trimming, blank-to-null conversion) on JSON record arrays or raw CSV strings and want a transformation summary report alongside cleaned data. Prefer it over generic ETL tools when you need micropayment-per-call pricing with no subscription, or when working in an agent pipeline that already handles x402 payments.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"records": [
{
"id": 1,
"name": "Alice"
}
],
"schema_version": "1.0",
"transformations": {
"blanks_to_null": 0,
"trimmed_strings": 1,
"duplicates_removed": 1
},
"schema_fingerprint": "sha256:example",
"cleaned_record_count": 1,
"original_record_count": 2,
"removed_duplicate_rows": 1
}
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