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NOVA Data Transform
x402
NOVA Data Transform is a paid API for AI agents from nova-demand-worker.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-11).
Transforms rows of structured data using AI-assisted or deterministic rules, producing enriched output fields such as sentiment, classification, or custom annotations.
Price / call$0.1
Success—
StatusUnknown
How this service works
Machine-facing pay-per-call utility services using x402 on Base with USDC.
Output
Returns a JSON object with a mode indicator (e.g. 'ai-assisted'), an array of transformed rows each containing the original index and all requested output fields, a stats block with input/output row counts and duplicate row counts, and a review array listing rows flagged for human review with reasons.
Example use cases
Sentiment tagging for support tickets
“I have a list of 80 customer support messages as JSON objects — can you run AI-assisted transformation on them to add a 'sentiment' field and a 'needsReview' flag, and tell me which ones need a human to look at?”
Custom field extraction from product reviews
“Here are 40 product review records. Use AI to extract two new fields for each: 'topComplaint' and 'featureRequest', based on the review text. Return the enriched rows with stats.”
Duplicate detection in survey responses
“I've got 100 survey response rows and I suspect there are duplicates. Can you run transformation with duplicate detection on the 'responseText' field, and also add an 'intent' classification to each row?”
Technical details
Endpoint
POSThttps://nova-demand-worker.vercel.app/x402/data-transform?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need AI-assisted batch transformation, enrichment, or classification of structured data rows — especially when the transformation logic can be expressed as natural language instructions and you want computed output fields like sentiment, flags, or custom annotations. It is well-suited for pipelines that need both AI enrichment and deterministic duplicate detection in a single call, paid per-use via x402/USDC on Base without subscriptions.
Side effects
- Rows array empty or exceeds 100-item limit — returns validation error
- Instructions field missing or ambiguous — AI may produce unexpected or incomplete output fields
- Output fields not achievable from row content — rows may return null or empty values for those fields
- Payment not fulfilled via x402 — request rejected with 402 Payment Required
- Malformed row objects — transformation may skip or error on unparseable entries
- Duplicate field names not present in rows — duplicate detection returns zero matches
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| ai | boolean | |
| rows | array | |
| instructions | string | |
| outputFields | array | |
| duplicateFields | array |
Output
Schema · Response
{
"type": "json",
"example": {
"mode": "ai-assisted",
"rows": [
{
"_index": 0,
"complaint": "slow shipping",
"sentiment": "negative",
"needsReview": false,
"reviewReasons": []
}
],
"stats": {
"inputRows": 1,
"outputRows": 1,
"rowsNeedingReview": 0,
"deterministicDuplicateRows": 0
},
"review": []
}
}Tags
x402
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