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Render Jobs — Record Quality Audit + String Normalisation + Duplicate Key Report
x402
Render Jobs — Record Quality Audit + String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs three analytical reports on render job records: a record quality audit, string normalisation, and duplicate key detection — all from supplied data, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report for supplied render jobs records (render_seconds, sample_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging null values, out-of-range numbers, and malformed fields; (2) a string normalisation report showing standardised versions of text fields like asset_group; (3) a duplicate key report identifying any repeated row_id values across the supplied rows. All results are derived purely from the submitted data with no external lookups.
Example use cases
Pre-pipeline render data hygiene check
“Before I push this batch of render job records into our pipeline, can you audit them for quality issues, normalise any inconsistent strings in asset_group, and flag any duplicate row IDs? I'll give you the rows with render_seconds and sample_count fields.”
Spotting duplicate keys in animation dataset
“I've got a dataset of render jobs from last quarter — each row has a row_id, asset_group, date, render_seconds, and sample_count. Can you check if there are any duplicate row IDs across these records and give me a full duplicate key report?”
Data quality review for render billing reconciliation
“We need to reconcile our render billing data and I want to make sure the records are clean first. Can you run a record quality audit and string normalisation on these render job rows — about 150 records with render_seconds and sample_count — and tell me what issues you find?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-192?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local analytical reports on render job data specifically (render_seconds, sample_count per asset group and date) without any external lookups or predictions. It combines three reports in a single low-cost call ($0.01 USDC), making it efficient for batch data hygiene checks before ingestion into rendering pipelines or billing reconciliation workflows. Prefer alternatives if you need live data enrichment, forecasting, or reports on non-render-job data schemas.
Side effects
- Submitting more than 200 rows returns an error or truncates input
- Missing required fields (row_id, asset_group, date, render_seconds, sample_count) causes validation failure
- Malformed date strings not matching YYYY-MM-DD pattern may cause parse errors
- Numeric values outside the allowed range (-1e12 to 1e12) may be rejected
- Empty rows array (minItems: 1 not met) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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