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Render Jobs Data Quality Audit + String Normalisation + Daily Sum Series
x402
Render Jobs Data Quality Audit + String Normalisation + Daily Sum Series 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 a daily sum time series — for up to 200 rows of render_seconds or sample_count data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series 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
Returns three bundled reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, and malformed dates; (2) normalised string representations of the asset_group field; and (3) a daily aggregated sum series for the chosen numeric field (render_seconds or sample_count), all computed locally with no external lookups.
Example use cases
Pipeline output data quality check
“I've got 150 rows of render job logs from last week with row IDs, asset groups, dates, render_seconds and sample_counts — can you run a quality audit on them, normalise the asset group strings, and show me a daily sum for render_seconds?”
Daily render time aggregation for billing
“Take these render job records for October and give me a daily sum series on render_seconds so I can see total rendering time per day — also flag any quality issues or inconsistent string formatting in the asset group field.”
Sample count anomaly detection prep
“Before I hand off this dataset of 80 render job rows to finance, can you audit the record quality, clean up the asset group names, and produce a daily sum series for sample_count so we can spot any unusual spikes?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three of a quality audit, string normalisation, and daily sum series on render job data in a single low-cost call ($0.01 USDC). It is ideal for pipelines that produce render_seconds or sample_count logs by asset group and date, and where offline analytical processing (no live lookups or external calls) is sufficient. It covers up to 200 rows per call.
Side effects
- Fewer than 1 or more than 200 rows supplied — request rejected
- date field does not match YYYY-MM-DD pattern — validation error
- row_id missing or empty — schema validation failure
- numeric field values outside allowed range (±1,000,000,000,000) — rejected
- field enum value other than render_seconds or sample_count — invalid input error
- Payment of 0.01 USDC not completed — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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