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Render Jobs Data Quality Audit & Analytics (3-Report Bundle)
x402
Render Jobs Data Quality Audit & Analytics (3-Report Bundle) 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: record quality audit, string normalisation, and category frequency analysis — all from supplied data, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies 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 independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in render_seconds and sample_count fields; (2) normalised string output for asset_group and other string fields; and (3) category frequency counts showing how often each asset_group appears across the submitted rows. All computed locally from the supplied data with no external lookups.
Example use cases
Pre-pipeline render data validation
“Before I load this batch of render job logs into our database, can you run a quality audit on these 80 records — check for missing render_seconds or sample_count values, normalise the asset_group labels, and tell me how many jobs fall into each asset group category?”
Render farm output quality check
“I've exported 120 rows from our render farm job tracker with columns row_id, asset_group, date, render_seconds, and sample_count. Can you audit the record quality, standardise the asset group strings, and give me a frequency breakdown by category?”
Post-production asset group analysis
“Here are 35 render job records from last week's post-production run. Can you check the data quality, clean up any inconsistent asset_group names, and count how many records belong to each category — I need all three reports together.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three analytical operations — quality auditing, string normalisation, and category frequency counting — on render job data in a single low-cost API call. It is purpose-built for render pipeline data (render_seconds, sample_count, asset_group) and bundles three reports for $0.01 USDC, making it more cost-effective than calling separate endpoints. Prefer it over generic data quality tools when your data schema matches render job records specifically.
Side effects
- Submitting more than 200 rows returns an error — batch must be split
- Missing required fields (row_id, asset_group, date, render_seconds, sample_count) will cause validation failure
- Invalid date format (not YYYY-MM-DD) will be rejected by schema validation
- Empty rows array returns an error — at least 1 row required
- Payment failure via x402 protocol will block the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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