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Render Jobs Data Quality Audit, String Normalisation & Numeric Interval Filter
x402
Render Jobs Data Quality Audit, String Normalisation & Numeric Interval Filter 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 check, and numeric interval filter for render_seconds or sample_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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 structured analytical reports covering: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalisation report identifying and standardising inconsistencies in text fields like asset_group; and (3) a numeric interval filter report listing which rows have render_seconds or sample_count values within the specified minimum–maximum range. All reports are generated locally from the supplied data with no external lookups.
Example use cases
Pre-pipeline render data validation
“I have a batch of render job records with row IDs, asset groups, dates, render_seconds, and sample_count — can you run a full quality audit, normalise the strings, and filter to only rows where render_seconds falls between 5 and 120?”
Outlier detection in sample counts
“Can you audit these 150 render job rows for data quality issues, normalise any messy string fields, and flag rows where sample_count is outside the range 1 to 500?”
Creative pipeline data cleaning
“Before I load these render job records into our pipeline, can you run the three data reports — quality audit, string normalisation, and a numeric interval filter on render_seconds between 0 and 300 — for all 80 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have render job records (up to 200 rows) and need three simultaneous data quality checks — record audit, string normalisation, and numeric range filtering — in a single low-cost call. It is ideal for pre-ingestion validation of creative pipeline data where you need local, offline-style analytics without any external API dependencies, predictions, or live lookups. Prefer this over general-purpose data tools when your data specifically contains render_seconds and sample_count fields tied to asset groups.
Side effects
- Fewer than 1 row supplied — minimum item count not met
- More than 200 rows supplied — exceeds maxItems limit
- Invalid date format not matching YYYY-MM-DD pattern
- row_id missing or empty — required field
- Numeric values for render_seconds or sample_count outside allowed range (-1e12 to 1e12)
- Field selector not one of 'render_seconds' or 'sample_count' enum values
- Minimum value greater than maximum value causing empty interval result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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