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Render Jobs String Normalisation + Daily Sum Series
x402
Render Jobs 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 2026-10-21).
Accepts up to 200 render job records and returns two analytical reports: string normalisation of asset/group fields and a daily sum time series for render_seconds or sample_count.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — String normalisation + Daily sum series: String normalisation + Daily sum series for supplied render jobs records (render_seconds, sample_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two analytical reports: (1) string normalisation results for the asset_group and related string fields across supplied rows, and (2) a daily sum time series for the selected numeric field (render_seconds or sample_count) aggregated by date — both computed locally without any external data lookup.
Example use cases
Daily render throughput trend analysis
“I have a month of render job records — each row has a date, asset group, and render_seconds. Can you normalize the asset group names and give me a daily total of render_seconds so I can see throughput trends?”
Sample count aggregation for billing audit
“I need to sum up sample_count by day across all my render jobs for Q4. I have about 150 rows. Can you run the daily sum series report on sample_count and clean up the string fields at the same time?”
Multi-group render pipeline reporting
“We have render jobs split across group-a and group-b going from October 1st to October 4th, with render_seconds logged per row. Can you normalize the group names and produce a daily sum series so I can compare output across dates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a daily sum time series in a single cheap call ($0.01 USDC) on up to 200 rows of render job data. It is ideal for media/rendering pipeline analytics where you want to clean asset group labels and inspect daily throughput trends without any external API dependencies or live data lookups.
Side effects
- Fewer than 1 row supplied returns a validation error
- More than 200 rows causes rejection due to maxItems limit
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Null numeric values may be excluded from daily sums
- Invalid field enum value (not render_seconds or sample_count) causes rejection
- Missing required fields (row_id, date, asset_group) cause row-level errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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