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Render Jobs — String Normalisation + Keyed Dataset Comparison
x402
Render Jobs — String Normalisation + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Normalises string fields and performs keyed row-by-row comparison between two render jobs datasets (render_seconds, sample_count), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Render jobs — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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
Returns two analytical reports: (1) a string normalisation report standardising text fields like asset_group across the supplied rows, and (2) a keyed dataset comparison report matching rows from the primary and secondary datasets by row_id and highlighting differences in render_seconds and sample_count. No external data is fetched; all analysis is performed locally on the supplied data.
Example use cases
Before/after render time audit
“I have two snapshots of our render farm jobs — one from last week and one from this week — each with row IDs, asset groups, dates, render_seconds and sample_count. Can you normalise the asset group names and do a keyed comparison to show me exactly which rows changed and by how much?”
QA check on re-rendered asset batch
“We re-rendered a batch of assets and I need to verify the output against the original. I have both datasets with up to 150 rows each, keyed by row_id and asset_group. Please normalise the string fields and compare the two to flag any differences in render_seconds or sample_count.”
Cross-team render pipeline reconciliation
“Two teams submitted render job reports for the same scenes but with slightly different values. Can you take both datasets — up to 200 rows, with render_seconds and sample_count per row — normalise the text fields so groupings are consistent, then produce a keyed comparison report showing mismatches?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-02-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two structured render job datasets keyed by row_id and need both string-field normalisation (e.g. cleaning up inconsistent asset_group names) and a row-level diff of numeric metrics (render_seconds, sample_count) in a single low-cost call. Ideal for render pipeline QA, before/after comparisons, and cross-team reconciliation of up to 200 rows without requiring an external database or live lookup.
Side effects
- Missing required fields (row_id, asset_group, date, render_seconds, sample_count) causes validation error
- Input exceeding 200 rows per array is rejected
- Invalid date format (non-YYYY-MM-DD) causes schema validation failure
- Empty rows array returns an error
- Numeric values outside ±1,000,000,000,000 are rejected
- Mismatched row_id keys between datasets will result in unmatched rows reported
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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