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Label Review Analytics — Base-100 Series + Keyed Dataset Comparison
x402
Label Review Analytics — Base-100 Series + 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 2026-10-24).
Runs two analytical reports on label review data: a Base-100 indexed time series and a keyed dataset comparison, for up to 200 rows of reviewed_records or changed_labels metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Base-100 series + Keyed dataset comparison: Base-100 series + Keyed dataset comparison for supplied label review records (reviewed_records, changed_labels). 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 independent analytical reports: (1) a Base-100 indexed time series showing how the selected metric (reviewed_records or changed_labels) evolves relative to a baseline value of 100, and (2) a keyed dataset comparison report highlighting differences between the primary and secondary datasets matched by row key. Both reports are computed locally with no external lookups.
Example use cases
Benchmarking label review throughput over time
“I have daily label review records for two dataset groups from October 2026 — can you index the reviewed_records field to a base-100 series and also compare the two groups as keyed datasets to see where they diverge?”
Auditing changed_labels drift between dataset versions
“I've got two versions of our annotation dataset with changed_labels counts per date and group. Can you run a base-100 series on the changed_labels field and do a keyed comparison between the two versions so I can see which rows shifted the most?”
Tracking QA label corrections across team groups
“Our QA team has reviewed records split across group-a and group-b over the past month. Can you generate a base-100 trend on reviewed_records and a keyed comparison between the two groups — up to 150 rows — so we can benchmark their correction rates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a Base-100 indexed time series and a keyed dataset comparison on label review data (reviewed_records or changed_labels) in a single $0.01 call, without needing external lookups, predictions, or live data. It is ideal for offline auditing of annotation or QA pipelines where two dataset snapshots need to be benchmarked against each other.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, reviewed_records, changed_labels) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in the selected metric field may produce incomplete series output
- Mismatched keys between primary and secondary dataset reduce comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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