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Label Review Daily Sum Series + Base-100 Series Analytics
x402
Label Review Daily Sum Series + Base-100 Series Analytics is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Generates two analytical reports — a daily sum series and a base-100 indexed series — from supplied label review data (reviewed_records and changed_labels) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Daily sum series + Base-100 series: Daily sum series + Base-100 series 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 computed locally from the supplied data: (1) a daily sum series aggregating the selected field by date, and (2) a base-100 index series normalizing the field values relative to the specified base row, both covering up to 200 input rows.
Example use cases
Track annotation throughput over sprint
“I have 4 weeks of daily label review data across two dataset groups with reviewed_records and changed_labels per day — can you run a daily sum series and a base-100 index series on reviewed_records starting from day 0 so I can see throughput trends?”
Monitor label quality drift over time
“Run a daily sum and base-100 series on my changed_labels field for these 150 rows of label review records — use row index 0 as the base — I want to see if label correction rates are drifting upward across my dataset groups.”
Compare normalized review pace across groups
“I've got label review records for two groups over the past month, each with reviewed_records and changed_labels by date — generate both the daily sum series and the base-100 indexed series using changed_labels so I can compare activity normalized to a common baseline.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-138?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have label review records with reviewed_records and changed_labels fields and need both a daily aggregated sum time series and a base-100 normalized trend series computed together in a single call for up to 200 rows, without needing any live data lookup, external enrichment, or prediction.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, reviewed_records, changed_labels) on any row — validation error
- Invalid date format (must be YYYY-MM-DD) — pattern mismatch error
- base_index out of range for the supplied row count — index error
- Numeric values outside allowed range (±1,000,000,000,000) — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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