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Label Review — Numeric Interval Filter + Base-100 Series
x402
Label Review — Numeric Interval Filter + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Analyzes label review records by filtering rows within a numeric interval and computing a base-100 indexed series for reviewed_records or changed_labels, returning two reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric interval filter + Base-100 series: Numeric interval filter + 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
Returns two independent analytical reports: (1) a numeric interval filter report listing which rows fall within the specified minimum/maximum range for the chosen field, and (2) a base-100 indexed series showing each row's value relative to the designated base row (base_index), both computed locally on the supplied data without any external lookup or live data fetch.
Example use cases
Baseline trend analysis for label audits
“I've got 80 label review rows across two dataset groups from October. Can you build a base-100 indexed series for changed_labels anchored at row 0, and also filter to only rows where changed_labels falls between 1 and 50?”
QA range check on reviewed record counts
“Run an interval filter on my label review data — I want to see which rows have reviewed_records between 500 and 5000, and also give me a base-100 series starting from row index 2 for reviewed_records. I have about 120 rows total.”
ML dataset label change monitoring
“Here are 150 label review records from my ML pipeline. Filter them for changed_labels between -10 and 200, and compute a base-100 series for changed_labels starting at row index 0 so I can track relative label churn over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-128?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a numeric range filter and a base-100 normalization series on label review data in a single $0.01 call, without requiring any live data source, external API, or model inference. It is purpose-built for label review workflows (reviewed_records, changed_labels) and covers up to 200 rows across two bundled reports — ideal for small-to-medium dataset quality audits where cost efficiency and offline computation matter.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause row-level errors
- base_index out of bounds for the provided row count
- minimum greater than maximum causes empty or invalid filter result
- Non-numeric values in reviewed_records or changed_labels fields trigger validation errors
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number | |
| base_index | integer |
Tags
x402
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