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Label Review — Adjacent Row Changes + Base-100 Series
x402
Label Review — Adjacent Row Changes + 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 2026-10-24).
Computes adjacent row changes and a base-100 index series for label review records (reviewed_records and changed_labels) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Adjacent row changes + Base-100 series: Adjacent row changes + 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 analytical reports: (1) adjacent row changes showing the delta between consecutive rows for the selected field, and (2) a base-100 index series normalizing the selected field relative to the specified base row — both computed locally against the supplied label review data, with no external lookups or predictions.
Example use cases
Tracking label change velocity over time
“I have a week of daily label review records with reviewed_records and changed_labels counts per dataset group — can you compute the row-over-row changes and index them to a base of 100 starting from the first row, analyzing the changed_labels field?”
Benchmarking annotation throughput by group
“Take my 20-row label review dataset with dates and group tags and give me both the adjacent row changes report and a base-100 series for reviewed_records, so I can see which groups are accelerating or slowing down relative to baseline.”
QA audit of labeling pipeline consistency
“I need to audit my labeling pipeline — can you run the adjacent row changes and base-100 index analysis on my 50-row dataset of reviewed_records values starting from base index 5, so I can spot any sudden spikes or drops?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-155?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of label review records and need both sequential delta analysis (adjacent row changes) and relative trend visualization (base-100 indexing) in a single low-cost call. It is ideal for annotation pipelines, ML data quality audits, and labeling throughput monitoring where you want offline computation against your own supplied data without external dependencies.
Side effects
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit
- base_index referencing a row out of range (>= row count) causes indexing failure
- Null values in the selected field may produce incomplete series output
- Non-numeric values in reviewed_records or changed_labels fail schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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