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Label Review Analytics — Trailing Mean Series & Equal-Width Histogram
x402
Label Review Analytics — Trailing Mean Series & Equal-Width Histogram 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).
Computes a trailing mean time series and an equal-width histogram for label review data (reviewed_records or changed_labels) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Trailing mean series + Equal-width histogram: Trailing mean series + Equal-width histogram 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 trailing mean series showing the rolling average of the selected field (reviewed_records or changed_labels) over the specified window, indexed by date/row; and (2) an equal-width histogram showing bin boundaries and frequency counts for the distribution of that field across all supplied rows.
Example use cases
ML annotation quality trend analysis
“I have 150 rows of daily annotation review records across 3 dataset groups — each row has a date, reviewed_records count, and changed_labels count. Can you compute a trailing mean with a window of 7 and a 10-bin histogram on the changed_labels field so I can see how correction rates are trending?”
Label correction distribution audit
“Run a histogram with 8 equal-width bins and a trailing mean with window size 3 on my label review data — I'm looking at reviewed_records across about 60 rows to understand whether review volume is clustering in certain ranges.”
Dataset group review activity summary
“I need to summarize label review activity for our two dataset groups — group-alpha and group-beta — over the last 90 days. Can you compute a 14-day trailing mean and a 5-bin histogram on reviewed_records for all 90 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-148?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two complementary statistical views — a rolling/trailing mean time series AND a frequency histogram — on label review data (reviewed_records or changed_labels) in a single low-cost call. Prefer it over generic analytics tools when your data fits the label-review schema (row_id, dataset_group, date, reviewed_records, changed_labels) and you need fast, local computation without external lookups or predictions. Ideal for MLOps teams auditing annotation pipelines at up to 200 rows per call.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows submitted — request will be rejected or truncated
- Window size larger than number of rows — trailing mean series may return empty or partial results
- Invalid date format (must match YYYY-MM-DD pattern) — row-level validation error
- Bin count outside 1–30 range — schema validation failure
- Null values in selected field — may be excluded from calculations or produce incomplete series
- Field value exceeds numeric bounds (±1 trillion) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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