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Label Review Analytics — Daily Sum Series + Trailing Mean Series
x402
Label Review Analytics — Daily Sum Series + Trailing Mean 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).
Computes a daily sum time series and a trailing moving average series for label review metrics (reviewed_records or changed_labels) from up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Daily sum series + Trailing mean series: Daily sum series + Trailing mean 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: (1) a daily sum series aggregating the chosen metric (reviewed_records or changed_labels) by date, and (2) a trailing mean series computed over the specified window size — both derived entirely from the supplied row data, with no external lookups or predictions.
Example use cases
Annotation throughput trend analysis
“I have 150 rows of daily label review records across two dataset groups for the past quarter. Can you compute the daily sum of reviewed_records and a trailing mean with a window of 5 so I can see the throughput trend and how it smooths out over time?”
Label change spike detection
“We've been tracking changed_labels daily for our ML training datasets. Can you run a daily sum series and a trailing mean with window 10 on my review data so I can spot any anomalous spikes in label edits?”
Multi-group label review summary
“I need to compare labeling activity across group-a and group-b. Can you take my 80 rows of review records and give me the daily sum and trailing mean (window 3) for changed_labels so I can see which group has been more active?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-136?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular label review data and need both a daily aggregation time series and a smoothed rolling average in a single low-cost call. It is purpose-built for annotation and data labeling QA workflows where you want to track daily throughput or label change volume over time without spinning up your own analytical infrastructure. Prefer this over generic analytics tools when your data fits the label review schema (reviewed_records, changed_labels, dataset_group) and you want both reports bundled for $0.01.
Side effects
- Input array exceeds 200 rows — request rejected
- Invalid date format (must match YYYY-MM-DD pattern)
- Window size outside range 2–200 — validation error
- Field value not one of ['reviewed_records','changed_labels'] — enum error
- All numeric values null — empty or degenerate output
- Missing required fields (row_id, date) — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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