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Label Review Analytics: Numeric Distribution + Trailing Mean Series
x402
Label Review Analytics: Numeric Distribution + 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 numeric distribution statistics and a trailing mean time series for label review data (reviewed_records and changed_labels) supplied by the caller, up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric distribution + Trailing mean series: Numeric distribution + 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
Returns two independent analytical reports for the supplied dataset: (1) a numeric distribution report showing statistical spread of the chosen field (reviewed_records or changed_labels), and (2) a trailing mean time series computed over the specified window, both based purely on the caller-supplied rows with no external lookups.
Example use cases
ML annotation pipeline quality review
“I have 120 rows of daily label review data from our annotation team, each with a dataset group, reviewed_records, and changed_labels. Can you give me the numeric distribution and a trailing mean series for changed_labels using a window of 7 so I can see where our label correction rate is trending?”
Spotting review volume spikes in a dataset group
“I've got 60 rows of label audit records across two dataset groups from the past two months. Run me the numeric distribution for reviewed_records with a trailing mean window of 3 so I can spot any unusual spikes in review volume.”
Comparing label change consistency across groups
“Here are 80 rows from our label QA sessions — each row has a date, dataset_group, reviewed_records, and changed_labels. Give me the full numeric distribution and trailing mean for changed_labels with a window of 10, so I can see if any groups have inconsistent label change rates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-076?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have your own label review tabular data and need two complementary analytical views — numeric distribution and trailing mean — computed locally without any external data access. It is well-suited for ML/data labeling teams auditing annotation throughput or label change rates across dataset groups over time. Prefer it over generic statistics APIs when your data fits the reviewed_records/changed_labels schema and you want both reports in a single low-cost call.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maximum is 200
- Invalid date format (must match YYYY-MM-DD pattern)
- Window size smaller than 2 or larger than 200
- Numeric field values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Missing required row fields (row_id, date, reviewed_records, changed_labels)
- Invalid field enum value — must be 'reviewed_records' or 'changed_labels'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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