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Label Review — Numeric Interval Filter + Trailing Mean Series
x402
Label Review — Numeric Interval Filter + 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 2026-10-24).
Runs two analytics reports on label review data: filters rows by a numeric interval and computes a trailing mean series, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Label review — Numeric interval filter + Trailing mean series: Numeric interval filter + 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) rows from the supplied label review data whose specified field (reviewed_records or changed_labels) falls within the given numeric interval [minimum, maximum], and (2) a trailing mean series computed over the specified rolling window for the chosen field — both derived entirely from the supplied data, with no external lookups.
Example use cases
QA team monitoring label change rates
“I have 80 rows of daily label review records with reviewed_records and changed_labels values — can you filter the changed_labels field between 0 and 50 and compute a trailing mean with a window of 5 so I can see the rolling trend?”
ML pipeline data audit
“Run a numeric interval filter keeping only rows where reviewed_records is between 10 and 200, and also give me a trailing mean series using a window of 4, for this batch of 120 label review records across my dataset groups.”
Annotation throughput trend analysis
“I want to analyze my annotation team's label review output — here are 60 rows of daily records. Filter the reviewed_records field between 20 and 150 and calculate the trailing mean with a window of 7 so I can spot trends over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-12-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously apply a numeric range filter and compute a rolling/trailing mean on label review records (reviewed_records or changed_labels) within a single API call for up to 200 rows. It is ideal for ML data quality workflows, annotation throughput monitoring, or any scenario where you supply your own label review data and need two complementary statistical views without any external data lookup or prediction.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- Window value outside range 2–200 results in error
- Minimum greater than maximum produces empty interval filter result
- Null values in the selected field may reduce trailing mean coverage
- Missing required fields (row_id, date, reviewed_records, changed_labels) cause schema validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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