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Feature Availability Analytics: Numeric Interval Filter + Trailing Mean Series
x402
Feature Availability Analytics: 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 2026-10-20).
Runs two local analytical reports on feature availability records — a numeric interval filter and a trailing mean series — over up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Numeric interval filter + Trailing mean series: Numeric interval filter + Trailing mean series for supplied feature availability records (populated_features, expected_features). 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 for the supplied rows: (1) a numeric interval filter listing which rows fall within the specified min/max range for the chosen field, and (2) a trailing mean series showing the rolling average of the chosen field over the configured window size. Both reports are computed locally without external lookups.
Example use cases
Dataset completeness trend smoothing
“I have daily records of how many features were populated vs expected across two dataset groups over the past 3 months. Can you compute a trailing mean with a window of 14 on the populated_features field to smooth out daily noise?”
Interval filter for anomaly scoping
“Filter my feature availability rows to only those where expected_features is between 10 and 250, and also give me a trailing mean series with a window of 5 so I can see the rolling average trend within that range.”
Comparing feature population across groups
“I've got 120 rows of feature availability data split across group-a and group-b. Run both the numeric interval filter — keeping populated_features between 5 and 100 — and a trailing mean with a window of 3 so I can compare trends across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-126?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 feature availability records and need both a numeric range filter and a trailing mean series computed together in a single call at low cost ($0.01). Ideal for data quality monitoring pipelines where you want to isolate records within a feature-count band and simultaneously smooth the time series. Not suitable for live data lookups, predictions, datasets exceeding 200 rows, or operations needing external data enrichment.
Side effects
- Supplying fewer than 1 or more than 200 rows returns a validation error
- Window size less than 2 or greater than 200 is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Minimum value greater than maximum value may produce empty filter results
- Null values in populated_features or expected_features may affect trailing mean computation
- Missing required row fields (row_id, date) causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| maximum | number | |
| minimum | number |
Tags
x402
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