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Feature Availability Analytics: Numeric Interval Filter + Adjacent Row Changes
x402
Feature Availability Analytics: Numeric Interval Filter + Adjacent Row Changes 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).
Analyzes feature availability records by filtering rows within a numeric interval and detecting adjacent row changes across populated_features or expected_features fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Numeric interval filter + Adjacent row changes: Numeric interval filter + Adjacent row changes 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 independent analytical reports: (1) rows from the input whose specified field value falls within the supplied numeric interval [minimum, maximum], and (2) a detection of adjacent row-to-row changes in the specified field across the supplied dataset — up to 200 rows processed per call.
Example use cases
Daily data quality audit
“I have 80 rows of daily feature availability records for two dataset groups. Filter the populated_features field between 0 and 50 and also show me where adjacent rows changed — rows go from 2026-11-01 to 2026-11-80, each with a row_id, dataset_group, populated_features, and expected_features value.”
Spot anomalous feature drops
“Can you check my feature availability data for adjacent row changes in the expected_features field and filter to values between 100 and 500? I'll give you 40 rows across group-alpha and group-beta dated from 2026-09-01 onwards.”
Compare feature population across interval
“I want two reports on my dataset: one showing which rows have populated_features between 20 and 200, and one showing where the value jumped or dropped between consecutive rows. Here are 60 rows with row IDs row-001 through row-060, all in dataset_group 'prod-us', dated from 2026-08-01.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-127?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous local analytical reports — interval filtering and adjacent row change detection — on feature availability data, without needing live lookups or external data enrichment. Ideal for data quality pipelines, feature population audits, and batch dataset inspection tasks up to 200 rows at $0.01 USDC per call.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required row fields (row_id, date, populated_features, expected_features) causes request rejection
- Date values not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 range fail schema validation
- Empty rows array returns an error
- Invalid field enum value (not 'populated_features' or 'expected_features') causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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