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Feature Availability Analytics — Grouped Numeric Summary + Daily Sum Series
x402
Feature Availability Analytics — Grouped Numeric Summary + Daily Sum 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).
Computes a grouped numeric summary and a daily sum time series for feature availability data (populated_features, expected_features) across up to 200 rows, returning two local analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum 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
Two analytical reports: (1) a grouped numeric summary breaking down populated_features or expected_features statistics by dataset_group, and (2) a daily sum time series aggregating the selected field by date — computed locally on the supplied rows with no external calls.
Example use cases
Daily feature coverage trend report
“I have daily records of how many features were populated vs expected across two dataset groups over the past week — can you generate a grouped numeric summary and daily sum time series for 'populated_features' so I can see the coverage trend per day?”
Data quality audit by dataset group
“Run a grouped numeric summary on these 50 feature availability rows split across group-a and group-b, using the 'expected_features' field — I want to understand how each group compares statistically.”
Pipeline completeness monitoring
“I'm tracking feature completeness for my ML pipeline — here are 200 rows of populated_features and expected_features per date and dataset group. Can you give me both the grouped summary and the daily sum series for 'populated_features'?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-089?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have feature availability records (populated and expected feature counts) tagged by date and dataset group, and you need both a grouped statistical summary and a daily aggregated time series in a single cheap call ($0.01 USDC for up to 200 rows). Prefer this over general-purpose analytics tools when the data is already structured with populated_features/expected_features fields and you want two complementary views — cross-group statistics and a time trend — without spinning up a full analytics pipeline.
Side effects
- Input array is empty or missing (minItems: 1 not satisfied)
- More than 200 rows supplied (maxItems: 200 exceeded)
- row_id missing or empty string (minLength: 1 required)
- date field does not match YYYY-MM-DD pattern
- field value is not one of the two allowed enum values ('populated_features' or 'expected_features')
- populated_features or expected_features exceed numeric bounds (±1,000,000,000,000)
- Malformed JSON body returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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