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Feature Availability — Category Frequencies + Base-100 Series
x402
Feature Availability — Category Frequencies + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Computes category frequency distributions and a base-100 indexed series for feature availability records (populated_features vs expected_features) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Category frequencies + Base-100 series: Category frequencies + Base-100 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 feature availability rows: (1) category frequency counts grouped by dataset_group or value categories, and (2) a base-100 indexed series for the selected field (populated_features or expected_features) anchored at the specified base_index row — all computed locally with no external lookups.
Example use cases
Feature completeness audit by dataset group
“I have 150 rows of feature availability records across two dataset groups — run category frequency analysis and a base-100 series on the populated_features field so I can see how completeness is distributed and how it trends from the first row.”
Benchmarking expected vs populated feature counts
“Can you analyze these feature availability records using expected_features as the target field, with base index 0, and give me both the category frequency breakdown and base-100 indexed series so I can benchmark completeness over time?”
Tracking feature population trends across dates
“I want to see how feature population rates change over a date range — I have 80 rows grouped by dataset_group with populated_features and expected_features values. Run the category frequencies and base-100 trend series using populated_features starting from index 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-105?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of feature availability data and need both a categorical frequency distribution and a base-100 trend series in a single low-cost call ($0.01 USDC). Ideal for lightweight, self-contained analytics on data quality or feature completeness datasets without requiring an external analytics platform or live data connection.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, populated_features, expected_features) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- base_index out of range (must be 0–199 and within row count) causes computation error
- Null values in the selected numeric field may produce incomplete series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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