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Feature Availability Analytics — Numeric Distribution & Base-100 Series
x402
Feature Availability Analytics — Numeric Distribution & 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 2026-10-20).
Computes a numeric distribution report and a base-100 indexed time series for supplied feature availability data (populated_features vs expected_features) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Numeric distribution + Base-100 series: Numeric distribution + 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 independent analytical reports: (1) a numeric distribution summarizing the statistical spread of the selected field (populated_features or expected_features) across the submitted rows, and (2) a base-100 indexed time series showing relative movement from the chosen base_index row — both computed locally from the supplied data with no external lookups.
Example use cases
Feature fill rate trend over time
“I have daily records for two dataset groups over the past 3 months showing how many features were populated vs expected. Can you compute a numeric distribution and base-100 series on populated_features, starting the index at row 0?”
Cross-group feature completeness audit
“I want to compare feature availability across my 'group-a' and 'group-b' datasets. Here are 120 rows with expected_features and populated_features — run the numeric distribution and base-100 index on the expected_features field, indexed from the first row.”
ML pipeline feature coverage report
“Before I train my model, I need to check feature coverage. I have up to 200 date-stamped rows with populated and expected feature counts across several pipeline stages — can you give me the numeric distribution and a base-100 index series for populated_features starting from position 0?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-078?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have tabular feature availability data (populated vs expected feature counts per date and group) and need both a statistical distribution and a base-100 indexed trend series in a single low-cost call. Prefer this over general-purpose analytics tools when you want a lightweight, deterministic, offline computation with no data leaving your supplied payload to external sources, and when your dataset fits within 200 rows.
Side effects
- Missing required fields (row_id, date, populated_features, expected_features) cause validation errors
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- base_index out of range (>=number of rows) causes an error
- null values in both populated_features and expected_features may degrade or skip distribution calculations
- Payment of 0.01 USDC not attached causes 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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