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Feature Availability Analytics: Numeric Row Ordering + Equal-Width Histogram
x402
Feature Availability Analytics: Numeric Row Ordering + Equal-Width Histogram 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).
Generates two local analytical reports — numeric row ordering and an equal-width histogram — for feature availability data (populated_features and expected_features) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Numeric row ordering + Equal-width histogram: Numeric row ordering + Equal-width histogram 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: (1) rows sorted/ranked numerically by the selected feature field, and (2) an equal-width histogram with up to 30 user-specified bins showing frequency distribution of values across the submitted rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Feature completeness audit across dataset groups
“I have 50 dataset records with populated_features and expected_features values across groups A and B — can you rank them by populated_features and show me a 10-bin histogram so I can see the distribution of completeness?”
Expected features distribution check for data pipeline
“We're validating our data pipeline output. Here are 100 rows with expected_features counts per date — can you run a 20-bin equal-width histogram on the expected_features field so we can spot any anomalies in the distribution?”
Daily feature availability ranking for monitoring dashboard
“I've got 30 rows of daily feature availability logs with row IDs, groups, and both populated and expected feature counts — please rank them numerically by populated_features and give me 5 histogram bins so I can report on today's data completeness.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-118?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need quick, local statistical analysis of feature availability data — specifically numeric ordering and equal-width histogram generation — without any external API calls, ML predictions, or professional assessments. It is ideal when you have up to 200 rows of structured feature records with populated/expected counts and need two complementary reports in a single $0.01 call. Prefer this over general-purpose analytics platforms when you want a lightweight, reproducible, deterministic summary of data completeness distributions.
Side effects
- Empty or malformed rows array returns a validation error
- More than 200 rows submitted exceeds the maximum and is rejected
- Bins value outside 1–30 range is rejected by schema validation
- Null values in populated_features or expected_features may affect histogram bin computation
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- row_id exceeding 80 characters is rejected
- Payment not included or insufficient USDC triggers x402 payment-required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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