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Feature Availability Analytics — Numeric Distribution + Keyed Dataset Comparison
x402
Feature Availability Analytics — Numeric Distribution + Keyed Dataset Comparison 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 keyed dataset comparison for up to 200 feature availability records (populated_features vs expected_features) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Numeric distribution + Keyed dataset comparison: Numeric distribution + Keyed dataset comparison 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 report summarizing statistical properties of the selected field (populated_features or expected_features) across the supplied rows, and (2) a keyed dataset comparison report contrasting the two metrics by dataset_group and date key. Both reports are computed locally without external lookups. Up to 200 rows processed per call.
Example use cases
ML pipeline feature completeness audit
“I need to check how complete my feature data is for my ML pipeline — can you run a numeric distribution on the populated_features field and compare it against the expected_features across my two dataset groups 'train' and 'test' for the past month? I have about 150 rows.”
Data quality reporting by group
“Can you analyze my feature availability records and give me a distribution report plus a comparison between 'region-east' and 'region-west' dataset groups? I want to see how populated_features stacks up against expected_features across 80 rows dated from 2026-09-01 to 2026-09-30.”
Feature population gap detection
“I want to find gaps in my feature population — run a numeric distribution and keyed comparison on my 120-row dataset with groups 'batch-1' and 'batch-2', looking at the expected_features field, so I can see where feature availability is falling short.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-084?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a numeric distribution analysis and a keyed group comparison for feature availability data in a single low-cost call ($0.01 USDC). It is ideal when you have structured records with populated_features and expected_features counts grouped by dataset_group and date, and you want local analytical computation without external API calls, predictions, or professional assessments. Prefer it over single-report endpoints when both distribution and comparison insights are needed simultaneously.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, populated_features, expected_features) cause schema validation failure
- Invalid date format (not YYYY-MM-DD) rejected by pattern validation
- Null values in both numeric fields may reduce statistical meaningfulness
- Fewer than 1 row in the array causes a minItems validation error
- Invalid field enum value (not 'populated_features' or 'expected_features') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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