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Feature Availability Analytics — String Normalisation + Grouped Numeric Summary
x402
Feature Availability Analytics — String Normalisation + Grouped Numeric Summary 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).
Produces two analytical reports — string normalisation and grouped numeric summary — for supplied feature availability records (populated_features, expected_features) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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 string normalisation report over the selected field values across all supplied rows, and (2) a grouped numeric summary breaking down statistics by dataset_group. Both reports are generated locally from the supplied data with no external lookups or predictions.
Example use cases
Dataset feature completeness audit by group
“I've got 50 rows of feature availability records split across three dataset groups for Q4 2026 — can you give me a grouped numeric summary and string normalisation report on the populated_features field so I can see which groups have the best coverage?”
Expected vs populated feature gap analysis
“Here are 120 rows of daily feature records from our pipeline — each has a dataset_group, date, populated_features count and expected_features count. Run both the string normalisation and grouped numeric summary reports on expected_features so I can spot where we're falling short.”
Feature population rate monitoring across dates
“I need a grouped numeric summary and string normalisation for my feature availability dataset — 80 rows from 2026-01-01 to 2026-03-31 covering two groups, with populated_features and expected_features logged daily. Analyse the populated_features field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-023?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need simultaneous string normalisation and grouped numeric summary analytics on feature availability records (populated vs expected features) without any external data enrichment, live lookup, or model inference. Ideal for data quality audits, pipeline monitoring, and feature completeness reporting on batches up to 200 rows at low cost ($0.01 USDC for both reports).
Side effects
- More than 200 rows supplied — request will be rejected (maxItems constraint)
- Missing required fields (row_id, date, dataset_group, populated_features, expected_features) — validation error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- Null values in numeric fields may affect summary statistics
- Invalid field selector (not 'populated_features' or 'expected_features') — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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