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Feature Availability Analytics: Quality Audit + Deduplication + Interval Filter
x402
Feature Availability Analytics: Quality Audit + Deduplication + Interval Filter 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).
Runs three local analytical reports on feature availability records: record quality audit, exact row deduplication, and numeric interval filtering for populated_features or expected_features values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter for supplied feature availability records (populated_features, expected_features). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports computed locally from the supplied rows: (1) a record quality audit summarizing data completeness and anomalies across populated_features and expected_features, (2) an exact row deduplication report identifying and removing duplicate records, and (3) a numeric interval filter report returning only rows where the selected field (populated_features or expected_features) falls within the specified minimum–maximum range. All reports are derived from the input data only — no external lookups are performed.
Example use cases
Audit ML feature store data quality
“I have up to 200 rows of feature availability records with row IDs, dataset groups, dates, and populated vs expected feature counts — can you run a record quality audit plus deduplicate exact rows and filter populated_features between 5 and 100?”
Deduplicate feature availability exports
“My feature availability export for dataset groups 'train' and 'test' has some suspected duplicate rows — can you run exact row deduplication along with a quality audit and a range filter on expected_features from 1 to 500?”
Filter and validate feature coverage metrics
“Can you check these feature availability records for group-a — I want a quality audit, dedup check, and only keep rows where populated_features is between 10 and 200?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-214?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 feature availability records and need all three of: record quality auditing, exact duplicate detection, and numeric range filtering — in a single cost-efficient call ($0.01 USDC for all three reports). Ideal for ML/data engineering pipelines that need lightweight, self-contained analytics without external data lookups, predictions, or side effects. Not suitable for large datasets exceeding 200 rows, live data enrichment, or probabilistic deduplication.
Side effects
- Rows array empty or missing — minimum 1 row required
- More than 200 rows submitted — batch size limit exceeded
- Invalid date format (must be YYYY-MM-DD)
- row_id missing or empty string — required field
- Numeric values for populated_features or expected_features out of allowed range (±1 trillion)
- minimum greater than maximum for interval filter — may return empty filter results
- field enum value not recognized — must be 'populated_features' or 'expected_features'
- Payment of 0.01 USDC not provided or rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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