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Feature Availability Duplicate Key Report + Date by Category Pivot
x402
Feature Availability Duplicate Key Report + Date by Category Pivot 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 — a duplicate key report and a date-by-category pivot — 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 — Duplicate key report + Date by category pivot: Duplicate key report + Date by category pivot 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 duplicate key report identifying any repeated row_id values within the supplied records, and (2) a date-by-category pivot table breaking down the selected field (populated_features or expected_features) by date and dataset_group — all computed locally without external lookups, covering up to 200 input rows.
Example use cases
Data quality check for ML pipeline
“I have a dataset of feature availability records with row IDs, dataset groups, dates, and counts of populated vs expected features — can you run a duplicate key report on them so I can catch any repeated row_ids before I feed this into my ML pipeline?”
Date-category pivot for feature completeness review
“Can you pivot my feature availability records by date and dataset group so I can see how populated_features breaks down across different groups over time? I've got about 150 rows across group-a and group-b spanning October 2026.”
Audit expected vs populated features
“I need to audit my feature availability dataset — run both a duplicate key report and a date-by-category pivot on these records so I can spot data gaps and any duplicated entries in one go. The field I care about is expected_features.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-068?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 feature availability records and need both a duplicate key integrity check and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for data quality audits on feature engineering pipelines where you want local analytical computation with no external API dependencies or live data lookups.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- row_id missing or empty string (minLength:1) causes validation error
- populated_features or expected_features values outside ±1,000,000,000,000 range are rejected
- Invalid field enum value (only 'populated_features' or 'expected_features' accepted)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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