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Feature Availability Analytics: Duplicate Key Report + Grouped Numeric Summary
x402
Feature Availability Analytics: Duplicate Key Report + 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 2026-10-20).
Analyzes up to 200 feature availability records to produce two reports: a duplicate key report and a grouped numeric summary across populated_features and expected_features fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Duplicate key report + Grouped numeric summary: Duplicate key report + 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 duplicate key report identifying any row_id values that appear more than once in the submitted records, and (2) a grouped numeric summary aggregating the selected numeric field (populated_features or expected_features) by dataset_group, including statistics like counts, totals, and averages per group. Both reports are computed locally with no external data lookups.
Example use cases
Audit ML pipeline feature completeness
“I have 120 rows from my ML pipeline tracking populated_features and expected_features per dataset group and date — can you run a duplicate key check and a grouped numeric summary on them so I can see if any row IDs are duplicated and how each group is performing on average?”
Spot duplicate keys in ETL output
“My ETL job just produced a batch of feature availability records and I need to know if there are any duplicate row_ids in there — can you run the duplicate key report on these 80 rows and also give me a grouped summary of the expected_features field by dataset_group?”
Compare feature population across dataset groups
“I want to compare how well features are being populated across my three dataset groups — here are 150 rows with populated_features and expected_features values, can you give me a grouped numeric summary and flag any duplicate row IDs at the same time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-056?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously detect duplicate row keys and compute grouped numeric statistics on feature availability data in a single low-cost call. It is ideal for ETL quality checks, ML feature store audits, and dataset completeness monitoring where you have up to 200 rows and want both a data integrity check and a summary rollup without any external API dependencies or live data lookups.
Side effects
- Empty rows array — minimum 1 row required
- Rows exceeding 200 items — payload rejected
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, dataset_group, date, populated_features, expected_features) — row rejected
- Invalid field selector — must be 'populated_features' or 'expected_features'
- row_id exceeding 80 characters — validation error
- numeric values outside allowed range (-1T to +1T) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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