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Feature Availability Analytics: Exact Row Deduplication + Adjacent Row Changes
x402
Feature Availability Analytics: Exact Row Deduplication + Adjacent Row Changes 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).
Performs exact row deduplication and adjacent row change detection on feature availability records (populated_features, expected_features) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes 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
Two independent analytical reports: (1) an exact row deduplication report identifying which of the supplied rows are exact duplicates, and (2) an adjacent row changes report showing where consecutive rows differ in the selected field (populated_features or expected_features). Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Deduplication audit for ML feature pipeline
“I have a batch of 50 feature availability records tagged by date and dataset group — can you run exact row deduplication on them using populated_features as the field so I can clean up my ML pipeline before training?”
Detecting feature count drift between consecutive dates
“I need to find where expected_features changed between consecutive rows in my dataset — run the adjacent row changes report on these 120 records grouped by dataset_group and date.”
Data quality check on populated vs expected features
“Can you check my feature availability log for both duplicate rows and day-over-day changes? I have records for 3 groups over the past month and I want both the deduplication and adjacent change reports for populated_features.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-046?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and adjacent row change detection on feature availability records in a single low-cost call ($0.01 USDC for both reports). It is best suited for datasets up to 200 rows where all data is supplied directly (no live lookups needed). Prefer this over general-purpose analytics tools when your data specifically tracks populated_features and expected_features by date and dataset_group, and you want structured, reproducible local analysis without sending data to an external prediction or ML service.
Side effects
- More than 200 rows submitted — request rejected with maxItems validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, dataset_group, date, populated_features, expected_features) — request rejected
- field enum value not in ['populated_features','expected_features'] — validation error
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array (minItems:1 not met) — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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