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Feature Availability Analytics — Exact Row Deduplication + Base-100 Series
x402
Feature Availability Analytics — Exact Row Deduplication + Base-100 Series 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).
Runs exact row deduplication and a base-100 indexed series report on up to 200 feature availability records (populated_features vs expected_features) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series 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 analytical reports for the supplied rows: (1) an exact row deduplication result identifying and removing duplicate records, and (2) a base-100 indexed series for the selected field (populated_features or expected_features), anchored at the specified base_index row. Both reports are computed locally without external lookups.
Example use cases
Deduplicating ML pipeline feature logs
“I have 120 rows of daily feature availability logs from our ML pipeline with populated_features and expected_features columns — can you remove exact duplicate rows and give me a base-100 series on populated_features, anchoring the index at row 0?”
Monitoring feature completeness over time
“Run an indexed series report on expected_features for my 80-row dataset, using base index position 0, so I can see how feature expectations have trended relative to that starting point across my two dataset groups.”
Auditing dataset group feature fill rates
“I need to audit feature fill rates across group-a and group-b for Q4 2026 — can you deduplicate my 200 feature availability records and generate a base-100 series on populated_features anchored at index 0?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact duplicate row removal and a base-100 normalized index series on feature availability data in a single low-cost call. Ideal for data quality audits on small-to-medium datasets (≤200 rows) where no live lookup or prediction is needed — purely supply-your-own-data analytical computation at $0.01 USDC per call.
Side effects
- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, date, populated_features, expected_features) — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- base_index out of range (0–199) — parameter error
- All rows are duplicates leaving empty result set
- null values in numeric fields may affect series computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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