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Feature Availability Analytics — Exact Row Deduplication + Numeric Distribution
x402
Feature Availability Analytics — Exact Row Deduplication + Numeric Distribution 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 numeric distribution analysis on up to 200 feature availability records (populated_features, expected_features) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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 and removing duplicate rows among the supplied records, and (2) a numeric distribution report summarizing the statistical spread (e.g. min, max, mean, percentiles, frequency buckets) of the selected field (populated_features or expected_features) across up to 200 rows. No external lookups or predictions are made — all computation is local.
Example use cases
Feature completeness audit across dataset groups
“I have 120 feature availability records split across three dataset groups from last quarter — can you deduplicate them and show me the numeric distribution of populated_features so I know if any groups are over- or under-populated?”
Detecting duplicate entries in a feature log
“We exported our feature availability log for November and suspect there are duplicate row entries — can you run exact row deduplication on these 80 records and also give me the distribution of expected_features values?”
Comparing expected vs actual feature population
“I need a quick analytics run on 45 feature availability rows from group-b dated between 2026-09-01 and 2026-09-30 — please deduplicate them and show the numeric distribution for the expected_features field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-039?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and numeric distribution statistics on feature availability data in a single cost-efficient call (2 reports for $0.01 USDC). It is ideal for offline/batch data quality checks on datasets up to 200 rows where no live lookup, prediction, or external action is required. Prefer alternatives if you need more than 200 rows, real-time enrichment, or analysis of non-feature-availability domains.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, populated_features, expected_features) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern mismatch error
- Numeric values outside allowed range (-1T to +1T) rejected
- Empty rows array returns error or empty reports
- Invalid field enum value (not populated_features or expected_features) causes schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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