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Feature Availability Analytics — Duplicate Key Report + Equal-Width Histogram
x402
Feature Availability Analytics — Duplicate Key Report + Equal-Width Histogram 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 two local analytical reports on feature availability data: a duplicate key report and an equal-width histogram, for up to 200 rows of populated/expected feature counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Duplicate key report + Equal-width histogram: Duplicate key report + Equal-width histogram 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 supplied data, and (2) an equal-width histogram over the selected numeric field (populated_features or expected_features) with up to 30 configurable bins, showing bin ranges and row counts. All computation is performed locally on the supplied data — no external lookups or live data.
Example use cases
Data quality audit for ML feature store
“I need to check my feature store snapshot for duplicate row IDs and see how populated_features are distributed — can you run a duplicate key report and a 5-bin histogram on these 80 records I'm giving you?”
Histogram of expected feature counts by group
“I have 150 rows of feature availability data across several dataset groups and I want a 10-bin equal-width histogram of the expected_features field to understand the distribution — can you run that analysis?”
Pre-pipeline data validation check
“Before I push this feature availability batch to production, can you scan it for duplicate row IDs and give me a frequency histogram with 8 bins on the populated_features column? I'll paste the 60 rows now.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-064?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, cheap ($0.01 USDC) dual-report on a small-to-medium feature availability dataset (up to 200 rows) and want both a duplicate key check and a histogram in a single call. It is ideal for data quality validation before ML pipelines, feature store audits, or EDA on feature coverage metrics. Not suitable for datasets exceeding 200 rows, live data lookups, predictive analytics, or statistical tests beyond basic frequency analysis.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, populated_features, expected_features) causes schema rejection
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation failure
- Setting bins outside 1–30 range is rejected
- Null values in the selected numeric field may be excluded from histogram computation
- Payment failure via x402 protocol blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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