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Feature Availability Analytics: Exact Row Deduplication + Equal-Width Histogram
x402
Feature Availability Analytics: Exact Row Deduplication + 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).
Analyzes feature availability records by performing exact row deduplication and generating an equal-width histogram on populated_features or expected_features values, returning two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Exact row deduplication + Equal-width histogram: Exact row deduplication + 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) an exact row deduplication report identifying and removing duplicate rows from the supplied feature availability records, and (2) an equal-width histogram report showing the frequency distribution of the selected field (populated_features or expected_features) divided into the specified number of bins. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Feature completeness audit for ML pipeline
“I have 50 feature availability records from my ML pipeline across groups train and test, dated from 2026-01-01 to 2026-03-31 — deduplicate them and show me a 5-bin histogram on populated_features so I can see how complete my feature set is.”
Detecting duplicate data ingestion entries
“My data ingestion job may have created duplicates in my feature availability log — can you run exact row deduplication on these 120 rows and also give me a 10-bin equal-width histogram on expected_features to see the distribution?”
Dataset group coverage distribution analysis
“I want to understand the distribution of expected feature counts across my three dataset groups — can you deduplicate these 80 feature availability rows and generate a histogram with 8 bins on the expected_features field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-048?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact duplicate detection and a frequency distribution histogram on feature availability data in a single $0.01 call. It is ideal for ML data quality workflows where you need to audit feature completeness records for duplicates and understand value distributions simultaneously. Prefer this over separate deduplication or histogram tools when your dataset has up to 200 rows and contains populated_features and expected_features columns.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes validation error
- Missing required fields (row_id, populated_features, expected_features) triggers schema validation failure
- bins value outside 1-30 range causes parameter rejection
- Null values in the selected histogram field may affect bin calculation
- Payment failure or insufficient USDC balance blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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