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Feature Availability Analytics — Numeric Row Ordering + Keyed Dataset Comparison
x402
Feature Availability Analytics — Numeric Row Ordering + Keyed Dataset Comparison 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: numeric row ordering and keyed dataset comparison across up to 200 rows of populated_features and expected_features.
Price / call$0.01
Success—
StatusUnknown
How this service works
Feature availability — Numeric row ordering + Keyed dataset comparison: Numeric row ordering + Keyed dataset comparison 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 numeric row ordering of the input records sorted by the selected field (populated_features or expected_features), and (2) a keyed dataset comparison report identifying differences between the primary and secondary datasets matched by row_id and dataset_group. All computation is local with no external lookups.
Example use cases
Feature completeness audit across pipeline runs
“I have two snapshots of feature availability data from different pipeline runs — up to 150 rows each with row_id, dataset_group, date, populated_features, and expected_features. Can you rank the rows by populated_features and show me a keyed comparison between the two snapshots so I can see where coverage dropped?”
Monitoring expected vs populated feature gaps
“Here are 80 rows of feature availability records with row_id, dataset_group, date, expected_features, and populated_features. Rank them numerically by expected_features and compare them against my baseline dataset keyed by row_id so I can spot which groups are consistently under-populated.”
Cross-team dataset feature coverage comparison
“My two teams each produced a set of feature availability records — about 100 rows each, with row_id, dataset_group, date, populated_features, and expected_features. Please rank both sets by populated_features and give me a keyed comparison so I can see where Team A and Team B diverge.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-10-123?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a ranked ordering of feature availability rows AND a side-by-side keyed comparison of two datasets in a single call, without needing live data lookups or external predictions. It is best suited for batch data quality audits, ETL pipeline monitoring, and feature coverage tracking where you already have the data and want structured analytical outputs at low cost ($0.01 USDC for both reports).
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, dataset_group, date, populated_features, expected_features) cause row-level errors
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in numeric fields may be excluded from ordering calculations
- Mismatched row_ids between primary and secondary datasets result in unmatched rows in comparison report
- Payment not provided or insufficient USDC causes 402 rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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