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Join Coverage Analytics: String Normalisation + Numeric Distribution
x402
Join Coverage Analytics: String Normalisation + 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 2026-10-15).
Analyzes join coverage data (matched_rows, source_rows) by producing string normalization and numeric distribution reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — String normalisation + Numeric distribution: String normalisation + Numeric distribution for supplied join coverage records (matched_rows, source_rows). 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 string normalization report summarizing dataset_group and date values across the supplied rows, and (2) a numeric distribution report (e.g. min, max, mean, percentiles, histogram) for the selected numeric field (matched_rows or source_rows), covering up to 200 input rows with no external data lookups.
Example use cases
ETL pipeline join quality audit
“I have a batch of 50 join coverage records from our ETL run last week, each with a row_id, dataset_group, date, matched_rows, and source_rows. Can you give me the string normalization and numeric distribution reports for the source_rows field so I can spot any anomalies?”
Multi-group coverage distribution check
“We have join coverage data across 4 dataset groups from Q3 — about 120 rows total. Can you analyze the matched_rows field and give me the numeric distribution and string normalization breakdown so I can see how evenly coverage is distributed?”
Data quality review for join completeness
“Before we promote this dataset to production, I want to check join completeness. Here are 30 rows with matched_rows and source_rows counts by date and group — can you run the coverage analytics on matched_rows and show me the distribution and normalization reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-022?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local statistical profile of join coverage metrics (matched_rows, source_rows) across up to 200 records, particularly when you want both string normalization and numeric distribution in a single $0.01 call without any external lookup or live data dependency. Prefer it over general analytics APIs when your data fits the join-coverage schema (row_id, dataset_group, date) and you need a lightweight, deterministic analytical report.
Side effects
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, dataset_group, date, matched_rows, or source_rows) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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