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Join Coverage Duplicate Key Report & Secondary-Measure Weighted Mean
x402
Join Coverage Duplicate Key Report & Secondary-Measure Weighted Mean 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 records (matched_rows, source_rows) to produce a duplicate key report and a secondary-measure weighted mean — two analytical reports from a single batch of up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Duplicate key report + Secondary-measure weighted mean: Duplicate key report + Secondary-measure weighted mean 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
Two analytical reports: (1) a duplicate key report identifying any repeated row identifiers within the supplied join coverage records, and (2) a weighted mean of the chosen secondary measure (matched_rows or source_rows) computed across the submitted rows — both derived entirely from the supplied data with no external lookups.
Example use cases
ETL pipeline join audit
“After my ETL run today I have 50 join coverage records across three dataset groups. Can you check them for duplicate row IDs and also give me the weighted mean of matched_rows? Here are the rows with their dates, source_rows, and matched_rows values.”
Data merge duplicate detection
“I merged two datasets and ended up with 120 join coverage records — some row IDs might appear more than once. Please run a duplicate key report and compute the weighted mean of source_rows across all these records.”
Coverage quality summary by group
“I need to understand the quality of my join coverage across two groups: group-a and group-b. I have 80 records with matched_rows and source_rows for each. Can you detect any duplicate keys and calculate the secondary-measure weighted mean for matched_rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-067?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 join coverage records and need both a duplicate key report and a weighted mean computed together in a single paid call. It is ideal for lightweight, local analytical checks on join results without needing a full data warehouse query — particularly useful for ETL auditing, data merge validation, and coverage quality summaries where both deduplication insight and a weighted aggregate metric are needed simultaneously.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, dataset_group, date, matched_rows, source_rows) cause row-level rejection
- Invalid field enum value (not matched_rows or source_rows) returns error
- Null values for both matched_rows and source_rows may produce undefined weighted mean output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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