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Join Coverage Duplicate Key Report + Keyed Dataset Comparison
x402
Join Coverage Duplicate Key Report + 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 2026-10-19).
Analyzes join coverage data to detect duplicate keys and compare two keyed datasets across matched_rows and source_rows metrics, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Duplicate key report + Keyed dataset comparison: Duplicate key report + Keyed dataset comparison 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 duplicate key report identifying any repeated row_id or key combinations within the supplied dataset groups, and (2) a keyed dataset comparison showing differences in matched_rows and source_rows values between the primary and secondary datasets. Up to 200 rows are analyzed per dataset using local analytical engines with no external lookups.
Example use cases
ETL pipeline join key audit
“I just ran a join in my ETL pipeline and I want to check for duplicate keys and compare the matched_rows versus source_rows across group-a and group-b for dates 2024-01-01 through 2024-01-04 — can you give me a duplicate key report and a side-by-side dataset comparison?”
Data warehouse coverage drift check
“We have two snapshots of our join coverage table — one from yesterday and one from today — each with around 50 rows tagged by dataset_group. Can you detect any duplicate row IDs and compare the matched_rows and source_rows counts between the two snapshots?”
Validate deduplication before merge
“Before I merge these two keyed datasets, I need to confirm there are no duplicate keys and see where their join coverage numbers differ — both datasets have about 80 rows with row_id, date, dataset_group, matched_rows, and source_rows fields. Can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-069?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to simultaneously check for duplicate keys and compare two versions or variants of a join coverage dataset (matched_rows vs source_rows) in a single low-cost call. It is ideal for data engineers validating ETL join outputs, analysts auditing data quality before merges, or anyone needing both duplicate detection and cross-dataset diff in one operation on up to 200 rows without sending data to external systems.
Side effects
- Rows array empty or missing — minItems:1 not met
- Row objects missing required fields (row_id, dataset_group, date, matched_rows, source_rows)
- Date field does not match YYYY-MM-DD pattern
- More than 200 rows submitted — maxItems:200 exceeded
- row_id exceeds 80 characters or is empty (minLength:1)
- Numeric fields outside allowed range (-1e12 to 1e12)
- Payment not included or insufficient — requires $0.01 USDC via x402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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