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Join Coverage Analytics — Exact Row Deduplication + Daily Sum Series
x402
Join Coverage Analytics — Exact Row Deduplication + Daily Sum Series 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).
Deduplicates exact rows and computes daily sum time series for join coverage data (matched_rows, source_rows) across up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum series 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 analytical reports: (1) an exact row deduplication result identifying and removing duplicate records from the supplied join coverage rows, and (2) a daily sum time series aggregating the selected field (matched_rows or source_rows) by date, enabling trend analysis across dataset groups.
Example use cases
Daily join match quality audit
“I've got a list of join coverage records for two dataset groups over the past week — can you deduplicate any exact duplicate rows and show me the daily sum of matched_rows so I can see which days had the highest coverage?”
Source row completeness check by date
“Here are 150 join coverage records across three dataset groups. Please deduplicate them and compute the daily sum series for source_rows so I can track how many source rows were present each day.”
Multi-group coverage trend analysis
“I need to clean up my join coverage dataset and understand coverage trends — run exact deduplication and give me the daily totals for matched_rows across my group-a and group-b records for October 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-044?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 join coverage records with matched_rows and source_rows fields and need both exact duplicate removal and a daily aggregated time series in a single call. It is ideal for data quality pipelines, ETL validation steps, and coverage trend reporting where you supply the data directly and need two complementary analytical outputs cheaply ($0.01 USDC). Not suitable for live data lookups, predictions, or datasets larger than 200 rows.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error
- Empty rows array — minimum 1 item required
- Payment failure — 0.01 USDC not provided via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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