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Join Coverage — Numeric Row Ordering + Base-100 Series
x402
Join Coverage — Numeric Row Ordering + Base-100 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).
Computes numeric row ordering and a base-100 index series for join coverage records (matched_rows, source_rows) supplied by the caller, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Join coverage — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 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) a numeric row ordering of the supplied join coverage records ranked by the selected field (matched_rows or source_rows), and (2) a base-100 index series showing how the selected metric evolves relative to the base row, both computed locally without any external data lookups. Up to 200 rows are supported per call.
Example use cases
Monitoring join quality trends over time
“I want to see how my join coverage has changed week over week — can you take these 20 daily records with matched_rows and source_rows, rank them numerically by matched_rows, and give me a base-100 index series so I can see the trend relative to the first row?”
Comparing coverage across dataset groups
“I have join coverage data for three dataset groups across the last month. Can you rank all the rows by source_rows and produce a base-100 index starting at row 0 so I can compare how each group's coverage scales relative to the baseline?”
Auditing a data pipeline's match rate
“We ran a data pipeline and got these join coverage records — 50 rows with matched_rows and source_rows per batch. Can you give me a numeric ordering by matched_rows and index everything to base-100 from row index 0 so I can quickly spot which batches performed worst?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-09-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected join coverage data (matched_rows and source_rows) and need both a numeric ranking and a base-100 index series in a single call. It is ideal for offline/batch analytical workflows where you supply your own data and want two complementary views — ordered ranking and normalized indexing — without any external lookups or live data fetching. Prefer it over single-report endpoints when you need both ordering and indexing together at low cost.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, dataset_group, matched_rows, source_rows) — validation error
- Date field not in YYYY-MM-DD format — schema validation failure
- base_index out of range (0–199) — rejected
- Invalid field value (not 'matched_rows' or 'source_rows') — enum validation error
- Payment not completed — x402 payment required error before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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