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Duplicate Observations Analytics: Numeric Row Ordering + Adjacent Row Changes
x402
Duplicate Observations Analytics: Numeric Row Ordering + Adjacent Row Changes 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 duplicate observation data (duplicate_rows, total_rows) by computing numeric row ordering and detecting adjacent row changes across up to 200 records, delivering two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes for supplied duplicate observations records (duplicate_rows, total_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 numeric row ordering of the submitted records ranked by the selected field (duplicate_rows or total_rows), and (2) an adjacent row changes report showing how the selected field value shifts between consecutive rows — all computed locally with no external lookups.
Example use cases
Spotting duplicate spikes in ETL pipeline
“Here are 50 daily ETL run records with duplicate_rows and total_rows counts — can you rank them numerically by duplicate_rows and show me where the biggest jumps happen between consecutive days?”
Auditing dataset group deduplication trends
“I've got records for dataset groups 'sales' and 'returns' across 30 dates. Run the numeric row ordering and adjacent row changes analysis on total_rows so I can see which group has the most volatile duplicate behavior.”
Weekly duplicate count change detection
“Can you analyze these 12 weekly duplicate observation records and give me both the numeric ordering by duplicate_rows and the adjacent row changes report so I can identify which weeks had unusual spikes?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-116?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical perspectives on duplicate observation data — numeric ordering and adjacent change detection — in a single $0.01 call. It is ideal for data quality audits, ETL pipeline monitoring, or deduplication tracking where you want rank-ordered views alongside row-to-row change signals, without needing external data sources, predictions, or professional assessments.
Side effects
- Fewer than 1 row submitted — minItems violation returns validation error
- More than 200 rows submitted — maxItems violation returns validation error
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in numeric fields may affect ordering and change calculations
- Invalid field enum value (anything other than 'duplicate_rows' or 'total_rows') causes rejection
- Extremely large numeric values near boundary (±1,000,000,000,000) may cause precision issues
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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