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Duplicate Observations Analytics — Daily Sum Series + Adjacent Row Changes
x402
Duplicate Observations Analytics — Daily Sum Series + 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 2026-10-20).
Analyzes supplied duplicate-observation records to produce a daily sum series and adjacent row change report, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Daily sum series + Adjacent row changes: Daily sum series + 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
Two analytical reports computed locally from the supplied data: (1) a daily sum series aggregating the chosen field (duplicate_rows or total_rows) by date, and (2) an adjacent row changes report showing the difference between consecutive rows — both covering up to 200 input rows.
Example use cases
Daily duplicate trend audit
“I've got a week's worth of duplicate detection logs across two dataset groups. Can you compute the daily sum series and show me how the duplicate_rows count changes between consecutive days? Here are the records: 2026-11-01 group-a dup=5 total=100, 2026-11-02 group-a dup=12 total=105, 2026-11-03 group-a dup=8 total=102, 2026-11-04 group-a dup=20 total=110 — analyze duplicate_rows.”
Cross-group deduplication comparison
“We have duplicate observation data from two dataset groups over the past few days and I want both the daily sum series and adjacent row change reports. Rows: 2026-10-10 group-x dup=50 total=200, 2026-10-11 group-y dup=30 total=180, 2026-10-12 group-x dup=60 total=210, 2026-10-13 group-y dup=25 total=175. Use the total_rows field for the analysis.”
Spike detection in duplicate counts
“Can you run the daily sum series and adjacent row changes analysis on these duplicate observation records so I can spot any sudden spikes? Entries: 2026-09-01 group-prod dup=100 total=500, 2026-09-02 group-prod dup=102 total=510, 2026-09-03 group-prod dup=300 total=520, 2026-09-04 group-prod dup=105 total=505. Analyze duplicate_rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-137?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected duplicate observation data (duplicate_rows, total_rows) keyed by date and group and want two complementary analytical views — a daily sum series and adjacent row changes — computed offline without any live data lookup or external prediction. It is especially suitable for data quality audits, deduplication monitoring, and time-series trend analysis on small to medium batches (up to 200 rows) at minimal cost ($0.01 USDC for both reports).
Side effects
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) returns a validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit and fails
- Null numeric values may affect aggregation results if not handled upstream
- Empty rows array (minItems: 1 not satisfied) causes schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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