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Duplicate Observations Analyzer — Adjacent Row Changes + Keyed Dataset Comparison
x402
Duplicate Observations Analyzer — Adjacent Row Changes + 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 2026-10-18).
Analyzes duplicate observation records (duplicate_rows, total_rows) with two independent local reports: adjacent row change detection and keyed dataset comparison across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Adjacent row changes + Keyed dataset comparison: Adjacent row changes + Keyed dataset comparison 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) an adjacent row change report showing how duplicate_rows or total_rows values shift between consecutive rows, and (2) a keyed dataset comparison report matching rows by key between the primary and secondary dataset to highlight differences in duplicate observation counts. All analysis is performed locally with no external lookups.
Example use cases
Audit duplicate count drift between ETL runs
“I ran two ETL jobs this week and want to compare duplicate_rows counts between them — can you run both the adjacent row changes and keyed comparison reports on these two datasets (up to 80 rows each) grouped by pipeline_stage and dated daily?”
Monitor duplicate spikes across dataset groups
“I have a daily log of duplicate_rows and total_rows across three dataset groups for October, about 90 rows total — run the adjacent row change analysis on duplicate_rows so I can see where the counts spiked day over day.”
Cross-version data quality comparison
“Compare my two snapshots of duplicate observation records — one from last week and one from this week, each about 60 rows keyed by row_id and dataset_group — and tell me which rows have different duplicate_rows values between the two versions.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-161?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured duplicate observation records (with duplicate_rows and total_rows) and need both adjacent-row trend detection and a keyed cross-dataset comparison in a single low-cost call. Ideal for data quality audits where you want to compare two snapshots of the same dataset by key without external dependencies. Not suitable for real-time data lookups, predictions, or analysis of more than 200 rows per call.
Side effects
- Input rows array empty or missing — minItems:1 not satisfied
- Row count exceeds 200 — maxItems limit exceeded
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row
- Date field does not match YYYY-MM-DD pattern
- numeric values out of allowed range (±1,000,000,000,000)
- Payment of 0.01 USDC not provided — x402 payment required
- field enum value not one of duplicate_rows or total_rows
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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