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Duplicate Observations Analytics — Base-100 Series & Keyed Dataset Comparison
x402
Duplicate Observations Analytics — Base-100 Series & 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).
Generates two analytical reports (Base-100 indexed time series and keyed dataset comparison) for duplicate-observation metrics (duplicate_rows, total_rows) across up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Base-100 series + Keyed dataset comparison: Base-100 series + 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 computed locally: (1) a Base-100 indexed time series normalizing the selected field (duplicate_rows or total_rows) relative to its baseline value, and (2) a keyed dataset comparison report breaking down metrics by dataset_group. No external lookups or predictions are included.
Example use cases
Monthly duplicate rate trend analysis
“I have 6 months of duplicate_rows and total_rows counts for two data pipelines — can you run a base-100 series on the duplicate_rows field so I can see how each pipeline's duplicate rate has trended relative to its starting point?”
Cross-team dataset quality comparison
“Compare duplicate row counts between our 'warehouse' and 'staging' dataset groups using the keyed dataset comparison report — here are 50 daily records with row_id, date, duplicate_rows, and total_rows for each group.”
Data quality audit before migration
“Before we migrate, I need to know if duplicate observations are worse in group-a or group-b — can you run both the base-100 series and keyed comparison on total_rows for these 30 records across the two groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular duplicate-observation data (duplicate_rows and total_rows per date and group) and need both a normalized baseline-indexed trend and a side-by-side dataset group comparison in a single $0.01 call. It is ideal for offline/batch data quality audits where no live data fetching, prediction, or external enrichment is needed — just local analytical computation on supplied records up to 200 rows.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row causes validation error
- Date values not matching YYYY-MM-DD pattern are rejected
- Numeric fields outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems:1 not met) causes error
- Payment of 0.01 USDC not included or failed — 402 response returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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