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Duplicate Observations — Adjacent Row Changes + Explicit Missing-Value Fill
x402
Duplicate Observations — Adjacent Row Changes + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Analyzes duplicate observation records by computing adjacent row changes and filling missing values (zero, mean, or median) for duplicate_rows or total_rows fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill 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 analytical reports per call: (1) an adjacent row change report showing period-over-period deltas for the selected field (duplicate_rows or total_rows), and (2) an explicit missing-value fill report replacing nulls in the selected field using the chosen method (zero, mean, or median). Covers up to 200 input rows processed locally without external lookups.
Example use cases
Data pipeline deduplication audit
“I've got a series of dataset quality records showing duplicate_rows and total_rows counts per day for two groups. Can you compute how duplicate_rows changed between consecutive rows and fill any missing values using the median method?”
ETL job missing-value cleanup
“My ETL pipeline produced 150 rows of duplicate observation stats across multiple dataset groups, but some duplicate_rows values are null — please fill those nulls using the mean and also show me adjacent row changes for the total_rows field.”
Data quality monitoring report
“I'm tracking duplicate counts across dataset groups over the last quarter — here are 80 daily records with row_id, date, dataset_group, duplicate_rows, and total_rows. Can you generate both the adjacent changes report and zero-fill any missing duplicate_rows values?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-162?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need local, offline-style analytical computation on duplicate observation records — specifically when you want both adjacent row change detection and missing-value imputation in a single call without external data lookups or predictions. Ideal for data quality pipelines auditing deduplication metrics across time-series records grouped by dataset category.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, duplicate_rows, or total_rows) on any row
- Date strings not matching YYYY-MM-DD pattern
- Invalid field enum value (must be duplicate_rows or total_rows)
- Invalid method enum value (must be zero, mean, or median)
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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