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Dataset Partition Sizes — Category Frequencies + Adjacent Row Changes
x402
Dataset Partition Sizes — Category Frequencies + 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 dataset partition size records (row_count, file_mb) producing two local analytical reports: category frequency distribution and adjacent row change detection.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes for supplied dataset partition sizes records (row_count, file_mb). 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 independent analytical reports: (1) category frequency table showing how often each dataset_group value appears across the supplied rows, and (2) adjacent row changes report showing the delta in the selected numeric field (row_count or file_mb) between consecutive records. Results are computed locally with no external lookups.
Example use cases
Partition growth audit for ETL pipeline
“I have a list of daily dataset partition records with row counts and file sizes grouped by table name — can you run category frequency and adjacent row change analysis on them so I can see which tables appear most and how row counts are shifting day over day?”
File size anomaly detection across groups
“Here are 50 partition snapshot records with file_mb values — run the two-report analysis on file_mb so I can see the frequency of each dataset group and flag any big jumps or drops between consecutive records.”
Data quality check on partition metadata
“I want to validate my partition size logs — send these records through category frequency and adjacent row change analysis on row_count so I can spot uneven group distributions and sudden row count spikes.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-104?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two quick, local statistical reports — category frequency counts and sequential row-to-row change detection — on dataset partition size records without requiring any external data sources, live lookups, or ML predictions. Ideal for lightweight data engineering audits on up to 200 rows at very low cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 or more than 200 rows submitted — validation error
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) — schema validation failure
- Date field not in YYYY-MM-DD format — pattern validation error
- Numeric fields (row_count, file_mb) out of allowed range — validation error
- Payment not included or insufficient USDC — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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