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Dataset Partition Sizes — Base-100 Series + Two-Measure Correlation
x402
Dataset Partition Sizes — Base-100 Series + Two-Measure Correlation 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).
Generates a base-100 index series and a two-measure correlation report for dataset partition size records (row_count, file_mb) — up to 200 rows, two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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
Returns two analytical reports: (1) a base-100 index series for the chosen field (row_count or file_mb) relative to the specified base_index position, showing each row's value as a percentage of the baseline; (2) a two-measure correlation report quantifying the linear relationship between row_count and file_mb across all supplied rows. Both reports are computed locally with no external data access.
Example use cases
Baseline index for partition growth
“I have a list of dataset partitions with their row counts and file sizes per day — can you build me a base-100 index series for row_count starting from the first entry, and also show me how strongly row_count and file_mb are correlated? Here are 5 partitions across two groups from October 2026.”
Storage efficiency correlation check
“For my data warehouse partitions, I want to know if larger file sizes actually correspond to more rows — run a two-measure correlation between row_count and file_mb on these 12 partition records, and also normalize the file_mb column into a base-100 series from index 0.”
Group-level partition trend analysis
“I'm tracking dataset partitions across group-a and group-b over the last quarter — please produce a base-100 index on file_mb starting at position 0, plus give me the correlation between file_mb and row_count for all these rows so I can see if the two measures move together.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a normalized time-series index (base-100) and a cross-measure correlation in a single call for dataset partition metadata (row counts and file sizes). It is purpose-built for data engineering and ETL monitoring workflows where you want to track partition growth relative to a baseline and quantify the relationship between file size and row count — without needing external data lookups or live system access. Ideal for lightweight, low-cost ($0.01) analytical passes over up to 200 partition records.
Side effects
- Fewer than 1 row supplied — request rejected (minItems: 1)
- More than 200 rows supplied — request rejected (maxItems: 200)
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) — validation error
- base_index out of range (0–199) — error or undefined baseline
- Non-numeric values in row_count or file_mb where numbers are required — null handling may affect correlation
- Date strings not matching YYYY-MM-DD pattern — validation error
- Correlation undefined when all values in one measure are identical (zero variance)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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