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Dataset Partition Sizes — Base-100 Series + Secondary-Measure Weighted Mean
x402
Dataset Partition Sizes — Base-100 Series + Secondary-Measure Weighted Mean 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).
Computes a Base-100 index series and a secondary-measure weighted mean for dataset partition records (row_count, file_mb) supplied by the caller, using local analytical engines with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean 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 showing how the chosen field (row_count or file_mb) evolves relative to the designated base row, and (2) a secondary-measure weighted mean across partition records, computed locally without external data sources. Up to 200 input rows are supported per call.
Example use cases
Baseline growth trend for ETL pipeline
“I have my ETL pipeline's daily partition stats for the last month — row counts and file sizes per dataset group. Can you produce a Base-100 index series for row_count starting from day one so I can see how each group has grown relative to that baseline?”
Weighted mean file size across data warehouse partitions
“Here are 80 partition records from our data warehouse with file_mb values across several dataset groups. I need a weighted mean of file_mb so I can understand the average partition weight — can you run that secondary-measure report?”
Monitoring dataset size normalization over quarters
“I've got partition size records for three dataset groups covering Q1 through Q3, with both row counts and megabyte sizes. Please rebase the row_count to 100 at index position 5 and also give me the weighted mean — I want both reports in one shot.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-166?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 dataset partition records (with row_count and file_mb fields) and need both a Base-100 index series and a weighted mean computed together in a single $0.01 call. It is ideal for data engineers monitoring partition growth trends or normalizing sizes relative to a baseline row, without requiring any external data lookups or live database connections.
Side effects
- Input array is empty or missing — minItems:1 required
- More than 200 rows supplied — maxItems:200 enforced
- base_index out of range (0–199) relative to actual row count
- Required row fields (row_id, dataset_group, date, row_count, file_mb) missing or malformed
- date field does not match YYYY-MM-DD pattern
- Numeric fields outside allowed range (-1e12 to 1e12)
- Invalid field enum value — must be 'row_count' or 'file_mb'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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