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Dataset Storage — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Dataset Storage — Record Quality Audit + 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 2026-10-15).
Audits record quality and computes a secondary-measure weighted mean for up to 200 dataset storage records (used_mb, row_count) in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied dataset storage records (used_mb, row_count). 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: (1) a record quality audit identifying issues such as missing values, format violations, or outliers in the supplied dataset storage rows; and (2) a secondary-measure weighted mean computed for the selected field (used_mb or row_count) across up to 200 rows. No external lookups or predictions are made — all analysis is performed locally on the supplied data.
Example use cases
Storage usage quality check for ETL pipeline
“I have 120 dataset storage records from our ETL pipeline — each has a row_id, dataset_group, date, used_mb, and row_count. Can you audit their quality and compute the weighted mean of used_mb for me?”
Weekly dataset size summary with quality flags
“Here are this week's 80 dataset storage snapshots. Please run a record quality audit and give me the secondary-measure weighted mean of row_count so I can spot anomalies before our Monday report.”
Validating storage records before data warehouse load
“Before we load these 200 dataset storage records into the warehouse, can you do a quality audit and also calculate the weighted mean of used_mb so I know whether the data looks clean and consistent?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a weighted mean statistic on dataset storage records in a single low-cost API call. It is best suited for offline/batch analytical workflows where you supply your own rows (no live data fetch), want two distinct report types for up to 200 rows, and are working specifically with storage metrics (used_mb, row_count). Prefer alternatives if you need deduplication, outlier flagging, string normalization, or more than two report types in one call.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) causes row-level rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Null values for both used_mb and row_count may degrade weighted mean computation
- Payment of 0.01 USDC not confirmed causes 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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