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Data Freshness Two-Measure Correlation and Secondary-Measure Weighted Mean
x402
Data Freshness Two-Measure Correlation and 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 2026-10-18).
Computes Pearson correlation between age_minutes and record_count, plus a weighted mean of a chosen secondary measure, across up to 200 data freshness records in a single paid call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data freshness — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean for supplied data freshness records (age_minutes, record_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 statistical reports: (1) a Pearson correlation coefficient between age_minutes and record_count across the submitted rows, and (2) a weighted mean of the selected secondary measure (age_minutes or record_count), computed locally without any external lookup or live data access.
Example use cases
Pipeline freshness health check
“I have up to 50 rows of freshness logs from my ETL pipelines — each has a date, dataset group name, age in minutes, and record count. Can you run a correlation between age_minutes and record_count and also give me a weighted mean for age_minutes across all of them?”
Dataset group staleness comparison
“I want to understand if older data tends to have fewer records across my monitoring groups. I have 120 rows with dates, group labels, age_minutes, and record_count — please compute the two-measure correlation and the weighted mean on record_count.”
Freshness metric summary for weekly report
“For my weekly data quality report, can you take these 80 freshness records covering group-a and group-b and give me both the correlation between age and record count, and a weighted mean of age_minutes?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-06-181?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have your own tabular data freshness records (age_minutes, record_count) and need two lightweight statistical outputs — a correlation and a weighted mean — in a single inexpensive call, without needing live data lookup, prediction, or external enrichment. Ideal for data engineers monitoring pipeline freshness who want a quick statistical snapshot on up to 200 rows.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, age_minutes, record_count) cause validation errors
- Null values in age_minutes or record_count may reduce effective sample size for correlation
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Payment not included or insufficient USDC causes 402 rejection before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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