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Thesis Milestones Record Quality Audit + Two-Measure Correlation
x402
Thesis Milestones Record Quality Audit + 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 2026-10-28).
Runs a record quality audit and a two-measure correlation analysis on up to 200 rows of thesis milestone data (completed_milestones, planned_milestones), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Thesis milestones — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation for supplied thesis milestones records (completed_milestones, planned_milestones). 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, nulls, or anomalies in the supplied milestone rows, and (2) a two-measure correlation report quantifying the statistical relationship between completed_milestones and planned_milestones. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Dissertation progress data quality check
“I have a spreadsheet of thesis milestones for my grad students — each row has a date, course group, and counts of planned vs completed milestones. Can you audit the data quality and tell me if completed and planned milestones are correlated? I have about 80 rows.”
Comparing planned vs actual milestone completion rates
“Run a correlation analysis on my thesis tracking data to see if students who plan more milestones actually complete more. I'll provide up to 150 rows with course group labels, dates, and both planned and completed milestone counts.”
Detecting bad records in milestone tracking dataset
“I need a record quality audit on my thesis milestone dataset — there might be nulls, outliers, or malformed entries. The data has row IDs, dates, course groups, and planned vs completed milestone numbers, about 120 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-21-015?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular thesis milestone data (completed vs planned) and need both a data quality audit and a correlation analysis in a single low-cost call. It is ideal for educators, researchers, or academic data pipelines that track milestone completion and want to validate data integrity and measure the relationship between planned and actual progress — all offline without any external data lookups or predictions.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, course_group) causes row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Null or out-of-range numeric values for milestones may affect correlation output
- Empty rows array returns an error
- Payment not included or insufficient USDC results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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