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Thesis Milestones — String Normalisation + Two-Measure Correlation
x402
Thesis Milestones — String Normalisation + 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).
Performs string normalisation and two-measure correlation analysis on thesis milestone records (completed and planned milestones) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Thesis milestones — String normalisation + Two-measure correlation: String normalisation + 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
Two independent analytical reports: (1) a string normalisation report cleaning text fields (row_id, course_group, date) across submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship between completed_milestones and planned_milestones across all submitted rows. Results are derived entirely from the supplied data with no external lookups.
Example use cases
PhD cohort milestone correlation check
“I have tracking data for my PhD cohort across two groups — rows with dates, row IDs, course groups, and both planned and completed milestone counts. Can you normalise the strings and run a two-measure correlation so I can see how well completion tracks against the plan?”
Thesis supervision dashboard analysis
“My thesis supervision spreadsheet has about 150 rows of student milestone data with completed_milestones and planned_milestones per date and group. Run the string normalisation and two-measure correlation reports on it so I can spot patterns.”
Academic programme progress audit
“We've got milestone data for two course groups — group-a and group-b — with dates from last semester. Can you clean up the strings and correlate the completed versus planned milestones across all rows and give me both analytical reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-21-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and correlation analysis on thesis or academic milestone data in a single low-cost call. It is ideal for education analytics workflows where completed and planned milestone counts exist alongside course group and date identifiers, and where offline analytical processing (no live lookups) is sufficient. Prefer it over general-purpose analytics tools when working with structured milestone row data up to 200 records and needing two distinct reports for under $0.01 USDC.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, completed_milestones, planned_milestones) cause validation errors
- Date strings not matching YYYY-MM-DD pattern cause schema rejection
- Null values in both numeric columns may prevent meaningful correlation computation
- Fewer than 2 valid numeric rows could result in degenerate or empty correlation output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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