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Thesis Milestones — String Normalisation + Category Frequencies
x402
Thesis Milestones — String Normalisation + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Analyzes thesis milestone records by normalizing strings and computing category frequencies across completed and planned milestones for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Thesis milestones — String normalisation + Category frequencies: String normalisation + Category frequencies 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 normalization report standardizing text fields in the submitted milestone records, and (2) a category frequency report showing how often each course group or category appears across the supplied rows — both computed locally without external lookups.
Example use cases
Thesis progress review by department
“I have 50 thesis milestone records from two departments — each row has a course group, a date, and counts for completed and planned milestones. Can you normalize the text fields and tell me the frequency breakdown by category for those groups?”
Milestone data cleanup for academic report
“Our thesis tracking spreadsheet has inconsistent group name casing and formatting across 120 rows. Can you normalize those strings and also give me a frequency count of how many records fall into each course group?”
Auditing student cohort milestone distribution
“I need to audit milestone completion across three student cohorts — I have 80 rows with row IDs, dates, course groups, and both completed and planned milestone counts. Run the string normalization and category frequency reports on all of them.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-21-024?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have thesis or academic milestone data (up to 200 rows) and need both string normalization and category frequency analysis in a single low-cost call ($0.01 USDC). It is ideal for education analytics workflows where you want to clean inconsistent text labels and understand the distribution of records across course groups without requiring any live data lookup or external computation.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, completed_milestones, planned_milestones) cause row rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Payment not fulfilled results in 402 response
- Null numeric values may affect frequency aggregation output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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