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Thesis Milestones — Record Quality Audit + Base-100 Series
x402
Thesis Milestones — Record Quality Audit + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs a data quality audit and Base-100 index rebase on up to 200 rows of thesis milestone records (completed and planned milestones), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Thesis milestones — Record quality audit + Base-100 series: Record quality audit + Base-100 series 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 reports: (1) a record quality audit identifying data issues, anomalies, or completeness problems across the supplied milestone rows; and (2) a Base-100 series rebasing the selected field (completed_milestones or planned_milestones) against the specified base_index row, enabling normalized trend comparison. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
PhD thesis progress quality check
“I have a spreadsheet of thesis milestones for my PhD students — each row has a date, a course group, and counts of completed and planned milestones. Can you audit the data quality and give me a Base-100 series on completed_milestones starting from index 0? I'll paste in up to 50 rows.”
Normalized milestone comparison across cohorts
“I want to compare thesis completion rates across my two student cohorts using a Base-100 index. Can you run the quality audit and Base-100 rebase on my planned_milestones data, using row 3 as the base index reference point?”
Research program milestone data validation
“Before I submit our department's thesis tracking report, can you audit these 120 milestone records for data quality issues and also produce a Base-100 series on the completed_milestones field from index 0 so I can spot trends?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-21-012?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have thesis or academic milestone tabular data (up to 200 rows) and need both a data quality audit and a Base-100 normalized index series in a single low-cost call. It is ideal for education analytics pipelines where you want to validate data integrity and normalize progress metrics simultaneously without external dependencies. Prefer this over generic analytics tools when you specifically need the dual-report format (quality audit + Base-100 rebase) for milestone-type education data.
Side effects
- Exceeds 200-row limit — request rejected; split into smaller batches
- Missing required fields (row_id, date, completed_milestones, planned_milestones) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- base_index out of range (must be 0–199 and within row count) — computation error
- Null values in the selected field may reduce Base-100 series coverage
- Empty rows array — minimum 1 row required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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