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Thesis Milestones Data Quality Analyzer
x402
Thesis Milestones Data Quality Analyzer 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 three local analytical reports on thesis milestone records: record quality audit, exact row deduplication, and equal-width histogram — no external lookups or predictions.
Price / call$0.01
Success—
StatusUnknown
How this service works
Thesis milestones — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram for supplied thesis milestones records (completed_milestones, planned_milestones). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging null values, format issues, and anomalies; (2) an exact row deduplication report identifying duplicate rows; and (3) an equal-width histogram over the specified numeric field (completed_milestones or planned_milestones) with the requested number of bins. All computed locally from submitted data, no external data sources used.
Example use cases
Thesis progress data quality check
“I have 80 rows of thesis milestone data across several course groups and I need to check for quality issues, find any exact duplicates, and see a histogram of planned_milestones with 8 bins — can you run all three reports at once?”
Deduplicating milestone submission records
“Our thesis tracking system exported 150 milestone records and I suspect there are duplicate submissions. Can you audit the data quality, flag any exact duplicate rows, and also give me a histogram of completed_milestones using 5 bins?”
Milestone completion distribution analysis
“I want to understand the distribution of completed milestones across my 60 thesis records. Can you run the quality audit, deduplicate the dataset, and give me an equal-width histogram with 15 bins for the completed_milestones field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-21-219?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous data quality operations on thesis milestone data (quality audit, deduplication, and histogram) in a single low-cost call. It is ideal for education analytics workflows that need to validate and explore milestone completion and planning data without any external API calls, predictions, or professional assessments. Best for datasets up to 200 rows where local, deterministic computation is sufficient.
Side effects
- More than 200 rows submitted — request rejected, must batch into smaller chunks
- Invalid date format (not YYYY-MM-DD) — schema validation error
- bin count outside 1–30 range — rejected with validation error
- Missing required fields (row_id, course_group, date) — schema error
- Numeric values outside allowed range — rejected by schema validation
- Empty rows array — rejected as minItems is 1
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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