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Assessment Item Observations — Duplicate Key Report + Adjacent Row Changes
x402
Assessment Item Observations — Duplicate Key Report + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs two local analytical reports on assessment item observation data: a duplicate key report and an adjacent row changes analysis for correct_responses or attempts fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Assessment item observations — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes for supplied assessment item observations records (correct_responses, attempts). 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 duplicate key report identifying any repeated row_id values across the supplied rows, and (2) an adjacent row changes report showing where the selected field (correct_responses or attempts) differs between consecutive rows — all computed locally with no external lookups, covering up to 200 input rows.
Example use cases
Audit quiz attempt data for duplicates
“I have a CSV of assessment observations from our LMS with columns row_id, course_group, date, correct_responses, and attempts — can you check it for duplicate row IDs and also show me where attempts values change between adjacent rows?”
Detect data entry errors in grade records
“We collected up to 180 rows of assessment item records for multiple course groups and I need to know if any row_ids are duplicated and where correct_responses shift between consecutive rows — can you run those two reports?”
Quality-check adjacent score changes for e-learning audit
“Before I submit this assessment dataset to our analytics team, can you run a duplicate key check and flag any adjacent row changes in the correct_responses field across all 150 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-02-062?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline-style data quality analysis on a batch of up to 200 assessment item observation records — specifically to identify duplicate row keys and track adjacent row changes in numeric assessment fields (correct_responses or attempts). It is ideal when you do not need live data lookups, predictions, or external integrations, and want two reports bundled at minimal cost ($0.01 USDC).
Side effects
- Missing required fields (row_id, course_group, date, correct_responses, attempts) causes validation error
- Exceeding 200 rows results in rejection or truncation
- Invalid date format (non-YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 boundary cause schema rejection
- Empty rows array returns error
- Invalid field enum value (anything other than 'correct_responses' or 'attempts') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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