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Research Samples — Duplicate Key Report + Daily Sum Series
x402
Research Samples — Duplicate Key Report + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Generates two local analytical reports — a duplicate key report and a daily sum series — for up to 200 rows of research sample data (sample_value or sample_weight).
Price / call$0.01
Success—
StatusUnknown
How this service works
Research samples — Duplicate key report + Daily sum series: Duplicate key report + Daily sum series for supplied research samples records (sample_value, sample_weight). 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 duplicate key report identifying rows with repeated row_id values, and (2) a daily sum series showing the total of the selected field (sample_value or sample_weight) aggregated by date — all computed locally without external lookups, for up to 200 input rows.
Example use cases
Research data quality audit
“I have 150 rows of research samples with row_id, course_group, date, sample_value, and sample_weight. Can you run a duplicate key check on them and also give me the daily total of sample_value across all dates?”
Education course group daily aggregation
“Here are my course group sample records for the month — each row has a row_id, date, course_group, sample_value, and sample_weight. Run a duplicate row ID report and give me the sum of sample_weight per day.”
Pre-analysis data integrity check
“Before I start analyzing my experiment data, can you check these 80 sample rows for any duplicate row IDs and also produce a daily sum series for sample_value so I can spot any anomalies by date?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-07-060?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two lightweight, local analytical operations — duplicate detection and daily aggregation — on a small research dataset (up to 200 rows) in a single low-cost call ($0.01 USDC). Ideal for pre-analysis data quality checks on tabular education or research sample data with dates and course group dimensions, when no external data, predictions, or live lookups are needed.
Side effects
- Input array exceeds 200 rows — request will be rejected
- Missing required fields (row_id, date, course_group) on any row causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- sample_value or sample_weight outside allowed numeric range returns error
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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