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Research Samples — Duplicate Key Report + Numeric Interval Filter
x402
Research Samples — Duplicate Key Report + Numeric Interval Filter 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).
Analyzes up to 200 research sample rows to produce a duplicate key report and a numeric interval filter report for sample_value or sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research samples — Duplicate key report + Numeric interval filter: Duplicate key report + Numeric interval filter 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
Returns two independent analytical reports: (1) a duplicate key report listing any row_ids that appear more than once in the input, and (2) a numeric interval filter report showing which rows have the specified field (sample_value or sample_weight) within the given minimum–maximum range. Results are computed locally from the supplied data with no external lookups.
Example use cases
Duplicate detection in course sample data
“I have 120 research sample rows from different course groups and I need to know if any row_ids are duplicated — can you run a duplicate key report on them?”
Range filtering of sample measurements
“From my dataset of 60 research samples, give me only the rows where sample_weight falls between 5 and 50 — I need to filter out anything outside that interval.”
Combined QA pass on uploaded samples
“Before I process my 200-row research sample file, run both a duplicate key check and filter sample_value between 0 and 100 so I can catch data issues in one shot.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-07-059?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and numeric range filtering on research sample data in a single low-cost call. It is ideal for data quality checks on small-to-medium datasets (up to 200 rows) with sample_value and sample_weight fields. It does not perform live lookups, predictions, or external enrichment — use it purely for local analytical reporting on data you supply directly.
Side effects
- Exceeding 200 rows will cause rejection — keep input within maxItems limit
- Invalid date format (not YYYY-MM-DD) will fail schema validation
- Missing required fields (row_id, course_group, date, sample_value, sample_weight) will cause request rejection
- Minimum greater than maximum in interval filter may return empty result set
- Payment failure via x402 protocol will block execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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