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Research Samples Exact Row Deduplication and Base-100 Series
x402
Research Samples Exact Row Deduplication and 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 2026-10-24).
Performs exact row deduplication and Base-100 index series computation on up to 200 research sample records with sample_value and sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Research samples — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 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
Returns two analytical reports: (1) an exact row deduplication report showing which rows were duplicates and the cleaned row set, and (2) a Base-100 index series for the selected field (sample_value or sample_weight), anchored at the specified base_index row. Both reports are generated locally without external lookups.
Example use cases
Education cohort sample deduplication
“I have 120 rows of student assessment samples across two course groups with dates and sample values — can you deduplicate exact duplicate rows and produce a Base-100 index series on sample_value starting from index 0?”
Weighted sample baseline indexing
“Take these 80 research records with sample_weight values and run exact row deduplication plus a Base-100 series on sample_weight, anchoring the base at row index 5.”
Research data audit before analysis
“Before I run my main analysis, can you clean up this dataset of 200 research samples by removing exact duplicate rows and rebasing the sample_value column to 100 starting from the first row?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-education-07-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact duplicate row removal and Base-100 index normalization in a single call on small-to-medium research sample datasets (up to 200 rows) with sample_value and sample_weight fields. Ideal for education research, course group analysis, or any tabular dataset requiring data cleaning and baseline indexing without external data enrichment or live lookups.
Side effects
- Exceeds 200 row limit — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- base_index out of range (>=number of rows) — error
- Missing required fields row_id or sample_value — schema validation failure
- All rows are duplicates leaving empty deduplicated set — may produce empty series
- Null sample values at base_index row — Base-100 computation undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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