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Sampling Observations Duplicate Key Report and Category Frequencies
x402
Sampling Observations Duplicate Key Report and Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Analyzes up to 200 sampling observation rows to produce two local reports: a duplicate key report and category frequency distribution for sample_value and sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies for supplied sampling observations 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 identifying any repeated row_id values across the submitted rows, and (2) a category frequency table showing how often each dataset_group value appears in the dataset. Both reports are computed locally on the submitted data with no external lookups.
Example use cases
Survey data duplicate audit
“I have 150 rows of survey sample data with row IDs, groups, dates, sample values and weights — can you check if any row IDs are duplicated and tell me how often each dataset group appears?”
Weighted sample category profiling
“Here are my 80 sampling observations with row_id, dataset_group, date, sample_value, and sample_weight fields. Give me a frequency count of each category and flag any duplicate keys.”
Data pipeline quality check
“Before I process this batch of 200 sampling records, can you run both a duplicate key report and a category frequency analysis on them so I can spot data issues early?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-057?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific data-quality reports — duplicate key detection and category frequency counts — on a batch of up to 200 sampling observation records (with sample_value and sample_weight fields) at a single low cost. It is ideal for pre-processing audits of survey or observational datasets before downstream analysis, and when you want both reports in one call without external lookups or predictions.
Side effects
- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- sample_value or sample_weight outside ±1,000,000,000,000 range causes validation failure
- Empty rows array (minItems: 1 violated) returns error
- Payment failure or insufficient USDC balance blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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