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Sampling Observations — Duplicate Key Report + Numeric Row Ordering
x402
Sampling Observations — Duplicate Key Report + Numeric Row Ordering 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 supplied sampling observation records to produce a duplicate key report and a numeric row ordering report for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Duplicate key report + Numeric row ordering: Duplicate key report + Numeric row ordering 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 supplied records, and (2) a numeric row ordering report ranking rows by the selected numeric field (sample_value or sample_weight). Results are computed locally with no external lookups, covering up to 200 input rows.
Example use cases
Survey sample deduplication audit
“I have a batch of 50 survey sample records with row IDs, dates, groups, and numeric values — can you run a duplicate key check and give me a numeric ordering by sample_value so I can spot any repeated IDs and see the rows ranked?”
Weighted sample ordering for analysis
“Can you take my 120 sampling observation rows and produce a numeric ordering by sample_weight, and also tell me if any row IDs are duplicated across the dataset?”
Data pipeline quality check on ingested samples
“Before I process this batch of 80 sampling observations, can you run a duplicate key report and a numeric row ordering on sample_value so I can validate data integrity before the next step?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-058?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit a dataset of sampling observations for duplicate row identifiers and produce a numeric ordering of rows by a chosen field (sample_value or sample_weight), with up to 200 rows per call. It is ideal for data quality checks on survey, scientific, or statistical sample datasets before downstream processing, especially when both deduplication detection and numeric ranking are needed in a single low-cost call.
Side effects
- Empty rows array returns an error (minItems: 1 required)
- More than 200 rows submitted exceeds maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- row_id missing or empty string triggers required field validation error
- sample_value or sample_weight outside ±1,000,000,000,000 range rejected
- Invalid field enum value (not 'sample_value' or 'sample_weight') causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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