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Sampling Observations — Exact Row Deduplication + Explicit Missing-Value Fill
x402
Sampling Observations — Exact Row Deduplication + Explicit Missing-Value Fill 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).
Deduplicates exact rows and fills missing values in sampling observation records (sample_value, sample_weight) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill 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 2 analytical reports covering: (1) exact duplicate row identification and removal results, and (2) missing-value fill results for the specified field (sample_value or sample_weight) using the chosen method (zero, mean, or median). Reports include cleaned records and a summary of changes applied.
Example use cases
Survey data deduplication and imputation
“I have 80 rows of survey sample data with row_id, dataset_group, date, sample_value, and sample_weight — some rows are duplicated and some sample_value entries are null. Can you deduplicate the exact duplicate rows and fill in the missing sample_values using the median of the existing values?”
Weighted sample cleanup before statistical analysis
“Before I run my weighted analysis, I need to clean my 120-row sampling dataset: remove any exact duplicate records and fill any null sample_weight values with zero. The data has columns row_id, dataset_group, date, sample_value, and sample_weight.”
Experimental observation quality fix
“My experiment produced 150 observation records but there are some exact duplicate rows and missing sample_value readings. Can you deduplicate them and impute the missing sample_values using the mean of the available values? Each row has a row_id, dataset_group, date, sample_value, and sample_weight.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-054?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, affordable ($0.01 USDC) offline data-cleaning operation on sampling observation records with up to 200 rows — specifically when you need both exact row deduplication AND explicit missing-value imputation (zero, mean, or median) in a single call. Prefer this over manual preprocessing scripts when working with sample_value/sample_weight survey or experimental data that requires reproducible, auditable cleaning with two bundled reports.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- sample_value or sample_weight outside ±1,000,000,000,000 range — validation error
- Empty rows array — minItems:1 constraint violation
- Unknown fill method or field value — enum validation error
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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