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Sampling Observations Analytics: Quality Audit + Deduplication + Trailing Mean
x402
Sampling Observations Analytics: Quality Audit + Deduplication + Trailing Mean 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).
Runs three local analytical reports on sampling observation rows: record quality audit, exact row deduplication, and trailing mean time series — all in one $0.01 USDC call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series for supplied sampling observations records (sample_value, sample_weight). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports returned together: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed fields; (2) an exact row deduplication report identifying and removing identical records; (3) a trailing mean series computed over the chosen field (sample_value or sample_weight) using the specified window size. All computed locally with no external lookups.
Example use cases
Pre-analysis data quality check
“I have about 50 sampling observation records with sample_value and sample_weight columns — can you run a quality audit on them and flag any rows with missing or suspect values before I use them in my analysis?”
Deduplication before data pipeline ingestion
“Before I load these 120 sampling rows into our pipeline, can you check for exact duplicate records and give me a clean deduplicated list? Each row has a row_id, dataset_group, date, sample_value, and sample_weight.”
Rolling mean trend for sampled measurements
“I want to see how the trailing average of sample_weight evolves over time across my 80 observation rows — can you compute a rolling mean series with a window of 5 for the sample_weight field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-216?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three standard data-quality operations — quality audit, deduplication, and trailing mean — run simultaneously on up to 200 sampling observation rows for a flat $0.01 fee. It is ideal when you want offline/local analytics with no external data fetching, prediction, or professional assessment, and when your data has the specific schema of row_id, dataset_group, date, sample_value, and sample_weight.
Side effects
- More than 200 rows submitted — request exceeds row limit
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) causes validation error
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Window size outside 2–200 range rejected
- Payment not included or insufficient USDC balance causes 402 error
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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