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Sampling Observations Analytics — Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram
x402
Sampling Observations Analytics — Record Quality Audit + Exact Row Deduplication + Equal-Width Histogram 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 (record quality audit, exact row deduplication, and equal-width histogram) on up to 200 sampling observation records with sample_value and sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram 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 reports: (1) a record quality audit flagging nulls, invalid values, and format issues per row; (2) an exact row deduplication report listing duplicate row groups; and (3) an equal-width histogram for the selected field (sample_value or sample_weight) with a configurable number of bins (1–30). All computed locally with no external lookups.
Example use cases
Survey sample data quality check
“I have 150 survey response records with sample_value and sample_weight — can you audit them for quality issues, remove any exact duplicate rows, and show me a 5-bin histogram of the sample_value field?”
Weighted observation deduplication before modeling
“Before I feed these 200 sampling observations into my model, can you run an exact duplicate check and a record quality audit on the dataset so I know what's clean? Use sample_weight as the histogram field with 8 bins.”
Distribution profiling for sensor readings
“I've got a batch of sensor sample readings — each row has a row_id, group, date, sample_value, and sample_weight. Can you profile the sample_value distribution with a 10-bin equal-width histogram, flag any quality issues, and identify any duplicate records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-219?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three core data profiling operations — quality auditing, deduplication, and distribution histogramming — on a batch of sampling observation records in a single low-cost call. Ideal for pre-modeling data hygiene checks, survey data validation, or quick statistical profiling of weighted samples without needing external data sources or real-time lookups. Best when your dataset is at most 200 rows and you want a bundled, cost-efficient ($0.01 USDC) local computation rather than separate API calls for each operation.
Side effects
- More than 200 rows submitted — request rejected with maxItems violation
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- sample_value or sample_weight outside [-1e12, 1e12] range causes rejection
- bins parameter outside 1–30 range causes validation error
- Empty rows array causes minItems violation
- Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) causes schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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