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Sampling Observations — Record Quality Audit + Daily Sum Series
x402
Sampling Observations — Record Quality Audit + Daily Sum Series 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).
Audits data quality and computes daily sum time series for up to 200 sampling observation rows containing sample_value and sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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 for the submitted rows: (1) a record quality audit flagging data issues, nulls, or anomalies per row, and (2) a daily sum time series aggregating the selected field (sample_value or sample_weight) by date. Both reports are computed locally with no external lookups.
Example use cases
Environmental sensor data quality check
“I have 120 rows of air quality sensor readings with dates, sample values, and sample weights — can you audit the record quality and give me the daily sum series for the sample_value field so I can spot bad readings and see the daily totals?”
Survey response validation and daily rollup
“I collected 80 survey response records across different groups, each with a date, sample_value score, and a sample_weight. Can you run both a quality audit to flag any bad records and compute a daily sum series on sample_value for me?”
Lab test result aggregation by day
“I've got 150 lab test observations across multiple dataset groups with dates, measured values as sample_value, and sample_weight — please audit data quality and produce a daily sum series on sample_weight so I can see daily totals and catch any anomalies.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-009?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need both a data quality audit and a daily aggregated sum series from the same batch of sampling observation rows in a single call for a flat fee of $0.01 USDC. It is ideal for offline or batch analytical pipelines where no live lookup, prediction, or external enrichment is needed, and you want two bundled reports — quality flags plus daily totals — without paying for separate API calls.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) causes row-level errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Numeric values outside ±1,000,000,000,000 range cause validation failures
- Empty rows array (minItems:1 not met) causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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