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Sampling Observations Analytics: Record Quality Audit + Exact Row Deduplication + Base-100 Series
x402
Sampling Observations Analytics: Record Quality Audit + Exact Row Deduplication + Base-100 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).
Runs three local analytical reports on up to 200 sampling observation rows: a record quality audit, exact row deduplication, and a base-100 index series for sample_value or sample_weight.
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 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
Returns three independent analytical reports: (1) a record quality audit flagging missing values, type mismatches, and field-level issues; (2) an exact row deduplication report identifying fully duplicated records; and (3) a base-100 index series for the chosen numeric field (sample_value or sample_weight), normalized relative to the selected base row.
Example use cases
Survey sample data quality audit
“I have 150 rows of survey sampling data with sample values and weights — can you audit them for record quality issues, remove exact duplicate rows, and produce a base-100 index series on sample_value starting from the first row?”
Weighted sample deduplication check
“Check my 80-row sampling observations dataset for duplicate records and data quality problems, and also build a base-100 series on sample_weight from index 0 — the rows have row_id, dataset_group, date, sample_value, and sample_weight.”
Base-100 index series for A/B group samples
“I've got two groups of sampling observations (group-a and group-b) across about 60 rows — please audit the record quality, deduplicate exact rows, and generate a base-100 index starting at position 0 for the sample_value field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-218?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled local analytics — quality audit, deduplication, and base-100 indexing — on sampling observation data with sample_value and sample_weight fields, all in a single low-cost call. Prefer it over separate tools when your dataset is under 200 rows and you want consolidated reporting without external lookups or live data connections.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, sample_value, sample_weight, dataset_group) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation failure
- base_index value out of range (0-199) or exceeding the number of submitted rows causes an index error
- Null values in sample_value or sample_weight may appear in quality audit flagging but won't block execution
- Payment of 0.01 USDC not included causes an x402 payment-required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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