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Search Result Observations — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Search Result Observations — Secondary-Measure Weighted Mean + 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 2026-10-25).
Computes a secondary-measure weighted mean and fills missing values for search result observation records (result_count, unique_domains) across up to 200 rows in 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Search result observations — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied search result observations records (result_count, unique_domains). 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 up to 2 independent analytical reports per call, each containing the secondary-measure weighted mean computed over the supplied rows and explicit fills for any missing values in the chosen field (result_count or unique_domains), using the specified imputation method (zero, mean, or median).
Example use cases
SEO team weekly result count analysis
“I have weekly search result observations for three site groups across October — can you compute the weighted mean of result_count and fill any null values using median for these 15 rows? I need two separate analytical reports.”
Domain diversity audit across site groups
“Can you calculate the secondary-measure weighted mean for unique_domains across my search observation records and use zero-fill to handle the missing entries? Here are 50 rows covering site groups alpha, beta, and gamma from November 2025.”
Search data quality imputation pipeline
“We have a dataset of 120 search result observations with some missing result_count values — please run a weighted mean calculation with mean imputation to fill the gaps, grouped by site_group and date, and give me both analytical reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-13-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular search result observation data (result_count, unique_domains) up to 200 rows and need both a secondary-measure weighted mean and explicit missing-value imputation in a single low-cost call. It is well-suited for lightweight offline statistical summarization without requiring a live data connection, external lookup, or prediction engine. Prefer it over general analytics platforms when you want a simple, deterministic, pay-per-use computation on supplied data with no side effects.
Side effects
- Payload exceeds 200 rows — request rejected with validation error
- Missing required fields (row_id, date, site_group) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Invalid enum value for field or method — schema rejection
- All values in chosen field are null — weighted mean undefined or zero
- Payment not included or insufficient USDC — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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