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Structured Data Observations — Numeric Distribution + Explicit Missing-Value Fill
x402
Structured Data Observations — Numeric Distribution + 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 2026-10-26).
Computes numeric distribution statistics and fills missing values (zero, mean, or median) for up to 200 rows of structured observations with valid_items and total_items fields, delivering two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Structured data observations — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied structured data observations records (valid_items, total_items). 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 analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, quartiles, count) for the specified field (valid_items or total_items), and (2) the dataset with missing values in that field explicitly filled using the chosen method (zero, mean, or median). All processing is local with no external lookups.
Example use cases
Audit data quality before pipeline ingestion
“I have 120 rows of daily site observations with row_id, site_group, date, valid_items, and total_items — can you give me a numeric distribution report on total_items and fill any missing total_items values using the mean before I load this into my pipeline?”
Fill nulls in sparse monitoring dataset
“Some of my valid_items readings are null across 80 observation records. Can you fill those missing values with zero and also show me the distribution of valid_items across the whole dataset?”
Summarize item coverage across site groups
“Here are 200 rows of structured observations grouped by site. Please run a numeric distribution analysis on valid_items and fill any gaps using median — I need both the distribution summary and the filled dataset to compare site group performance.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-08-085?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two bundled analytical operations — numeric distribution stats and missing-value imputation — on a small-to-medium structured dataset (up to 200 rows) with valid_items and total_items fields, all at a fixed low cost of $0.01 USDC. It is ideal for offline/batch data quality checks before pipeline ingestion, requiring no external data sources or predictions.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, valid_items, total_items) in one or more rows — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Invalid method enum value (must be zero, mean, or median) — bad request
- Invalid field enum value (must be valid_items or total_items) — bad request
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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