# Structured Data Observations — Numeric Distribution + Explicit Missing-Value Fill

> 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.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-08-085?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/structured-data-observations-numeric-distribution-explicit-missing-19cec520
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Zhjz0Bo3JPaJHVlXfMCoa

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability structured-data-observations-numeric-distribution-explicit-missing-19cec520 -d '<json body>'
```

Example prompt: Can you analyze the numeric distribution of the valid_items column and fill in any missing values using median imputation for this dataset of up to 50 site observation rows — each with a row_id, site_group, date, valid_items, and total_items?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "site_group",
     "date",
     "valid_items",
     "total_items"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "site_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "total_items": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "valid_items": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "site_group": "group-a",
     "total_items": 1,
     "valid_items": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "site_group": "group-b",
     "total_items": 2,
     "valid_items": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "site_group": "group-a",
     "total_items": 3,
     "valid_items": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "site_group": "group-b",
     "total_items": 4,
     "valid_items": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "valid_items",
    "total_items"
   ],
   "type": "string",
   "default": "valid_items"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/structured-data-observations-numeric-distribution-explicit-missing-19cec520/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)