# Search Result Observations — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill

> 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.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-13-187?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/search-result-observations-secondary-measure-weighted-mean-explicit-b6264036
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_z4iDlt2g_OvL09jRcXY8f

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 search-result-observations-secondary-measure-weighted-mean-explicit-b6264036 -d '<json body>'
```

Example prompt: I have search result observations for several site groups from October 2026 — can you compute a secondary-measure weighted mean for result_count and fill any missing values using median imputation across these rows: row-1 group-a 2026-10-01 result_count=10 unique_domains=1, row-2 group-b 2026-10-02 result_count=20 unique_domains=2, row-3 group-a 2026-10-03 result_count=null unique_domains=3?

## When to prefer this

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.

## Known failure modes

- 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

## 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).

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/search-result-observations-secondary-measure-weighted-mean-explicit-b6264036/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)