# Search Result Observations — String Normalisation + Numeric Distribution

> Search Result Observations — String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Normalises string fields and computes numeric distribution statistics for up to 200 search result observation records (result_count, unique_domains) in two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-13-022?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/search-result-observations-string-normalisation-numeric-distribution-e015c435
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_osJGO2R7-x9xP81j3pq4H

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-string-normalisation-numeric-distribution-e015c435 -d '<json body>'
```

Example prompt: Can you run string normalization and numeric distribution analysis on my search result observations? I have up to 50 rows with site_group, date, result_count, and unique_domains fields — I want both reports and I'd like to analyze the result_count field.

## When to prefer this

Choose this endpoint when you have tabular search result observation data (with result_count and unique_domains columns) and need both string normalization of categorical labels AND numeric distribution statistics in a single low-cost call. Ideal for pre-analysis data cleaning and quick statistical profiling of search datasets without needing a full analytics platform. Not suitable for live search queries, predictions, or datasets exceeding 200 rows.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, site_group, date, result_count, or unique_domains) in any row causes validation failure
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Invalid field enum value (not result_count or unique_domains) causes an error
- All-null numeric values for selected field may yield empty or degenerate distribution report
- Payment of 0.01 USDC not included or rejected causes x402 payment required response

## How this service works

Search result observations — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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

Two independent analytical reports: (1) a string normalisation report for the site_group field across submitted rows, and (2) a numeric distribution report (e.g. min, max, mean, percentiles, histogram-style binning) for the selected numeric field (result_count or unique_domains), covering up to 200 supplied rows. No external lookups or predictions are performed — all analysis uses local engines on the supplied data.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/search-result-observations-string-normalisation-numeric-distribution-e015c435/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)