# Robots Review Observations — String Normalisation + Date by Category Pivot

> Robots Review Observations — String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Normalises string fields and produces a date-by-category pivot report for robots.txt review observation records (checked_paths, restricted_paths) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-07-035?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/robots-review-observations-string-normalisation-date-by-category-pivot-74429b0c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PsUmQGtwl_P0bwZKS74Jk

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 robots-review-observations-string-normalisation-date-by-category-pivot-74429b0c -d '<json body>'
```

Example prompt: I have up to 200 robots review observation records with site_group, date, checked_paths, and restricted_paths columns — can you run string normalisation and a date-by-category pivot on the checked_paths field for me?

## When to prefer this

Choose this endpoint when you have up to 200 robots.txt review observation rows and need both string normalisation of categorical fields and a date-by-category pivot on path-count metrics in a single low-cost call. It is ideal for offline/batch analytical workflows where no live lookup, prediction, or external data enrichment is required — just clean, deterministic transformation of your supplied data.

## Known failure modes

- Fewer than 1 row submitted — minItems constraint violation
- More than 200 rows submitted — maxItems constraint violation
- Missing required fields (row_id, site_group, date, checked_paths, restricted_paths) causes validation error
- Date field not matching YYYY-MM-DD pattern causes schema rejection
- Numeric field values outside ±1,000,000,000,000 range cause validation failure
- Invalid field enum value (not 'checked_paths' or 'restricted_paths') causes rejection
- Payment of 0.01 USDC not fulfilled causes x402 payment-required error

## How this service works

Robots review observations — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied robots review observations records (checked_paths, restricted_paths). 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 reports: (1) a string-normalisation report cleaning site_group and related text fields across the submitted rows, and (2) a date-by-category pivot table aggregating the selected numeric field (checked_paths or restricted_paths) broken down by date and site_group category — both derived purely from the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/robots-review-observations-string-normalisation-date-by-category-pivot-74429b0c/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)