# Localization Coverage — String Normalisation + Date by Category Pivot

> Localization Coverage — 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 2026-10-25).

Runs two local analytical reports on localization coverage data: string normalisation and a date-by-game-area pivot, for up to 200 rows of source/translated string counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-18-035?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/localization-coverage-string-normalisation-date-by-category-pivot-60bdd4f1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kd7D-kAZE6bgmOutD2Eum

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 localization-coverage-string-normalisation-date-by-category-pivot-60bdd4f1 -d '<json body>'
```

Example prompt: Can you run string normalization and a date-by-game-area pivot on my localization coverage data? Here are the rows: row-1, 2026-10-01, group-a, 10 source strings, 1 translated; row-2, 2026-10-02, group-b, 20 source strings, 2 translated — use source_strings as the main field.

## When to prefer this

Choose this endpoint when you need two bundled local analytical operations — string normalisation plus a date-by-category pivot — on localization coverage records at low cost ($0.01 for both reports). It is ideal for game localization workflows where you want to quickly summarize and pivot translation progress across game areas and dates without relying on external lookups or live data sources. Not suitable if you need real-time translation APIs, professional localization assessment, or more than 200 rows processed at once.

## Known failure modes

- Fewer than 1 row or more than 200 rows submitted — validation error
- Missing required fields (row_id, date, game_area, source_strings, translated_strings) on any row — schema validation failure
- Date field not matching YYYY-MM-DD format — pattern validation error
- Invalid field selector (not 'source_strings' or 'translated_strings') — enum validation error
- Numeric values outside allowed range (-1e12 to 1e12) — validation rejection
- Payment of 0.01 USDC not provided — 402 Payment Required response

## How this service works

Localization coverage — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied localization coverage records (source_strings, translated_strings). 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 computed locally on the submitted rows: (1) a string normalisation report on the selected field (source_strings or translated_strings), and (2) a date-by-game-area pivot table summarising the chosen field's values across categories and dates. No external data is fetched; all computation is performed on the supplied rows (up to 200).

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/localization-coverage-string-normalisation-date-by-category-pivot-60bdd4f1/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)