# Localization Coverage Analyzer — Record Quality Audit + String Normalisation + Date by Category Pivot

> Localization Coverage Analyzer — Record Quality Audit + 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 2026-11-02).

Runs three analytical reports on localization coverage data: a record quality audit, string normalisation, and a date-by-category pivot, for up to 200 rows of source/translated string counts.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-18-206?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/localization-coverage-analyzer-record-quality-audit-string-427af5bd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KkwuU5MfDnF-B32FAxDDX

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-analyzer-record-quality-audit-string-427af5bd -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and date-by-category pivot on my localization coverage data? I have rows with game areas like 'ui-menus' and 'dialogue', dates from 2026-10-01 to 2026-10-07, source string counts and translated string counts — up to 50 rows total — and I want the analysis focused on the source_strings field.

## When to prefer this

Choose this endpoint when you have up to 200 rows of localization coverage data (source and translated string counts by game area and date) and need three bundled analytical reports — quality audit, normalisation, and date-category pivot — in a single low-cost call ($0.01 USDC). It is a pure local-compute endpoint with no external lookups, so it is fast and deterministic. Prefer it over manual analysis or separate single-report endpoints when you want all three reports at once for game localization QA or progress tracking.

## Known failure modes

- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, game_area, date, source_strings, translated_strings) on any row — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — validation error
- Empty rows array (minItems:1 violated) — request rejected
- Invalid field enum value (must be 'source_strings' or 'translated_strings') — validation error

## How this service works

Localization coverage — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied localization coverage records (source_strings, translated_strings). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports computed locally on the supplied data: (1) a record quality audit flagging missing, null, or malformed values; (2) normalised string data with standardised formatting; and (3) a date-by-category pivot aggregating source or translated string counts by game area over time. No external data is fetched.

## 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-analyzer-record-quality-audit-string-427af5bd/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)