# Save Files — String Normalisation + Exact Row Deduplication

> Save Files — String Normalisation + Exact Row Deduplication 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 strings and removes exact duplicate rows from video game save file records (save_kb, write_ms), producing two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-13-020?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/save-files-string-normalisation-exact-row-deduplication-10ecfd34
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_13opMHJ3F_Vn6q4nPhYak

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 save-files-string-normalisation-exact-row-deduplication-10ecfd34 -d '<json body>'
```

Example prompt: Can you clean up my game save file records by normalising the string fields and removing exact duplicate rows? I have up to 200 rows with fields like row_id, game_area, date, save_kb, and write_ms — I need two reports back covering string normalisation and deduplication.

## When to prefer this

Choose this endpoint when you have video game save file records needing both string field normalisation and exact duplicate row removal in a single call, and your dataset is 200 rows or fewer. It is ideal for lightweight, offline data quality checks on save file metrics (save_kb, write_ms) without requiring live lookups or external data enrichment. Prefer it over general-purpose deduplication tools when you specifically need two co-produced reports (normalisation + deduplication) at low cost ($0.01 USDC).

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, game_area, date, save_kb, write_ms) cause validation errors
- Date field not in YYYY-MM-DD format causes schema rejection
- Numeric fields (save_kb, write_ms) out of allowed range cause errors
- Empty rows array (minItems: 1 not met) causes rejection

## How this service works

Save files — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied save files records (save_kb, write_ms). 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 independent analytical reports: (1) a string normalisation report covering text fields such as row_id and game_area, and (2) an exact row deduplication report identifying and removing fully identical rows. Both reports are computed locally from the supplied data, with no external lookups or predictions.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/save-files-string-normalisation-exact-row-deduplication-10ecfd34/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)