# Save Files Data Quality Audit — String Normalisation & Numeric Interval Filter

> Save Files Data Quality Audit — String Normalisation & Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).

Audits record quality, normalises strings, and filters by numeric interval for save-file records containing save_kb and write_ms fields, returning 3 independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-13-197?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-03
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/save-files-data-quality-audit-string-normalisation-numeric-interval-aa12549d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_9fgAfbjG7IlYkW8qOM_w-

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-data-quality-audit-string-normalisation-numeric-interval-aa12549d -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and numeric interval filter on these 50 game save records — filter the save_kb field between 0 and 500 — here's the row data with row_id, game_area, date, save_kb, and write_ms for each entry?

## When to prefer this

Choose this endpoint when you need all three of record quality auditing, string normalisation, and numeric interval filtering applied together to game save file records in a single cost-efficient call. It is ideal for batch pre-processing up to 200 rows of save file data before ingestion into a pipeline, and particularly suited when working with game telemetry data structured around save_kb and write_ms metrics. Prefer it over general-purpose data tools when you want bundled, local analytical reports without any external data lookups or live enrichment.

## Known failure modes

- Empty or missing rows array returns an error
- More than 200 rows submitted — request rejected with maxItems violation
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- minimum greater than maximum yields no rows passing the interval filter
- Unrecognised field value (not save_kb or write_ms) causes enum validation error
- Null numeric values in save_kb or write_ms may be flagged in the quality audit report

## How this service works

Save files — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied save files records (save_kb, write_ms). 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

Three independent analytical reports covering: (1) a record quality audit identifying malformed, missing, or inconsistent entries; (2) a string normalisation report detailing transformations applied to text fields like game_area; and (3) a numeric interval filter report showing which rows fall within or outside the specified minimum–maximum range for the chosen field (save_kb or write_ms). All analysis is performed locally on the supplied data with no external lookups.

## 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
  },
  "field": {
   "enum": [
    "save_kb",
    "write_ms"
   ],
   "type": "string",
   "default": "save_kb"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/save-files-data-quality-audit-string-normalisation-numeric-interval-aa12549d/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)