# Save Files — Adjacent Row Changes + IQR Outlier Flags

> Save Files — Adjacent Row Changes + IQR Outlier Flags 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).

Analyzes save file metrics (save_kb, write_ms) for adjacent row-to-row changes and IQR-based outlier detection across up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-13-157?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/save-files-adjacent-row-changes-iqr-outlier-flags-5eca849c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_zI2nHDxSJXBU6dg_VG8dB

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-adjacent-row-changes-iqr-outlier-flags-5eca849c -d '<json body>'
```

Example prompt: Analyze my save file records for adjacent row changes and IQR outlier flags — here are 4 rows: row-1 on 2026-10-01 in group-a with save_kb=10 and write_ms=1, row-2 on 2026-10-02 in group-b with save_kb=20 and write_ms=2, row-3 on 2026-10-03 in group-a with save_kb=15 and write_ms=3, row-4 on 2026-10-04 in group-b with save_kb=30 and write_ms=4; run the analysis on the save_kb field.

## When to prefer this

Choose this endpoint when you need fast, offline statistical analysis of game save file metrics specifically — adjacent delta computation and IQR-based outlier detection on save_kb or write_ms fields — without needing live lookups, predictions, or external data enrichment. Best suited for QA pipelines, performance audits, and data quality checks on batches up to 200 rows.

## Known failure modes

- Fewer than 1 row supplied — minItems validation failure
- More than 200 rows supplied — maxItems validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Null values in save_kb or write_ms may reduce IQR computation accuracy
- Missing required fields (row_id, game_area, date) — schema validation error
- Field enum value not 'save_kb' or 'write_ms' — rejected input

## How this service works

Save files — Adjacent row changes + IQR outlier flags: Adjacent row changes + IQR outlier flags 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

Two independent analytical reports: (1) adjacent row-to-row change analysis showing the delta between consecutive rows for the selected metric, and (2) IQR outlier flags identifying which rows fall outside the interquartile range, both computed locally 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",
     "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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/save-files-adjacent-row-changes-iqr-outlier-flags-5eca849c/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)