# Save Files Analytics — Numeric Row Ordering + Trailing Mean Series

> Save Files Analytics — Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Analyzes save file metrics (save_kb, write_ms) by computing numeric row ordering and trailing mean series for up to 200 supplied rows, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-13-115?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/save-files-analytics-numeric-row-ordering-trailing-mean-series-7a12c1ba
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_j4fL1D3mmokxFKgtQT8D2

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-analytics-numeric-row-ordering-trailing-mean-series-7a12c1ba -d '<json body>'
```

Example prompt: Can you analyze these 4 game save records and give me numeric row ordering plus a trailing mean series for save_kb with a window of 2? The records are: row-1 on 2026-10-01 for group-a with save_kb=10 and write_ms=1, row-2 on 2026-10-02 for group-b with save_kb=20 and write_ms=2, row-3 on 2026-10-03 for group-a with save_kb=15 and write_ms=3, row-4 on 2026-10-04 for group-b with save_kb=30 and write_ms=4.

## When to prefer this

Choose this endpoint when you have save file performance records (save_kb, write_ms) and need both a ranked/ordered view of the data and a smoothed rolling average trend in a single call for under 200 rows. It is ideal for game developers or analysts who want offline statistical summaries without external data dependencies, predictions, or professional assessments.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum limit
- Invalid date format (must be YYYY-MM-DD) — validation error
- Window size larger than number of rows — trailing mean may be undefined for early rows
- Missing required fields (row_id, game_area, date) — schema validation failure
- Numeric field values outside ±1,000,000,000,000 range — rejected

## How this service works

Save files — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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) a numeric row ordering of the supplied save file rows, and (2) a trailing mean series for the selected field (save_kb or write_ms) computed with the specified sliding window size. Both reports are derived entirely 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/save-files-analytics-numeric-row-ordering-trailing-mean-series-7a12c1ba/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)