# Save Files Analytics — Adjacent Row Changes + Base-100 Series

> Save Files Analytics — Adjacent Row Changes + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-04).

Computes adjacent row-to-row changes and a base-100 indexed series for save file metrics (save_kb, write_ms) across up to 200 supplied rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-13-155?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-04
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/save-files-analytics-adjacent-row-changes-base-100-series-335fd99e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nLORLysxNQSPHcAE-cVX_

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-adjacent-row-changes-base-100-series-335fd99e -d '<json body>'
```

Example prompt: Analyze these game save records for both adjacent row changes and a base-100 series — the data has rows with date, row_id, game_area, save_kb, and write_ms fields; run the analysis on save_kb starting from base index 0.

## When to prefer this

Choose this endpoint when you have tabular game save file records and need both a row-over-row delta series and a base-100 normalized index in a single call. It is ideal for offline/supplied-data analytics where no live lookup or external data is needed. Prefer it over generic spreadsheet tools when you want two structured analytical reports delivered together for up to 200 rows at minimal cost.

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format not matching YYYY-MM-DD pattern
- Missing required fields (row_id, game_area, date, save_kb, write_ms) in any row
- base_index out of range (must be 0–199 and within the row count)
- field value not one of the allowed enum values (save_kb, write_ms)
- Null numeric values for both save_kb and write_ms may produce null deltas in output

## How this service works

Save files — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 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 analytical reports: (1) an adjacent row change series showing the delta of the selected metric between each consecutive row, and (2) a base-100 indexed series normalizing the selected metric relative to the specified base row — covering up to 200 input rows.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/save-files-analytics-adjacent-row-changes-base-100-series-335fd99e/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)