# Save Files Analytics — Base-100 Series + Two-Measure Correlation

> Save Files Analytics — Base-100 Series + Two-Measure Correlation 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).

Computes a Base-100 indexed time series and a two-measure Pearson correlation report for game save-file metrics (save_kb and write_ms) from up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-13-165?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-analytics-base-100-series-two-measure-correlation-5283b17f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_u358aSYwu_jSDRIHh2FM4

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-base-100-series-two-measure-correlation-5283b17f -d '<json body>'
```

Example prompt: Using my game save file records, index save_kb to a base of 100 starting from row 0 and also give me the two-measure correlation between save_kb and write_ms — here are my rows: [{"row_id":"r1","game_area":"zone-a","date":"2025-01-01","save_kb":512,"write_ms":120},{"row_id":"r2","game_area":"zone-b","date":"2025-01-02","save_kb":640,"write_ms":145}].

## When to prefer this

Choose this endpoint when you have tabular game save-file records with both a size metric (save_kb) and a write-duration metric (write_ms) and need both a normalized time-indexed series (Base-100) and a statistical correlation between the two measures in a single low-cost call. Prefer it over general-purpose statistics APIs when your data fits the game-area + date + save_kb + write_ms schema and you want both reports for $0.01.

## Known failure modes

- Fewer than 1 row supplied — rejected by minItems validation
- More than 200 rows supplied — rejected by maxItems constraint
- base_index references a row index outside the actual row count — may produce error or undefined behavior
- Missing required fields (row_id, game_area, date, save_kb, write_ms) in any row — schema validation failure
- Date strings not matching YYYY-MM-DD pattern — rejected by pattern validation
- Non-numeric or out-of-range values for save_kb or write_ms — rejected by schema bounds
- Payment not included or insufficient — x402 payment required error

## How this service works

Save files — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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 analytical reports: (1) a Base-100 indexed series showing the selected field's values normalized relative to the chosen base row, and (2) a two-measure correlation report quantifying the statistical relationship between save_kb and write_ms across the supplied rows (up to 200).

## 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-base-100-series-two-measure-correlation-5283b17f/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)