# Save Files Analytics: Two-Measure Correlation + Secondary-Measure Weighted Mean

> Save Files Analytics: Two-Measure Correlation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Computes the Pearson correlation between save_kb and write_ms, plus the weighted mean of the secondary measure, across up to 200 save-file records grouped by game area.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-13-181?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/save-files-analytics-two-measure-correlation-secondary-measure-6c7ad94e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bScvpNgIzIzzk4llnBojx

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-two-measure-correlation-secondary-measure-6c7ad94e -d '<json body>'
```

Example prompt: I have save file records for my game — can you run a two-measure correlation between save_kb and write_ms, plus the weighted mean of write_ms, for these 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? Use write_ms as the secondary field.

## When to prefer this

Choose this endpoint when you need both a two-measure correlation and a weighted mean for save file performance data (save_kb and write_ms) in a single $0.01 call. Ideal for game developers auditing save system performance, QA engineers analyzing write latency trends, or analysts exploring size-vs-speed relationships in game save data. Prefer over generic stats tools when you need the two specific reports (correlation + weighted mean) bundled together against row-level game save records.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, game_area, date, save_kb, write_ms) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- All values for one measure are null — correlation cannot be computed
- field enum value not one of 'save_kb' or 'write_ms' causes rejection
- Payment of 0.01 USDC not provided — 402 Payment Required response

## How this service works

Save files — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean 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) the Pearson correlation coefficient between save_kb and write_ms across the supplied rows, and (2) the weighted mean of the designated secondary measure (save_kb or write_ms). Results are computed locally on supplied data with no external lookups, covering up to 200 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/save-files-analytics-two-measure-correlation-secondary-measure-6c7ad94e/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)