# Simulation Caches — Numeric Distribution + Secondary-Measure Weighted Mean

> Simulation Caches — Numeric Distribution + 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 2026-10-22).

Computes a numeric distribution report and a secondary-measure weighted mean for up to 200 simulation cache records, using cache_gb as the primary field and simulation_seconds as the weighting measure.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-082?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/simulation-caches-numeric-distribution-secondary-measure-weighted-mean-fd351b95
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XzoUGVXSwAtbLWnlcesed

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 simulation-caches-numeric-distribution-secondary-measure-weighted-mean-fd351b95 -d '<json body>'
```

Example prompt: Can you run a numeric distribution analysis and weighted mean report on my simulation cache records? Here are up to 200 rows with row_id, asset_group, date, cache_gb, and simulation_seconds fields — use cache_gb as the primary field.

## When to prefer this

Use this endpoint when you need both a distribution summary and a weighted mean for simulation cache metrics (cache_gb, simulation_seconds) on a batch of up to 200 records without needing live data, external lookups, or predictions. It is ideal for offline statistical analysis of simulation infrastructure data where you already have the rows and need quick local computation delivered as two structured reports for a flat $0.01 USDC fee.

## Known failure modes

- Fewer than 1 row supplied returns an error
- More than 200 rows supplied exceeds the limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in cache_gb or simulation_seconds may affect weighted mean calculation
- Invalid field enum value causes rejection
- Missing required row fields (row_id, asset_group, date) causes validation error

## How this service works

Simulation caches — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean for supplied simulation caches records (cache_gb, simulation_seconds). 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 numeric distribution of the selected field (cache_gb or simulation_seconds) across supplied rows, and (2) a weighted mean of cache_gb using simulation_seconds as the secondary weighting measure. Both reports are 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",
     "asset_group",
     "date",
     "cache_gb",
     "simulation_seconds"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "cache_gb": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "simulation_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "cache_gb": 10,
     "asset_group": "group-a",
     "simulation_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "cache_gb": 20,
     "asset_group": "group-b",
     "simulation_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "cache_gb": 15,
     "asset_group": "group-a",
     "simulation_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "cache_gb": 30,
     "asset_group": "group-b",
     "simulation_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "cache_gb",
    "simulation_seconds"
   ],
   "type": "string",
   "default": "cache_gb"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/simulation-caches-numeric-distribution-secondary-measure-weighted-mean-fd351b95/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)
