# Simulation Caches — Exact Row Deduplication + Trailing Mean Series

> Simulation Caches — Exact Row Deduplication + 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 2026-10-21).

Performs exact row deduplication and trailing mean series analysis on simulation cache records (cache_gb, simulation_seconds) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-045?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/simulation-caches-exact-row-deduplication-trailing-mean-series-f9878559
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WOSHamPVzjyM8Le0wDmLu

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-exact-row-deduplication-trailing-mean-series-f9878559 -d '<json body>'
```

Example prompt: Deduplicate my simulation cache records and compute a trailing mean series with a window of 3 for cache_gb — here are my rows: row-1 on 2026-10-01 with cache_gb=10, simulation_seconds=1 for group-a; row-2 on 2026-10-02 with cache_gb=20, simulation_seconds=2 for group-b; row-3 on 2026-10-03 with cache_gb=15, simulation_seconds=3 for group-a.

## When to prefer this

Choose this endpoint when you need both exact duplicate detection and rolling mean computation on simulation cache time-series data (cache_gb or simulation_seconds) in a single call for up to 200 rows, without requiring any external data enrichment, predictions, or live lookups. It is ideal for data cleaning and trend analysis workflows on simulation infrastructure metrics at very low cost ($0.01 USDC for both reports).

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum row limit
- Invalid date format (must be YYYY-MM-DD)
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds)
- Window size less than 2 or greater than 200
- Field value not one of the allowed enum values: cache_gb or simulation_seconds
- Numeric values outside the allowed range (-1e12 to 1e12)

## How this service works

Simulation caches — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series 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) an exact row deduplication report identifying and removing identical records from the supplied simulation cache dataset, and (2) a trailing mean series for the selected field (cache_gb or simulation_seconds) computed over the specified rolling window, both derived locally from the supplied rows without 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/simulation-caches-exact-row-deduplication-trailing-mean-series-f9878559/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)