# Simulation Caches Grouped Numeric Summary + Numeric Interval Filter

> Simulation Caches Grouped Numeric Summary + Numeric Interval Filter 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).

Generates a grouped numeric summary report and a numeric interval filter report for simulation cache records (cache_gb, simulation_seconds) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-088?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-grouped-numeric-summary-numeric-interval-filter-66bf3005
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Q4p6Ua9_D-6pIUDCGpCLL

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-grouped-numeric-summary-numeric-interval-filter-66bf3005 -d '<json body>'
```

Example prompt: I have 4 simulation cache records — group-a had 10 GB on 2026-10-01 taking 1 second and 15 GB on 2026-10-03 taking 3 seconds, group-b had 20 GB on 2026-10-02 taking 2 seconds and 30 GB on 2026-10-04 taking 4 seconds — can you give me a grouped numeric summary and filter the cache_gb field between 0 and 25?

## When to prefer this

Choose this endpoint when you have up to 200 simulation cache records and need both a grouped aggregate summary by asset group AND a numeric range filter applied to cache_gb or simulation_seconds in a single low-cost call. It is ideal for quick local analytical computation on supplied data without requiring an external database, live system, or full data warehouse. Best suited for infrastructure or simulation teams doing ad-hoc analysis on batch-exported cache metrics.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes validation error
- minimum value greater than maximum value leads to empty interval filter result
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) causes schema validation failure
- Non-numeric values in cache_gb or simulation_seconds cause processing errors
- Empty rows array rejected due to minItems:1 constraint

## How this service works

Simulation caches — Grouped numeric summary + Numeric interval filter: Grouped numeric summary + Numeric interval filter 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 grouped numeric summary breaking down cache_gb or simulation_seconds statistics (e.g. mean, min, max, count) by asset_group, and (2) a numeric interval filter report showing rows or aggregates where the selected numeric field falls within the specified minimum and maximum bounds. Both reports are computed from the supplied rows with no external data lookup.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/simulation-caches-grouped-numeric-summary-numeric-interval-filter-66bf3005/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)