# Simulation Caches — Grouped Numeric Summary + Daily Sum Series

> Simulation Caches — Grouped Numeric Summary + Daily Sum 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).

Generates two analytical reports — a grouped numeric summary and a daily sum time series — for supplied simulation cache records (cache_gb, simulation_seconds) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-089?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-daily-sum-series-0cb671ac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dix7OUhlkSZ-_8e9VIPup

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-daily-sum-series-0cb671ac -d '<json body>'
```

Example prompt: I have simulation cache records for groups A and B across several days in October — can you run a grouped numeric summary and daily sum series on the cache_gb field for these rows: row-1 (2026-10-01, group-a, 10 GB, 1s), row-2 (2026-10-02, group-b, 20 GB, 2s), row-3 (2026-10-03, group-a, 15 GB, 3s), row-4 (2026-10-04, group-b, 30 GB, 4s)?

## When to prefer this

Choose this endpoint when you have tabular simulation cache records keyed by asset group and date, and need both a group-level statistical summary and a day-level sum series in a single low-cost call ($0.01 USDC). It is ideal for offline batch analysis of up to 200 rows where no live data lookup, prediction, or external action is needed — just fast local analytical computation on supplied data.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — request rejected (maxItems limit)
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, asset_group, date) — schema validation failure
- Invalid field enum value (not cache_gb or simulation_seconds) — rejected
- Null numeric values in cache_gb or simulation_seconds may affect aggregate accuracy

## How this service works

Simulation caches — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum 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 independent analytical reports: (1) a grouped numeric summary showing statistical aggregates (e.g. mean, min, max, count) of the selected field (cache_gb or simulation_seconds) broken down by asset_group, and (2) a daily sum time series showing the total value of the selected field per date across all supplied rows. Up to 200 input rows are supported per call.

## 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-grouped-numeric-summary-daily-sum-series-0cb671ac/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)