# Simulation Caches — Numeric Row Ordering + Numeric Interval Filter

> Simulation Caches — Numeric Row Ordering + 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 2026-10-31).

Sorts simulation cache records by a numeric field and filters rows within a specified numeric range, returning up to 2 analytical reports for up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-113?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/simulation-caches-numeric-row-ordering-numeric-interval-filter-b9164663
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hnobWjAGj_2h_5_CShXzl

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-row-ordering-numeric-interval-filter-b9164663 -d '<json body>'
```

Example prompt: Sort my simulation cache records by cache_gb and filter to only rows where cache_gb is between 10 and 50 — I have 4 rows with asset groups group-a and group-b dated from 2026-10-01 to 2026-10-04, and I want both analytical reports.

## When to prefer this

Choose this endpoint when you need to both rank simulation cache records numerically and filter them to a specific numeric range in a single API call, receiving two distinct reports at once. It is ideal for lightweight, offline analytical tasks on datasets up to 200 rows where no live data, external lookups, or predictions are needed. Prefer it over general-purpose analytics tools when cost-efficiency matters and your data is already structured with cache_gb and simulation_seconds fields.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds limit, request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Minimum value greater than maximum value — no rows pass the interval filter
- Null values in the selected numeric field — those rows may be excluded or cause ordering issues
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) — schema validation error
- Payment failure — endpoint requires 0.01 USDC via x402 protocol

## How this service works

Simulation caches — Numeric row ordering + Numeric interval filter: Numeric row ordering + 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 up to 2 independent analytical reports: one showing rows ordered numerically by the selected field (cache_gb or simulation_seconds), and one showing only the rows whose selected field value falls within the specified minimum–maximum interval. Results are derived entirely 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"
  },
  "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-numeric-row-ordering-numeric-interval-filter-b9164663/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)
