# Simulation Caches — Exact Row Deduplication + Category Frequencies

> Simulation Caches — Exact Row Deduplication + Category Frequencies 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).

Performs exact row deduplication and category frequency analysis on simulation cache records (cache_gb, simulation_seconds) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-041?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-exact-row-deduplication-category-frequencies-ea51b0ee
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AagVRE-PqyjJZ8nLKAjWi

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-category-frequencies-ea51b0ee -d '<json body>'
```

Example prompt: Can you deduplicate my simulation cache records and give me category frequency counts for each asset group? I have about 50 rows with fields like cache_gb, simulation_seconds, asset_group, and date — run both the exact row deduplication and category frequency reports on them.

## When to prefer this

Choose this endpoint when you need both exact duplicate row detection and category frequency counts on simulation cache records in a single call, particularly when working with datasets of up to 200 rows containing cache_gb and simulation_seconds measurements grouped by asset_group. It is cost-effective at $0.01 for two bundled reports and requires no external data sources or live lookups.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause schema validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Empty rows array (minItems: 1 not met) causes rejection
- Numeric values outside allowed range trigger validation errors
- Payment of 0.01 USDC not completed blocks endpoint access

## How this service works

Simulation caches — Exact row deduplication + Category frequencies: Exact row deduplication + Category frequencies 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 repeated rows from the submitted simulation cache records, and (2) a category frequency report counting occurrences of each category (e.g. asset_group values) across all submitted rows. 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/simulation-caches-exact-row-deduplication-category-frequencies-ea51b0ee/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)