# Simulation Caches — Exact Row Deduplication + Adjacent Row Changes

> Simulation Caches — Exact Row Deduplication + Adjacent Row Changes 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).

Analyzes simulation cache records to identify exact duplicate rows and detect adjacent row changes across cache_gb and simulation_seconds fields, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-046?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-adjacent-row-changes-bba23abe
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Exw457WpTFcDYhNWRmT7y

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-adjacent-row-changes-bba23abe -d '<json body>'
```

Example prompt: Can you run exact row deduplication and adjacent row change detection on my simulation cache data — I have rows with cache_gb and simulation_seconds values for asset groups over several dates, up to about 150 rows, and I want both reports for the cache_gb field?

## When to prefer this

Choose this endpoint when you need both exact-duplicate detection and adjacent-row change analysis on simulation cache records (cache_gb, simulation_seconds) in a single low-cost call. It is purpose-built for this specific data shape and returns two bundled reports for $0.01 USDC. Prefer it over general-purpose deduplication tools when your data conforms to the simulation cache schema with asset_group and date dimensions.

## Known failure modes

- Exceeding 200 rows returns a validation error — batch must be split
- Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) on any row causes rejection
- Invalid date format (must be YYYY-MM-DD) triggers a pattern validation error
- Supplying a field value outside the allowed numeric range causes a schema error
- Empty rows array returns an error due to minItems:1 constraint

## How this service works

Simulation caches — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes 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) an exact row deduplication report identifying which rows among the supplied records are perfect duplicates, and (2) an adjacent row changes report flagging where consecutive rows differ in the selected numeric field (cache_gb or simulation_seconds), all computed locally from the submitted data without any external 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/simulation-caches-exact-row-deduplication-adjacent-row-changes-bba23abe/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)