# Simulation Caches — Adjacent Row Changes + Base-100 Series

> Simulation Caches — Adjacent Row Changes + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Computes adjacent row-over-row changes and a base-100 indexed series for user-supplied simulation cache records (cache_gb, simulation_seconds) — two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-155?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-adjacent-row-changes-base-100-series-04b72beb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Kr0VjJzEpo763-JH16K7Y

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-adjacent-row-changes-base-100-series-04b72beb -d '<json body>'
```

Example prompt: Can you run the adjacent row changes and base-100 series reports on my simulation cache data? Here are 4 rows — group-a on 2026-10-01 had cache_gb=10 and simulation_seconds=1, group-b on 2026-10-02 had cache_gb=20 and simulation_seconds=2, group-a on 2026-10-03 had cache_gb=15 and simulation_seconds=3, and group-b on 2026-10-04 had cache_gb=30 and simulation_seconds=4. Use cache_gb as the field and row index 0 as the base.

## When to prefer this

Choose this endpoint when you need two specific analytical transformations — adjacent row-over-row deltas AND a base-100 normalized series — applied to simulation cache records (cache_gb or simulation_seconds) in a single low-cost call. It is ideal for time-series change analysis on small-to-medium datasets (up to 200 rows) where you supply the data directly and need fast, offline computation without live data lookup or prediction. Not suitable for real-time monitoring, external data retrieval, or analytical operations beyond these two report types.

## Known failure modes

- Empty or missing rows array returns an error
- Rows exceeding the 200-item limit are rejected
- Invalid date format (non YYYY-MM-DD) causes validation failure
- base_index value exceeding the number of supplied rows triggers an out-of-bounds error
- Null values in the selected numeric field may produce undefined or skipped delta results
- Missing required row fields (row_id, asset_group, date) cause schema validation errors

## How this service works

Simulation caches — Adjacent row changes + Base-100 series: Adjacent row changes + Base-100 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 analytical reports for the supplied simulation cache rows: (1) an adjacent row changes report showing the delta of the selected field (cache_gb or simulation_seconds) between each consecutive row, and (2) a base-100 indexed series showing each row's value normalized relative to the row at base_index. Results are computed locally with no external lookup. Up to 200 rows 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/simulation-caches-adjacent-row-changes-base-100-series-04b72beb/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)