# Simulation Caches Duplicate Key Report + Base-100 Series

> Simulation Caches Duplicate Key Report + 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).

Generates a duplicate key report and a base-100 index series for up to 200 rows of simulation cache data (cache_gb, simulation_seconds).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-08-063?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-duplicate-key-report-base-100-series-1c599845
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xQByO-A5r_HgApZcIB-FH

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-duplicate-key-report-base-100-series-1c599845 -d '<json body>'
```

Example prompt: Can you run a duplicate key report and a base-100 index series on these simulation cache records — use cache_gb as the field and row index 0 as the base: row-1 on 2026-10-01 group-a with cache_gb=10 and simulation_seconds=1, row-2 on 2026-10-02 group-b with cache_gb=20 and simulation_seconds=2, row-3 on 2026-10-03 group-a with cache_gb=15 and simulation_seconds=3?

## When to prefer this

Choose this endpoint when you need both duplicate key detection and base-100 normalization on simulation cache records (cache_gb and/or simulation_seconds) in a single low-cost call. Prefer this over general-purpose analytics tools when your data fits within 200 rows and you want fast, local computation without external lookups or live data dependencies. Ideal for data quality checks before pipeline ingestion or for exploratory trend indexing of simulation metrics.

## Known failure modes

- Input array is empty (minItems: 1 violated) — validation error returned
- More than 200 rows supplied (maxItems: 200 violated) — request rejected
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- base_index references a row position beyond the actual number of rows supplied — computation error
- cache_gb or simulation_seconds values outside allowed numeric range — validation rejection
- Missing required fields (row_id, asset_group, date) on any row — schema error

## How this service works

Simulation caches — Duplicate key report + Base-100 series: Duplicate key report + 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 independent analytical reports: (1) a duplicate key report identifying rows with repeated key combinations across the supplied records, and (2) a base-100 index series rescaling the chosen numeric field (cache_gb or simulation_seconds) relative to the specified base row index. Up to 200 input rows supported. No external data is fetched; all analysis is performed locally on the supplied data.

## 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-duplicate-key-report-base-100-series-1c599845/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)