nexus-canvas-pink.vercel.app
A system-design canvas that ChatGPT can draw on, audit, stress-test and compile to infrastructure code via WebMCP.
First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 1 · Act 13 · Transact 0 · Score: Not yet scored
Tool inspector
simulate_load
Run the capacity model for N concurrent users, optionally with some components failed, and report bottlenecks, error rate and latency. Results are drawn on the canvas.
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
users |
integer | yes | — |
requestsPerUserPerSec |
number | no | Default 0.2. |
failedComponentIds |
array | no | Treat these as down for this run only. |
mode |
string | no | Simulation mode: fast (static flow) or des (discrete-event simulation). Default fast. |
seed |
integer | no | Deterministic PRNG seed for DES mode. |
Raw JSON schema
{
"type": "object",
"properties": {
"users": {
"type": "integer",
"minimum": 1,
"maximum": 10000000
},
"requestsPerUserPerSec": {
"type": "number",
"minimum": 0.001,
"maximum": 100,
"description": "Default 0.2."
},
"failedComponentIds": {
"type": "array",
"items": {
"type": "string"
},
"description": "Treat these as down for this run only."
},
"mode": {
"type": "string",
"enum": [
"fast",
"des"
],
"description": "Simulation mode: fast (static flow) or des (discrete-event simulation). Default fast."
},
"seed": {
"type": "integer",
"description": "Deterministic PRNG seed for DES mode."
}
},
"required": [
"users"
],
"additionalProperties": false
}
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