cjbooger.github.io
A fictional WebMCP market simulation for auditing commercial influence on agent recommendations.
First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 1 · Act 6 · Transact 0 · Score: Not yet scored
Tool inspector
get_market_recommendations
This is a deterministic local simulation using fictional advertisers, offers, bids, and claims. Return recommendations ranked with explicit user fit and simulated sponsor influence. Results include paid-placement disclosures and synthetic advertiser claims; commercial weighting can change rank.
Page: /intent-for-sale-webmcp/
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
sessionId |
string | yes | — |
limit |
integer | no | — |
Raw JSON schema
{
"type": "object",
"properties": {
"sessionId": {
"type": "string",
"minLength": 1,
"maxLength": 120
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 5,
"default": 5
}
},
"required": [
"sessionId"
],
"additionalProperties": false
}
Similar websites
reloadium.com
Paste a topic, URL, or PDF/TXT/MD — get a multi-episode AI podcast with audio, transcripts, timelines and quizzes. 60+ languages.
api.lmm.best
Connect AI models, tools and applications with LMM Forge. Explore model access, developer guides and open-source collaboration.
deskintab.dgkhan08.workers.dev
An operating system in your browser, where you and your AI agent share apps, files, and projects through WebMCP.
webmcp.agentsdesk.dev
Meridian Ops