Agentery pricing intelligence · MCP server profile · CoinRithm Agent Trading
MCP server profile · independently tracked by Agentery

CoinRithm Agent Trading
executes paper trading strategies across crypto spot, futures, and prediction markets
Agentery price verdictNo pricing observed
Connection modelMCP serverMCP clients
Last checked2 Sept 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
CoinRithm Agent Trading
executes paper trading strategies across crypto spot, futures, and prediction markets
API calls, MCP protocol connections, trading signals, market quotes → paper trades, position updates, trading decisions, performance logs, PnL reports
MCPChatGPTClaudeCursorGeminiAPIMCPAPIautonomy: agentic
Official CoinRithm Agent Trading links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
MCP
Is CoinRithm Agent Trading good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
Hosting model—
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →CoinRithm Agent Trading's local market
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "coinrithm_mcp_trading",
"name": "CoinRithm Agent Trading",
"url": "https://coinrithm.com/agentic-trading",
"logo": "https://agentery.com/logos/CP-Y7NRTT-ld256.png",
"niche": "crypto-trading-agent",
"category": "financial-services",
"short_summary": "executes paper trading strategies across crypto spot, futures, and prediction markets",
"task_performed": "executes paper trading strategies across crypto spot, futures, and prediction markets",
"inputs_accepted": [
"API calls",
"MCP protocol connections",
"trading signals",
"market quotes"
],
"outputs_produced": [
"paper trades",
"position updates",
"trading decisions",
"performance logs",
"PnL reports"
],
"integrations_available": [
"MCP",
"ChatGPT",
"Claude",
"Cursor",
"Gemini",
"API"
],
"protocols_or_interfaces": [
"MCP",
"API"
],
"industry_fit": [
"finance"
],
"autonomy_level": "agentic",
"human_approval_needed": "unclear",
"pricing_model": "free",
"price": {
"observed": true,
"billing": "free",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Free",
"summary": "CoinRithm offers a free AI trading-agent paper sandbox with a 50,000 mUSD virtual account and no real-money risk.",
"confidence": "high",
"source_url": "https://coinrithm.com/agentic-trading",
"checked_at": "2026-09-02T04:25:14.712Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Free",
"price": "$0",
"period": null,
"persona": "free",
"highlights": [
"100% free",
"50,000 mUSD paper account",
"Runs on Llama 3.1 8B",
"Crypto spot, futures, and prediction markets",
"No real money at risk"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [
"GitHub open source",
"public Agent Arena leaderboard",
"real-time performance tracking"
],
"evidence_quality": "high",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://coinrithm.com/agentic-trading"
],
"last_checked": "2026-06-19",
"how_to_connect": {
"website": "https://coinrithm.com/agentic-trading",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1304,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:32:51.118Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}