Automate your coworkerin plain languagewith over 20,000 tools, using plain language.
Interact with your agent as aSlack botor in your codebase.

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0+models to query
0+servers to explore
0+tools to use
Plug in any mcp.Build with any tool.Execute with any model.Use any model that supports tool calls with any tool built on the Model Context Protocol standard.Bring your own, or discover 2,500+ servers built by the community.
Integrates seamlessly.Single line to call, get outputs the way you define.
Define your output
analysisstring
required
Market analysis summary
confidencenumber
required
Confidence score (0-100)
actionsarray
optional
Recommended next steps
your-app.ts
import { call } from "furi.so";// Execute your agent with structured outputconst result = await call("my_agent");// console.log(result.analysis);// console.log(result.confidence);// console.log(result.actions);
No matter how long or complicated the task, you'll know what to expect.Save the debugging time.
Optimizein real-timeStop guessing what your agents are doing.
Get complete visibility into performance, costs, and reliability. Every execution, token usage, performance, error, and more logged to a single dashboard.
Memory, built in.Improve your agents based on past executions.
All your executions.Rain or shine, you'll always know what happened.
Many agents, one memory.Run multiple agents with one or dedicated memory.
research_agent_v2•anthropic/claude-3-5-sonnet
1
🔍 perplexity.search
340ms$0.0034
Query: "renewable energy trends 2024"
2
📊 notion.create_page
180ms$0.0067
Title: "Renewable Energy Research"
3
📬 gmail.send_email
120ms$0.0041
To: user@company.com
1.2s
Total time
$0.0142
Total cost
2,847
Tokens used
100%
Success rate
Privacy

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