The Best Web3 AI Agent PlatformMCP-Powered by BoostAI
Reshaping Web3 AI Agent infrastructure to build a new era of composable AI Agents.

Supported by cutting-edge encryption and AI technology
Workflow

BoostAI WorkFlow

Model Hub

DeepSeek R1
DeepSeek V3
OpenAI 4O
OpenAI O3/O1

Analyst

Analyze on-chain and off-chain data multi-dimensionally to deliver precise project evaluations for traders.

TOKEN CATOKEN VALUE
DEzkpE...7LZ9Pr6hBz30.5 M

FUNCTIONS

On-chain APIRPC Node
Twitter AgentBuilt-in

Trade Agent

A Web3 transaction agent operates as an intelligent intermediary facilitating seamless ons within decentralized

TOKEN CATOKEN VALUE
79vpE...7LZ9PASDAS12.5 M

FUNCTIONS

Quote&Swap APIJupiter
Analyst AgentBuilt-in

Twitter Knowledge Graph

Official

By identifying and linking tweets, users, and hashtags related to WEB3 KOLs, it uncovers hidden relationship networks.

TOKEN CATOKEN VALUE
D9vpE...7LZPwDCDZ11.2 M

Data process

Model Definition
Graph Extraction
Graph Fusion
Graph Database

Agent Categories

Explore our diverse collection of specialized AI agents designed to meet your specific needs

Agents ShowCase

Experience the most valuable AI agent in web3.

Using BoostAI's advanced features

CASE: This is a case study, if you can code, you can generate a more advanced AI agent based on the platform 0 code, here is the case study.

# Using Token authentication
import requests
# Your API token from the platform dashboard or API settings
token = "tk_095fa33201c94b108aee"
# Use streaming response
response = requests.post(
    "https://BoostAI.top/api/open/agents/{"agentId}/dialogue",
    headers={
        "X-API-Token": token
    },
    json={
        "message": "Hello, Agent!",
        "conversation_id": "optional-conversation-id",
        "init_flag": False
    },
    stream=True  # Enable streaming
)
# Process streaming response
for chunk in response.iter_lines():
    if chunk:
        # Filter out empty lines
        data = chunk.decode('utf-8')
        if data.startswith('data: '):
            # Remove 'data: ' prefix
            content = data[6:]
            print(content)

Deep Research Agent, Seriously.

Deep Research is a specialized project research assistant designed for the crypto that generates comprehensive reports on any topic following a workflow similar to OpenAI and Gemini Deep Research. it allows you to customize the models, prompts, report structure, search API, and research depth.

Model Context Protocol

BoostAI fully integrates the MCP protocol. Any standard MCP Server can be converted into a Tool for Agent invocation after integration. Agents can also be published as MCP Servers, allowing external clients such as Cursor and Claude to invoke them. Additionally, BoostAI builds its own MCP Store to enable the registration, discovery, and invocation of all MCP Servers in the crypto domain.

MCP

Frequently Asked Questions