DeepCore WorkFlow
Model Hub
Analyst
Analyze on-chain and off-chain data multi-dimensionally to deliver precise project evaluations for traders.
FUNCTIONS
BSC Trade Agent
A Web3 transaction agent operates as an intelligent intermediary facilitating seamless ons within decentralized
FUNCTIONS
Twitter Knowledge Graph
OfficialBy identifying and linking tweets, users, and hashtags related to WEB3 KOLs, it uncovers hidden relationship networks.
Data process
Agent Categories
Explore our diverse collection of specialized AI agents designed to meet your specific needs
Using DeepCore's advanced features
Case:This is a case study,if you can code,you can generate a more advance AI A gent based on the Platform O code,here yi 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://deepcore.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)DeepResearch Agent, seriously.
DeepResearch 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.
Deep Context Protocol
DCP is an open protocol that standardizes how applications provide context to LLMs. Think of DCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, DCP provides a standardized way to connect AI models to different data sources and tools.
