Build Intelligent On-Chain AI Agents

Transforming natural language into structured blockchain data. Build AI applications previously impossible due to data fragmentation, with real-time support for 60+ blockchain networks.

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query.py

app.py

import requests
 
API_URL = "https://api.hiveintelligence.xyz/v1/search"
API_KEY = "Hive_api_key"
 
def query_blockchain(prompt):
    response = requests.post(
        API_URL,
        headers={"Authorization":"Bearer " + API_KEY},
        json={"prompt":prompt}
    )
    return response.json()
 
# Example usage
if __name__ == "__main__":
    result = query_blockchain("What's the price of ETH?")
    eth_price = result["data"]["price"]
    print(f"Current ETH price: ${eth_price}")

As Featured In

Unified Blockchain Intelligence

Everything you need to build AI-powered blockchain applications

Natural Language Query Engine

Ask complex questions about blockchain data in plain English. Our AI-optimized data pipelines transform natural language queries into structured outputs across 60+ networks through a single API.

Real-Time Performance

Industry-leading 30-second data latency with 99.999% uptime guarantee for mission-critical AI applications and time-sensitive blockchain data needs.

Data Latency30s

Uptime99.999%

Standardized JSON Format

All blockchain data is available in a consistent, standardized JSON format, making it easier for developers to build and integrate AI agents or create AI-based applications across multiple chains.

LangChain Integration

Build powerful AI agents with our native LangChain integration. Combine blockchain data with leading LLMs like Claude to create sophisticated crypto assistants with minimal code.

langchain_agent.py

config.py

from langchain_hive import HiveSearch
from langchain_anthropic import ChatAnthropic
from langchain.agents import create_tool_calling_agent, AgentExecutor
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain.schema import HumanMessage
import datetime

# Initialize Hive Search Tool
hive_search_tool = HiveSearch(api_key="your_hive_api_key")

# Initialize LLM (Claude)
llm = ChatAnthropic(model="claude-3-sonnet-20240229", temperature=0, api_key="your_anthropic_api_key")

# Setup prompt template
today = datetime.datetime.today().strftime("%D")
prompt = ChatPromptTemplate.from_messages([
    ("system", f"""You are a helpful crypto assistant. Use the hive search tool to answer queries with real-time blockchain data. The date today is {today}."""),
    MessagesPlaceholder(variable_name="messages"),
    MessagesPlaceholder(variable_name="agent_scratchpad"),
])