Allora RPC Node
Decentralized AI Network

Connect to Allora, the self-improving AI inference network. Experience decentralized machine learning, collective intelligence, and on-chain AI predictions.

1.5 M+

Requests per Day

99.9 %

Network Uptime

< 85 ms

Average Response Time

24/7

Technical Support

Specification Allora Network

Technical characteristics and available endpoints

Allora

Mainnet & Testnet Support

Chain ID TBD
Protocol HTTPS / WSS
Uptime 99.9%
Type AI Inference Network
Focus Machine Learning
Architecture Cosmos SDK

Allora is a decentralized AI inference network enabling self-improving machine learning models through collective intelligence. The network coordinates diverse AI models and data sources to provide superior predictions, with accuracy improving over time as more participants contribute. Built on Cosmos SDK, Allora creates a marketplace for AI inference where models compete and collaborate, enabling applications to access decentralized AI capabilities.

Key capabilities:

  • Decentralized AI inference network
  • Self-improving machine learning
  • Collective intelligence coordination
  • On-chain AI predictions and forecasts
  • Model marketplace and competition
  • Cosmos SDK infrastructure
  • Multi-model aggregation
  • Incentivized accuracy improvements
  • Growing AI agent ecosystem

🔗 RPC Endpoints

HTTPS
https://rpc.crypto-chief.com/allora/{YOUR_API_KEY}
WSS
wss://rpc.crypto-chief.com/allora/ws/{YOUR_API_KEY}

Replace {YOUR_API_KEY} with your actual API key from the dashboard.

What is an Allora RPC Node?

Access decentralized AI infrastructure

An Allora RPC node provides applications with access to a decentralized AI inference network where machine learning models collaborate to provide predictions and forecasts. Allora enables applications to leverage AI without centralized providers, with model accuracy improving over time through collective intelligence and competition.

Why decentralized AI matters

Centralized AI creates single points of failure, censorship risks, and vendor lock-in. Allora decentralizes AI inference — multiple models compete and collaborate, with superior predictions rewarded. This creates a self-improving network resistant to censorship while maintaining transparency and verifiability.

Allora advantages:

  • Self-improving — accuracy increases over time
  • Collective intelligence — multiple models collaborate
  • Decentralized — no single point of failure
  • Transparent — on-chain verification
  • Incentivized — rewards for accuracy
  • Censorship resistant — permissionless access

How collective intelligence works

Allora aggregates predictions from multiple AI models using collective intelligence mechanisms. Models stake tokens on predictions, better predictions earn rewards, and the network learns which models perform best for different tasks. This creates emergent intelligence superior to any single model.

Allora architecture:

  1. Multiple AI models submit predictions
  2. Models stake tokens on prediction confidence
  3. Outcomes verified on-chain
  4. Accurate models earn rewards
  5. Network learns model strengths over time

AI agent economy

Allora enables an AI agent economy where autonomous agents purchase inference, models earn from accuracy, and applications access AI through a decentralized marketplace. This creates sustainable incentives for AI development while maintaining decentralization and transparency.

As AI becomes increasingly important, Allora positions itself as infrastructure for decentralized, verifiable machine learning.

Technical Documentation

Quick start for developers

Supported RPC Methods

Allora uses Cosmos SDK RPC methods:

  • status — node status and chain info
  • block — block data by height
  • tx — transaction queries
  • validators — validator set information
  • query — custom module queries
  • inference — AI prediction queries
  • models — model performance data

Code Examples

💻

JavaScript — Allora Connection:

const { SigningStargateClient } = require('@cosmjs/stargate');

const client = await SigningStargateClient.connect(
  'https://rpc.crypto-chief.com/allora/YOUR_API_KEY'
);

// Get chain info
const chainId = await client.getChainId();
console.log('Allora Chain ID:', chainId);

// Query AI inference
const inferenceQuery = {
  task: 'price_prediction',
  asset: 'BTC',
  timeframe: '24h'
};

// Get collective prediction from multiple models
const prediction = await client.queryContractSmart(
  INFERENCE_CONTRACT,
  { get_prediction: inferenceQuery }
);

console.log('AI Prediction (collective intelligence):', prediction);
💻

Python — Allora Query:

import requests

RPC_URL = 'https://rpc.crypto-chief.com/allora/YOUR_API_KEY'

# Query AI model performance
response = requests.get(f'{RPC_URL}/allora/models/top_performers')
models = response.json()

print('Top AI Models:')
for model in models['models'][:5]:
    print(f"Model: {model['id']}, Accuracy: {model['accuracy']}")

# Get inference result
inference_req = {
    'task': 'market_forecast',
    'parameters': {'asset': 'ETH', 'period': '7d'}
}

result = requests.post(
    f'{RPC_URL}/allora/inference',
    json=inference_req
).json()

print(f"Collective Prediction: {result['prediction']}")
💻

WebSocket — Monitor AI Activity:

const WebSocket = require('ws');
const ws = new WebSocket('wss://rpc.crypto-chief.com/allora/ws/YOUR_API_KEY/websocket');

ws.on('open', () => {
  // Subscribe to inference events
  ws.send(JSON.stringify({
    method: 'subscribe',
    params: ['tm.event=\'NewInference\''],
    id: 1
  }));
});

ws.on('message', (data) => {
  const event = JSON.parse(data);
  if (event.result?.data?.value?.inference) {
    const inference = event.result.data.value.inference;
    console.log('New AI Prediction:', inference.prediction);
    console.log('Models contributing:', inference.model_count);
  }
});

Allora Best Practices

  • Model Selection: Choose appropriate models for your use case
  • Inference Caching: Cache predictions to reduce costs
  • Accuracy Tracking: Monitor model performance over time
  • Stake Management: Understand staking for model participation
  • Collective Intelligence: Leverage multi-model aggregation
  • Testing: Test on Allora testnet before mainnet

Why choose us?

Decentralized AI infrastructure

Collective Intelligence

Infrastructure supporting multi-model AI aggregation delivering <85ms latency with self-improving accuracy.

Verified Predictions

Production infrastructure with on-chain verification and 99.9% uptime for AI inference.

AI Analytics

Monitor model performance, prediction accuracy, inference activity, and network learning.

Global AI Network

Strategically deployed nodes supporting Allora's decentralized AI inference marketplace.

Model Scaling

Infrastructure designed to scale with growing AI model ecosystem and inference demand.

AI Specialists

24/7 support from engineers familiar with machine learning, Cosmos SDK, and decentralized AI.

Examples of Use

Build AI-powered applications

Allora's decentralized AI network enables prediction markets, trading bots, data analytics, and applications requiring machine learning without centralized providers.

Prediction Markets

Build prediction markets leveraging Allora's collective intelligence for accurate forecasts and odds.

Trading Bots

Create AI-powered trading bots using Allora's market predictions and price forecasts.

Analytics Platforms

Develop analytics tools using Allora's AI models for data analysis and insights.

AI Agents

Build autonomous AI agents that purchase inference from Allora's model marketplace.

Risk Assessment

Create risk assessment tools leveraging collective AI intelligence for DeFi, lending, insurance.

Market Intelligence

Build market intelligence platforms aggregating AI predictions across multiple data sources.

Got questions?
we are here to help

Allora is a decentralized AI inference network enabling self-improving machine learning through collective intelligence and model competition.

Multiple AI models submit predictions, stake on confidence, and earn rewards for accuracy. The network learns which models excel at different tasks.

Yes, model operators can contribute predictions, stake tokens, and earn rewards based on accuracy.

Applications query Allora's inference API to get collective predictions aggregated from multiple models.

ALLO is Allora's native token used for model staking, inference payments, governance, and network operations.

Yes, predictions and outcomes are verified on-chain, providing transparency and verifiability.

Accuracy improves over time through collective intelligence. The network rewards better models, creating self-improvement.

Allora supports various inference tasks including price predictions, market forecasts, risk assessment, and data analysis.

Yes, we provide RPC access to both Allora mainnet and testnet for development.

Decentralized AI eliminates single points of failure, prevents censorship, enables transparency, and creates competitive incentives for accuracy.

Pricing that grows with your needs.

Free

Start building on Web3 — no credit card.

$0
  • 5 reqs/sec RPC
  • 5 reqs/min Unified API
  • Ultimate chains
  • WSS, Statistics
  • Community support

Pay for use

Flexible pay-as-you-go for any workload.

From $10
  • 400 reqs/sec RPC
  • 300 reqs/min Unified API
  • 10 reqs/min AML
  • EventStream
  • Ultimate chains
  • WSS, Whitelists, Statistics
  • Support portal

Subscription

From $500 monthly plus 20% extra value.

From $500
  • 700 reqs/sec RPC
  • 500 reqs/min Unified API
  • 5 reqs/sec AML
  • EventStream
  • Ultimate chains
  • WSS, Whitelists, Statistics
  • Support portal

Enterprise

Tailored solution for expert builders

Custom terms

All Subscription features plus:

  • Flexible rate limits
  • Engineering team support
  • Custom SLA
  • Personal manager