How It Works

Syra is built as a modular intelligence layer that combines multiple data sources, AI reasoning, and flexible delivery platforms. This page explains the architecture, data flow, and key components that power Syra’s trading intelligence.

Architecture Overview

Data Ingestion

Syra continuously ingests data from multiple sources:

Market data from Binance, CoinGecko, DEXScreener
On-chain data from Nansen and Solana RPC nodes
Social sentiment from X/Twitter and news aggregators
Risk data from Rugcheck and Bubblemaps

AI Processing

Data is processed through AI reasoning layers:

Technical indicator calculation (RSI, MACD, etc.)
Sentiment analysis on news and social data
Pattern recognition for smart money behavior
Signal generation with confidence scoring

Intelligence Synthesis

Multiple signals are combined into actionable insights:

Cross-validation across data sources
Risk-aware perspective generation
Structured research with cited sources
Confidence levels and scenario analysis

Multi-Platform Delivery

Intelligence is delivered through multiple channels:

Telegram bot for chat-based access
REST API with x402 pay-per-use
MCP server for AI assistant integration
Autonomous agent workflows on x402scan

System Components

Backend API

The core API (/api) powers all intelligence endpoints:

// Signal generation endpoint
router.get('/signal', requirePayment, async (req, res) => {
  const token = req.query.token || 'bitcoin';
  const signal = await generateSignal(token);
  res.json({ signal });
});

Key Features:

Express.js REST API with x402 payment middleware
MongoDB for data storage and caching
n8n webhook integration for AI processing
Multi-source data aggregation with fallbacks

Data Sources Integration

Market Data
On-Chain Data
Risk & Safety
Social & News

Binance API

Price feeds for major cryptocurrencies
Volume and OHLC data
Correlation matrix calculations
1m, 5m, 15m, 1h, 4h, 1d intervals

CoinGecko API

Simple price endpoint for quick quotes
On-chain token data (Solana, Base, Ethereum)
Pool search and trending pools
Market cap and volume metrics

DEXScreener

Token profiles and community takeovers
TVL tracking across DEXs
Boosted tokens and promotions
Real-time DEX analytics

AI Reasoning Layer

Syra uses AI at multiple stages:

Signal Generation

How signals are generated:

Data Collection — Gather technical indicators, volume, price action
Pattern Recognition — Identify chart patterns and setups
Risk Calculation — Determine optimal entry, targets, stop-loss
Confidence Scoring — AI assigns confidence level (0-100%)
Explanation Generation — Natural language explanation of reasoning

{
  "recommendation": "BUY",
  "entryPrice": "$67,200",
  "targets": ["$69,500", "$72,000", "$75,800"],
  "stopLoss": "$65,100",
  "confidence": 78,
  "reasoning": "Strong bullish divergence on RSI with volume confirmation..."
}

Research Synthesis

Deep research workflow:

Query Analysis — Understand user intent and scope
Source Discovery — Search across web, news, social media
Information Extraction — Pull relevant data from sources
Cross-Validation — Verify facts across multiple sources
Synthesis — Combine into coherent narrative with citations

Uses Jatevo AI models (Claude, GPT-4) via n8n workflows.

Sentiment Analysis

Natural language processing for sentiment:

News headline sentiment scoring
Social media post classification (bullish/bearish/neutral)
KOL influence weighting
Temporal sentiment trend analysis
Confidence-weighted aggregation

Smart Money Detection

Machine learning for wallet classification:

Historical performance analysis
Trading pattern recognition
Portfolio composition analysis
Timing and execution quality scoring
Continuous model retraining

Data Flow

Here’s how a typical signal request flows through the system:

All API requests go through x402 payment verification (except dev routes). This ensures fair usage and sustainable operation.

Payment & Pricing (x402)

Syra uses the x402 protocol for pay-per-use API access:

How x402 Works

Discovery

Agents discover Syra on x402scan directory with endpoint descriptions and pricing.

Request

Agent makes API request to Syra endpoint (e.g., /signal?token=bitcoin).

Payment Challenge

If no valid payment, Syra returns 402 Payment Required with payment instructions.

Payment Settlement

Agent sends USDC payment via x402 protocol and retries request.

Response

Syra validates payment and returns requested data.

Pricing Examples

Endpoint	Cost (USDC)	Description
`/news`	$0.01	Latest crypto news by ticker
`/signal`	$0.10	AI-generated trading signal
`/research?type=quick`	$0.50	Quick research on topic
`/research?type=deep`	$5.00	Deep research with citations
`/token-god-mode`	$10.00	Nansen token god mode (high cost due to Nansen API)

80% of x402 fees go to SYRA buyback & burn. 50% of revenue also funds buyback & burn, creating deflationary pressure.

Platforms & Interfaces

Telegram Bot

Architecture:

Telegram Bot API integration
Command parser and natural language understanding
Session management and user preferences
Response formatting for mobile readability

Key Features:

/signal <token> — Get trading signals
/news <ticker> — Latest news
/list — Supported tokens
Natural language queries

x402 Autonomous Agent

How it works:

Registered on x402scan as discoverable agent
Exposes all endpoints with pricing and schemas
Autonomous agents can discover and pay for intelligence
Runs automated research cycles and monitoring

Use Cases:

Automated market analysis
News and narrative monitoring
Signal interpretation pipelines
Cross-agent intelligence sharing

MCP Server

Architecture:

Model Context Protocol (MCP) implementation
Stdio transport for AI assistant integration
30+ tools exposing Syra APIs
Compatible with Cursor, Claude Desktop, etc.

Workflow:

AI assistant spawns MCP server process
User asks: “What’s the latest Bitcoin analysis?”
AI calls syra_v2_signal tool with {token: "bitcoin"}
MCP server makes HTTP request to Syra API
Response returned to AI for natural language presentation

API Playground

Features:

Interactive API explorer
Privy wallet integration (Solana + Base + email/social)
x402 payment handling
Request/response examples
API key management

Technology Stack

Backend

Runtime: Node.js
Framework: Express.js
Database: MongoDB
Payment: x402 protocol
AI: Jatevo (Claude, GPT-4)

Frontend

Framework: Next.js 16
UI: React 19, Tailwind CSS
Wallet: Privy (multi-chain)
Hosting: Vercel

Blockchain

Primary: Solana
Token: SPL Token ($SYRA)
Payment: x402 (USDC)
DEX: Jupiter integration

Automation

Workflows: n8n
AI Processing: Claude via n8n
Scheduling: Cron jobs
Monitoring: Uptime checks

Scalability & Performance

Caching Strategy

Market data: 1-5 minute cache for price/volume
News/events: 15-30 minute cache
Research: 1-hour cache for identical queries
Token statistics: 5-minute cache

Rate Limiting

Free tier: 10 requests/minute
Paid (x402): No hard limits, pay-per-use
API keys: Custom rate limits

Infrastructure

API hosted on scalable cloud infrastructure
MongoDB for flexible data storage
CDN for static assets
Load balancing for high availability

During high market volatility, some third-party APIs (Nansen, Rugcheck) may experience delays. Syra implements timeout handling and fallbacks.

Development & Testing

Local Development

Run Syra locally with dev routes (no payment required):

# Start API server
cd api
npm run dev

# API runs on http://localhost:3000
# Dev routes: /signal/dev, /news/dev, etc.

Testing Tools

API Playground: Interactive testing with wallet connection
MCP Server: Test with SYRA_USE_DEV_ROUTES=true
Postman Collection: Available for API testing

Security & Privacy

API Security

x402 payment verification on all paid endpoints
Rate limiting to prevent abuse
CORS configuration for browser security
Helmet.js for HTTP security headers
Input validation and sanitization

Wallet Security

Non-custodial agent wallets
TweetNaCl for cryptographic operations
Secure key storage (environment variables)
No private keys in code or logs

Data Privacy

No PII collection without consent
API request logs anonymized
Telegram user IDs hashed
GDPR-compliant data handling

Next Steps

Use Cases

See how different users leverage this architecture.

API Reference

Dive into the technical API documentation.

Integration Guide

Learn how to integrate Syra into your workflows.

Tokenomics

Understand the economics behind x402 payments.

Introduction

Use Cases

How It Works

How It Works

Architecture Overview

System Components

Backend API

Data Sources Integration

AI Reasoning Layer

Data Flow

Payment & Pricing (x402)

How x402 Works

Pricing Examples

Platforms & Interfaces

Telegram Bot

x402 Autonomous Agent

MCP Server

API Playground

Technology Stack

Backend

Frontend

Blockchain

Automation

Scalability & Performance

Caching Strategy

Rate Limiting

Infrastructure

Development & Testing

Local Development

Testing Tools

Security & Privacy

Next Steps

Use Cases

API Reference

Integration Guide

Tokenomics

Build docs developers (and LLMs) love

Introduction

Use Cases

​How It Works

​Architecture Overview

​System Components

​Backend API

​Data Sources Integration

​AI Reasoning Layer

​Data Flow

​Payment & Pricing (x402)

​How x402 Works

​Pricing Examples

​Platforms & Interfaces

​Telegram Bot

​x402 Autonomous Agent

​MCP Server

​API Playground

​Technology Stack

Backend

Frontend

Blockchain

Automation

​Scalability & Performance

​Caching Strategy

​Rate Limiting

​Infrastructure

​Development & Testing

​Local Development

​Testing Tools

​Security & Privacy

​Next Steps

Use Cases

API Reference

Integration Guide

Tokenomics

Build docs developers (and LLMs) love

How It Works

Architecture Overview

System Components

Backend API

Data Sources Integration

AI Reasoning Layer

Data Flow

Payment & Pricing (x402)

How x402 Works

Pricing Examples

Platforms & Interfaces

Telegram Bot

x402 Autonomous Agent

MCP Server

API Playground

Technology Stack

Scalability & Performance

Caching Strategy

Rate Limiting

Infrastructure

Development & Testing

Local Development

Testing Tools

Security & Privacy

Next Steps