Data Sources Configuration
Blockchain Data Feeds
Multi-Chain Data Aggregation
Unified Blockchain Interface
class UnifiedBlockchainClient {
constructor() {
this.providers = {
ethereum: new AlchemyIntegration(),
solana: new SolanaIntegration(),
polygon: new AlchemyIntegration('polygon'),
bsc: new BSCIntegration(),
arbitrum: new AlchemyIntegration('arbitrum')
};
this.dataAggregator = new DataAggregator();
}
async getUnifiedTokenData(tokenAddress, chain) {
const provider = this.providers[chain];
if (!provider) {
throw new Error(`Chain ${chain} not supported`);
}
const rawData = await provider.getTokenData(tokenAddress);
return this.dataAggregator.normalizeTokenData(rawData, chain);
}
async subscribeToMultiChainEvents(tokens, callback) {
const subscriptions = [];
for (const token of tokens) {
const provider = this.providers[token.chain];
const subscription = await provider.subscribeToEvents(
token.address,
(event) => {
callback({
...event,
chain: token.chain,
token: token.address
});
}
);
subscriptions.push(subscription);
}
return subscriptions;
}
}
Data Normalization
Cross-Chain Data Standardization
class DataAggregator {
normalizeTokenData(rawData, chain) {
const baseStructure = {
address: rawData.address,
chain: chain,
name: rawData.name,
symbol: rawData.symbol,
decimals: rawData.decimals,
totalSupply: this.normalizeSupply(rawData.totalSupply, chain),
holders: this.normalizeHolders(rawData.holders, chain),
liquidity: this.normalizeLiquidity(rawData.liquidity, chain),
security: this.normalizeSecurityData(rawData.security, chain),
activity: this.normalizeActivity(rawData.activity, chain)
};
return baseStructure;
}
normalizeSupply(supply, chain) {
// Convert different chain supply formats to standard format
switch (chain) {
case 'ethereum':
case 'polygon':
case 'arbitrum':
return {
total: supply.toString(),
circulating: supply.toString(),
format: 'wei'
};
case 'solana':
return {
total: supply.amount,
circulating: supply.uiAmount,
format: 'lamports'
};
default:
return supply;
}
}
}
Social Media APIs
Twitter Integration
Twitter API v2 Setup
const { TwitterApi } = require('twitter-api-v2');
class TwitterIntegration {
constructor() {
this.client = new TwitterApi({
appKey: process.env.TWITTER_API_KEY,
appSecret: process.env.TWITTER_API_SECRET,
accessToken: process.env.TWITTER_ACCESS_TOKEN,
accessSecret: process.env.TWITTER_ACCESS_SECRET
});
this.readOnlyClient = this.client.readOnly;
}
async searchTweets(query, options = {}) {
const defaultOptions = {
max_results: 100,
'tweet.fields': 'created_at,author_id,public_metrics,context_annotations',
'user.fields': 'verified,public_metrics',
expansions: 'author_id'
};
try {
const tweets = await this.readOnlyClient.v2.search(query, {
...defaultOptions,
...options
});
return this.processTweetData(tweets);
} catch (error) {
throw new Error(`Twitter search failed: ${error.message}`);
}
}
async getInfluencerActivity(usernames, tokenSymbol) {
const influencerData = [];
for (const username of usernames) {
try {
const user = await this.readOnlyClient.v2.userByUsername(username, {
'user.fields': 'verified,public_metrics'
});
const tweets = await this.searchTweets(
`from:${username} ${tokenSymbol}`,
{ max_results: 50 }
);
influencerData.push({
user: user.data,
tweets: tweets,
influence_score: this.calculateInfluenceScore(user.data, tweets)
});
} catch (error) {
console.error(`Failed to get data for ${username}: ${error.message}`);
}
}
return influencerData;
}
processTweetData(tweets) {
return tweets.data.map(tweet => ({
id: tweet.id,
text: tweet.text,
created_at: tweet.created_at,
author_id: tweet.author_id,
metrics: {
retweets: tweet.public_metrics.retweet_count,
likes: tweet.public_metrics.like_count,
replies: tweet.public_metrics.reply_count,
quotes: tweet.public_metrics.quote_count
},
sentiment: this.analyzeSentiment(tweet.text),
entities: this.extractEntities(tweet.text)
}));
}
}
Reddit Integration
Reddit API Monitoring
const snoowrap = require('snoowrap');
class RedditIntegration {
constructor() {
this.reddit = new snoowrap({
userAgent: 'KaizenAI-Monitor/1.0',
clientId: process.env.REDDIT_CLIENT_ID,
clientSecret: process.env.REDDIT_CLIENT_SECRET,
username: process.env.REDDIT_USERNAME,
password: process.env.REDDIT_PASSWORD
});
}
async monitorSubreddits(subreddits, keywords) {
const results = [];
for (const subreddit of subreddits) {
try {
const posts = await this.reddit.getSubreddit(subreddit)
.getNew({ limit: 100 });
const filteredPosts = posts.filter(post =>
keywords.some(keyword =>
post.title.toLowerCase().includes(keyword.toLowerCase()) ||
post.selftext.toLowerCase().includes(keyword.toLowerCase())
)
);
results.push({
subreddit: subreddit,
posts: filteredPosts.map(post => ({
id: post.id,
title: post.title,
score: post.score,
num_comments: post.num_comments,
created_utc: post.created_utc,
author: post.author.name,
url: post.url,
sentiment: this.analyzeSentiment(post.title + ' ' + post.selftext)
}))
});
} catch (error) {
console.error(`Reddit monitoring failed for ${subreddit}: ${error.message}`);
}
}
return results;
}
async getSubredditSentiment(subreddit, tokenSymbol, timeframe = 'day') {
const posts = await this.reddit.getSubreddit(subreddit)
.search({
query: tokenSymbol,
time: timeframe,
limit: 500
});
const sentimentData = posts.map(post => ({
sentiment: this.analyzeSentiment(post.title + ' ' + post.selftext),
score: post.score,
comments: post.num_comments,
timestamp: post.created_utc
}));
return this.aggregateSentiment(sentimentData);
}
}
Intelligence Databases
Threat Intelligence Integration
Security Intelligence Feeds
class ThreatIntelligence {
constructor() {
this.sources = {
chainabuse: new ChainAbuseAPI(),
certik: new CertiKAPI(),
mythx: new MythXAPI(),
immunefi: new ImmunefiBugBounty()
};
}
async checkWalletReputation(walletAddress) {
const results = {};
// Check against multiple threat intelligence sources
for (const [source, api] of Object.entries(this.sources)) {
try {
results[source] = await api.checkAddress(walletAddress);
} catch (error) {
results[source] = { error: error.message };
}
}
return this.aggregateReputationData(results);
}
async getKnownScamPatterns() {
const patterns = await Promise.all([
this.sources.chainabuse.getScamPatterns(),
this.sources.certik.getKnownRisks(),
this.loadLocalPatterns()
]);
return this.consolidatePatterns(patterns);
}
aggregateReputationData(results) {
let riskScore = 0;
const flags = [];
const sources = [];
Object.entries(results).forEach(([source, data]) => {
if (data.error) return;
riskScore += data.risk_score || 0;
if (data.flags) flags.push(...data.flags);
if (data.is_flagged) sources.push(source);
});
return {
overall_risk_score: Math.min(100, riskScore),
flagged_sources: sources,
risk_flags: [...new Set(flags)],
reputation: this.calculateReputation(riskScore, sources.length)
};
}
}
Market Data Providers
Multi-Source Price Aggregation
Price Oracle Network
class PriceOracle {
constructor() {
this.providers = {
coingecko: new CoinGeckoIntegration(),
coinmarketcap: new CoinMarketCapAPI(),
dextools: new DexToolsAPI(),
dexscreener: new DexScreenerAPI(),
uniswap: new UniswapV3Oracle()
};
this.weights = {
coingecko: 0.3,
coinmarketcap: 0.25,
dextools: 0.2,
dexscreener: 0.15,
uniswap: 0.1
};
}
async getAggregatedPrice(tokenAddress, chain = 'ethereum') {
const prices = {};
const errors = {};
// Fetch prices from all providers
for (const [provider, api] of Object.entries(this.providers)) {
try {
prices[provider] = await api.getPrice(tokenAddress, chain);
} catch (error) {
errors[provider] = error.message;
}
}
// Calculate weighted average
const weightedPrice = this.calculateWeightedAverage(prices);
return {
aggregated_price: weightedPrice,
individual_prices: prices,
confidence: this.calculatePriceConfidence(prices),
errors: errors,
last_updated: Date.now()
};
}
calculateWeightedAverage(prices) {
let totalWeight = 0;
let weightedSum = 0;
Object.entries(prices).forEach(([provider, price]) => {
const weight = this.weights[provider] || 0;
weightedSum += price * weight;
totalWeight += weight;
});
return totalWeight > 0 ? weightedSum / totalWeight : 0;
}
calculatePriceConfidence(prices) {
if (Object.keys(prices).length < 2) return 0;
const priceValues = Object.values(prices);
const mean = priceValues.reduce((a, b) => a + b) / priceValues.length;
const variance = priceValues.reduce((a, b) => a + Math.pow(b - mean, 2)) / priceValues.length;
const standardDeviation = Math.sqrt(variance);
// Lower standard deviation = higher confidence
const coefficient = standardDeviation / mean;
return Math.max(0, 100 - (coefficient * 100));
}
}
Security Scanners
Automated Security Analysis
Contract Security Scanner
class SecurityScanner {
constructor() {
this.scanners = {
slither: new SlitherAnalyzer(),
mythril: new MythrilAnalyzer(),
securify: new SecurifyAnalyzer(),
oyente: new OyenteAnalyzer()
};
}
async scanContract(contractAddress, sourceCode) {
const scanResults = {};
// Run multiple security scanners in parallel
const scanPromises = Object.entries(this.scanners).map(async ([name, scanner]) => {
try {
const result = await scanner.analyze(contractAddress, sourceCode);
return [name, result];
} catch (error) {
return [name, { error: error.message }];
}
});
const results = await Promise.all(scanPromises);
results.forEach(([name, result]) => {
scanResults[name] = result;
});
return this.aggregateSecurityResults(scanResults);
}
aggregateSecurityResults(results) {
const vulnerabilities = [];
const warnings = [];
let criticalCount = 0;
let highCount = 0;
let mediumCount = 0;
let lowCount = 0;
Object.entries(results).forEach(([scanner, result]) => {
if (result.error) return;
result.vulnerabilities?.forEach(vuln => {
vulnerabilities.push({
scanner: scanner,
type: vuln.type,
severity: vuln.severity,
description: vuln.description,
line: vuln.line,
recommendation: vuln.recommendation
});
switch (vuln.severity) {
case 'critical': criticalCount++; break;
case 'high': highCount++; break;
case 'medium': mediumCount++; break;
case 'low': lowCount++; break;
}
});
result.warnings?.forEach(warning => {
warnings.push({
scanner: scanner,
message: warning.message,
line: warning.line
});
});
});
return {
security_score: this.calculateSecurityScore(criticalCount, highCount, mediumCount, lowCount),
vulnerability_count: {
critical: criticalCount,
high: highCount,
medium: mediumCount,
low: lowCount,
total: vulnerabilities.length
},
vulnerabilities: vulnerabilities,
warnings: warnings,
scan_timestamp: Date.now()
};
}
calculateSecurityScore(critical, high, medium, low) {
let score = 100;
score -= critical * 25; // Critical issues heavily penalized
score -= high * 15; // High issues significantly penalized
score -= medium * 8; // Medium issues moderately penalized
score -= low * 3; // Low issues lightly penalized
return Math.max(0, score);
}
}
Last updated