Token Analytics

12 Blockchain Capabilities Any AI Agent Can Use (MCP Integration Guide)

12 Blockchain Capabilities Any AI Agent Can Use via MCP Integration. ChainAware.ai has published 12 open-source pre-built agent definitions on GitHub giving any AI agent (Claude, GPT, custom LLMs) instant access to 14M+ wallet behavioral profiles, 98% fraud prediction, real-time AML screening, and token holder analysis. No blockchain expertise required. Key agents: fraud-detector, rug-pull-detector, aml-scorer, wallet-ranker, token-ranker, reputation-scorer, trust-scorer, analyst, token-analyzer, whale-detector, wallet-marketer, onboarding-router. 3 multi-agent scenarios: investment research pipeline (50 protocols/week in 2hrs), real-time compliance (70% instant approvals), growth automation (35%→62% onboarding completion). Integration: clone github.com/ChainAware/behavioral-prediction-mcp, set CHAINAWARE_API_KEY, configure MCP client in 30 minutes. Covers 8 blockchains: ETH, BNB, BASE, POLYGON, SOLANA, AVALANCHE, ARBITRUM, HAQQ. chainaware.ai/mcp

ChainAware.ai Complete Product Guide: Web3 Predictive Intelligence for Fraud, Analytics & Growth

ChainAware.ai Complete Product Guide 2026: Web3 predictive intelligence for fraud detection, wallet analytics, token ranking, Dapp growth, and AI agent integration. Powered by 14M+ wallet profiles across 8 blockchains and 1.3B+ predictive data points. Products: Fraud Detector (98% accuracy), Rug Pull Detector, AML Monitoring Agent, Wallet Auditor (free), Wallet Rank, Credit Score, Token Rank, Behavioral Analytics, Growth Agents, Prediction MCP. New: 12 ready-made open-source Claude agent definitions on GitHub — chainaware-fraud-detector, chainaware-onboarding-router, chainaware-wallet-marketer, chainaware-rug-pull-detector, chainaware-aml-scorer, chainaware-wallet-ranker, chainaware-trust-scorer, chainaware-reputation-scorer, chainaware-token-ranker, chainaware-token-analyzer, chainaware-whale-detector, chainaware-analyst. Integration in under 30 minutes. GitHub: github.com/ChainAware/behavioral-prediction-mcp. API key: chainaware.ai/mcp. Published 2026.

ChainAware.ai Token Rank: The Complete Guide to On-Chain Token Due Diligence

Most crypto metrics — holder count, volume, Twitter followers, CoinGecko likes — are cheap to fake. ChainAware Token Rank is built on on-chain truth: the median Wallet Rank of every token holder. The complete guide to using Token Rank for investment due diligence, red flag detection, and holder quality analysis.

How to Identify Fake Crypto Tokens in 2026: Rug Pulls, Long Rug Pulls, and DYOR

How to identify fake crypto tokens 2026: rug pulls, long rug pulls, DYOR, and AI agent integration. 95% of PancakeSwap pools end as rug pulls. 99% on Pump.fun. Instant rug pull: liquidity drained overnight, 100% loss. Long rug pull (pump and dump): slow insider sell-off over weeks. ChainAware AI tools: Rug Pull Detector (checks contracts and LPs, 98% accuracy, free), Token Rank (holder quality via median Wallet Rank), Fraud Detector. For developers and AI agents: ChainAware Prediction MCP exposes the predictive_rug_pull tool via Model Context Protocol — any AI agent (Claude, GPT, custom LLMs) can call rug pull detection programmatically with a contract address and get structured risk scores in real time. Ready-to-use open-source agent definition: github.com/ChainAware/behavioral-prediction-mcp. API key: chainaware.ai/mcp. Published 2026.