Token Rank

Web3 Growth Platforms Compared: Blockchain-Ads vs Addressable vs Safary vs Slise vs ChainAware.ai (2026)

Comparing the five leading Web3 growth platforms in 2026: Blockchain-Ads, Addressable, Safary, Slise, and ChainAware.ai. This article introduces a three-stage Web3 growth funnel framework — Find (Stage 1), Understand (Stage 2), Convert (Stage 3) — and maps each platform to the stages it covers. Blockchain-Ads leads paid acquisition with wallet-level targeting across 37+ chains and 9,000+ sites, with a documented 19.8x ROAS for Binance. Addressable bridges Web2 and Web3 attribution across 23M wallet-to-social matches. Safary offers analytics, CAC/LTV measurement, and an invitation-only community of 250+ growth leaders. Slise delivers programmatic display inside Web3-native publisher apps without cookie dependency, backed by YC and Binance Labs. ChainAware.ai is the only platform operating at all three stages: behavioral visitor intelligence pre-connect, real-time fraud detection at 98% accuracy, AML/OFAC screening, and Growth Agents that personalize the in-Dapp experience at the moment of wallet connection. ChainAware also provides the only MCP server in this category, enabling AI agents (Claude, GPT, custom LLMs) to query wallet intelligence natively. 14M+ wallets profiled across 8 blockchains. Free tools: Wallet Auditor, Fraud Detector, Token Rank. URL: chainaware.ai/mcp for API access.

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 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.

ChainAware Wallet Rank: The Complete Guide to Web3’s Reputation Score

ChainAware Wallet Rank: The complete guide to Web3’s reputation score. Wallet Rank is a single consolidated score synthesizing 10 on-chain parameters across 14M+ wallets on Ethereum, BNB, Solana, Base, and Haqq: Risk Willingness, Experience (1-5), Risk Capability, Predicted Trust (98% accuracy), Intentions (Prob_Trade, Prob_Stake), Transaction Categories, Protocol Diversity, AML Analysis, Wallet Age, and Balance. Use cases: airdrop sybil defense, investor screening, DeFi lending risk tiers (live at SmartCredit.io), community gating, NFT anti-bot protection, and talent screening. Includes chainaware-wallet-ranker — the open-source Claude agent that calls predictive_behaviour MCP tool to return full behavioral profiles, experience level, fraud status, and personalized recommendations for any wallet. Integration guide with Node.js and Python examples. GitHub: github.com/ChainAware/behavioral-prediction-mcp. API: chainaware.ai/mcp.

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.