# ChainAware.ai

> ChainAware.ai — AI-powered blockchain intelligence for DeFi protocols and AI agents. Predictive fraud detection, wallet profiling, rug pull screening, token auditing, and ERC-8004 agent trust scoring across 8 blockchains and 23M+ wallet profiles.

- [ChainAware.ai](https://chainaware.ai/): AI-powered blockchain intelligence for DeFi protocols and AI agents. Predictive fraud detection, wallet profiling, rug pull screening, token auditing, and ERC-8004 agent trust scoring across 8 blockchains and 23M+ wallet profiles.

## Tools
- [Wallet Auditor](https://chainaware.ai/audit): free on-demand behavioral audit of any wallet address. Scores experience level, DeFi activity, portfolio quality, fraud risk, and network connections. No signup required.
- [Fraud Detector](https://chainaware.ai/fraud-detector): AI-powered fraud probability score for any wallet address. Trained on 23M+ behavioral profiles across 8 blockchains. 98% accuracy. Free, no signup required.
- [Rug Pull Detector V3](https://chainaware.ai/rug-pull-detector): predicts rug pull probability for any token pool before collapse. Combines deployer wallet behavioral analysis with smart contract code inspection. 90.1% accuracy on new pools within the first hour of launch.
- [DeFi Credit Score](https://chainaware.ai/credit-score): on-chain creditworthiness score (1-9) derived from wallet behavioral audit, fraud probability, and cash flow analysis. Enables undercollateralised DeFi lending without traditional credit bureaus.
- [Token Audit](https://chainaware.ai/token-audit): 11-module smart contract security analysis. Detects honeypots, hidden mint functions, unrenounced ownership, reentrancy, and rug mechanics. 0-100 risk score across 7 chains. Free, results in under 60 seconds.
- [Agent Trust Score](https://chainaware.ai/agent-trust-score): 0-1000 behavioral trust scoring for ERC-8004 AI agents. Traces ownership to the feeder wallet, cross-references rug pull and honeypot history, and runs a predictive fraud model. 419,000+ agents indexed.
- [Reputation Score](https://chainaware.ai/reputation-score): composite on-chain reputation scoring combining fraud probability, behavioral history, and network quality signals for wallet addresses.
- [Token Rank](https://chainaware.ai/token-rank): holder quality scoring for token contracts. Detects long rug pulls and manufactured communities by analyzing the behavioral profiles of token holders rather than price or volume.
- [Transaction Monitoring](https://chainaware.ai/transaction-monitoring): real-time AML and fraud screening dashboard for DeFi protocols. AI-driven risk scoring on every transaction, MiCA-aligned compliance reporting, no manual review queue.

## Solutions
- [ChainAware Solutions for DeFi protocols and Web3 businesses](https://chainaware.ai/solutions): fraud prevention, compliance screening, growth intelligence, and AI agent trust verification.
- [Web3 AdTech](https://chainaware.ai/solutions/web3-adtech): wallet-level 1:1 targeting and Growth Agents for DeFi protocols. Converts connecting wallets into transacting users at 40-60% rates using on-chain behavioral segmentation.
- [Web3 Analytics](https://chainaware.ai/solutions/web3-analytics): on-chain marketing analytics for DeFi protocols. Intent scoring, experience grading, churn detection, and wallet-level cohort analysis without cookies or device fingerprinting.
- [Credit Score Reports](https://chainaware.ai/solutions/credit-score-reports): bulk on-chain credit assessment for DeFi lending protocols. Enables risk-tiered interest rates and undercollateralised loan products based on verified behavioral creditworthiness.
- [AI-Based Transaction Monitoring](https://chainaware.ai/solutions/ai-based-web3-transaction-monitoring): MiCA-aligned AML screening and transaction risk scoring for DeFi protocols. Autonomous compliance with no manual review queue. Sub-100ms response time.
- [Prediction MCP](https://chainaware.ai/mcp): open-source Model Context Protocol server with 14 tools for fraud detection, rug pull screening, token auditing, credit scoring, and ERC-8004 agent trust scoring. Integrates ChainAware intelligence directly into AI agent workflows.
- [ChainAware MCP Server](https://mcp.chainaware.ai/): hosted Model Context Protocol server (SSE + A2A). 14 tools: predictive_fraud, predictive_behaviour, predictive_rug_pull, credit_score, token_rank, run_token_audit, get_token_audit_result, agents_trust_score, and batch/job management. A2A Agent Card at /.well-known/agent.json. x402 micropayment support. Connect Claude, GPT-4, or any MCP-compatible agent directly.
- [ChainAware Enterprise API Reference](https://swagger.chainaware.ai/): Swagger/OpenAPI spec for the REST API at enterprise.api.chainaware.ai. 5 endpoints: POST /fraud/check (fraud probability), POST /fraud/audit (full behavioral wallet profile), POST /rug/pull-check (rug pull probability), POST /segmentation/wallet-segment (behavior segment and quality score), POST /users/credit-score (on-chain credit score). Auth via x-api-key header.

## Resources
- [ChainAware Statistics](https://chainaware.ai/resources/statistics): live and historical data on rug pull activity, fraud rates, ERC-8004 agent registrations, and wallet behavioral trends.
- [Rug Pull Detector Verification Data](https://chainaware.ai/resources/rugpull-verification): methodology and backtesting results behind the 90.1% detection accuracy claim.
- [Social Analytics](https://chainaware.ai/resources/social-analytics): on-chain social graph and community quality analysis for token projects and DeFi protocols.
- [Scam Database](https://chainaware.ai/scam-db): searchable database of known scam wallets, rug pull operators, and fraud clusters identified by ChainAware's behavioral analysis.
- [ChainAware Support](https://chainaware.ai/support): documentation, contact, and help resources.

## Company
- [ChainAware Pricing](https://chainaware.ai/pricing): accessible tiers from free individual tools to enterprise API access. Fraud detection, token audit, agent trust scoring, and compliance screening.
- [Schedule a Call](https://chainaware.ai/schedule): book a demo or discovery call with the ChainAware team.
- [Strategic Partners & Investors](https://chainaware.ai/strategic-partners): ChainAware's investor and partnership pitch page. Covers the data moat (23M+ wallet personas, 8 blockchains, 2+ years of behavioral training data), third-party validation (CB Insights AI Fraud Prevention Market Map, BNB Chain Kickstart, CertiK, AWS Global Fintech Accelerator, Google Cloud $250K award), live platform statistics, and two product lines (Fraud & Risk, Growth Agents) built on one proprietary dataset.
- [ChainAware Docs](https://chainaware.ai/learn): full documentation for all ChainAware products, APIs, MCP tools, ready-made agents, and use cases.
- [About ChainAware](https://chainaware.ai/aboutus/): AI-powered blockchain intelligence company. Mission, team, and background.

## See Also

- [Blog](https://chainaware.ai/blog/llms.txt): weekly rug pull reports, ERC-8004 agent trust trackers, product launches, and Web3 fraud intelligence articles.
- [Learn Docs](https://chainaware.ai/learn/llms.txt): full documentation for all ChainAware products, APIs, MCP tools, ready-made agents, and use cases.
- [behavioral-prediction-mcp (GitHub)](https://github.com/ChainAware/behavioral-prediction-mcp): open-source Python MCP server. Source code, tool schemas, SSE client examples, and A2A integration for the 14 ChainAware prediction tools. Includes 34 ready-made Claude sub-agents (.claude/agents/) covering fraud, compliance, credit, growth, token audit, and more. MIT licensed.
- [behavioral-prediction-mcp llms.txt](https://raw.githubusercontent.com/ChainAware/behavioral-prediction-mcp/main/llms.txt): full MCP tool schemas, subagent definitions, SSE/A2A integration guides, and usage examples.
- [examples (GitHub)](https://github.com/ChainAware/examples): 36 ready-to-run Python agent examples using the ChainAware MCP with Claude. Covers fraud detection, AML/compliance screening, credit scoring, rug pull checking, token audit, sybil detection, wallet marketing, onboarding routing, DeFi lending risk, governance screening, GameFi, and more. MIT licensed.
- [examples llms.txt](https://raw.githubusercontent.com/ChainAware/examples/main/llms.txt): full tool schemas, agent patterns, shared helper internals, and setup instructions.