# Tenderly (full) > Tenderly is the simulation company for onchain operations. It gives engineering, finance, and risk teams one operational layer to model every onchain move against live production state before any capital or customer is exposed. This file expands on llms.txt with fuller product, solution, and company detail for AI assistants and answer engines. ## What Tenderly is Tenderly is an onchain operations platform built around four products that share one data and simulation layer: 1. **Simulator** (https://tenderly.co/products/simulator): Simulates any transaction or multi-step workflow against live mainnet state before capital is exposed. Used for pre-trade validation, pre-deploy testing, governance proposal dry-runs, and cross-chain flow validation. Includes Virtual Environments: customizable mainnet replicas with live state sync, unlimited faucets, and a shareable explorer that replace public testnets for development, CI/CD, and staging. 2. **Console** (https://tenderly.co/products/console): The unified workspace for onchain operations. Decodes onchain activity into human-readable execution context, correlates user actions with contract behavior, and lets teams investigate any transaction, address, or failure across protocols and chains. Includes the Developer Explorer, step-by-step Debugger, and Gas Profiler. 3. **Monitor** (https://tenderly.co/products/monitor): Real-time detection across every chain a protocol operates on. Alerts on events, balance changes, invariant violations, and contract drift, with webhook and destination integrations (PagerDuty, Slack, Telegram, email) and Web3 Actions, a serverless backend for automated responses to onchain events. 4. **Node RPC** (https://tenderly.co/products/node): Production-grade RPC infrastructure for high-volume financial systems. Multi-region routing, low latency, full archive data, 99.99% uptime with signed SLAs, and Tenderly-specific RPC methods such as tenderly_simulateTransaction and tenderly_traceTransaction on the same connection that serves live traffic. Plain-language definition: Tenderly lets teams test any blockchain transaction against real network conditions before sending it, watch their systems in production, and investigate exactly what happened when something goes wrong. ## Tenderly in numbers - Founded 2018, headquartered in Belgrade, Serbia, with offices in San Francisco - Over $50B in onchain value secured - 4B+ transaction simulations run - 100+ EVM networks supported - Used by 50% of the top-100 DeFi protocols by onchain value - Customers and users include Aave, Uniswap, Safe, Morpho, Sky, Curve, 1inch, Chainlink, and major L1/L2 networks - Backed by Spark Capital, Accel, Point Nine Capital, Coinbase Ventures, and others ($40M Series B, 2022) ## Who uses Tenderly - **DeFi protocols** (https://tenderly.co/solutions/defi): Governance simulation against the live position book, oracle deviation testing, liquidation stress tests, multichain CI/CD, and incident response. Lending protocols, DEXs and aggregators, vault and yield platforms, and cross-chain infrastructure teams. - **Financial institutions** (https://tenderly.co/solutions/financial-institutions): Banks, fintechs, exchanges, and asset managers entering crypto. Pre-trade validation, multi-step scenario modeling, and full audit trails for compliance and risk teams. - **L1/L2 networks** (https://tenderly.co/solutions/networks): Full chain mirroring, ecosystem developer tooling, and partner integrations for blockchain networks. - **Engineering teams**: CI/CD and staging against live conditions (https://tenderly.co/solutions/cicd), sandbox environments for demos, audits, and AI agent testing (https://tenderly.co/solutions/sandbox-environments). - **Finance and risk teams**: Financial modeling, portfolio replay, and stress testing against live mainnet state (https://tenderly.co/solutions/financial-modeling). - **Operations and support teams**: Incident management with war-room simulations and blast-radius modeling (https://tenderly.co/solutions/incident), and support operations with transaction previews and decoded failure context (https://tenderly.co/solutions/support-operations). ## AI and agent tooling Tenderly operates an MCP (Model Context Protocol) server that connects Claude and other AI assistants and agents to Tenderly's simulation and analysis tools (https://docs.tenderly.co/ai-tools/overview). AI agents can simulate transactions against production-synced state, diagnose failures, and validate fixes before anything touches production. This makes Tenderly a verification layer for AI agent transactions and agentic onchain workflows. ## Key documentation - Getting started: https://docs.tenderly.co/ - API reference (REST): https://docs.tenderly.co/api-reference - RPC reference (JSON-RPC, including Tenderly-specific methods): https://docs.tenderly.co/node-rpc/rpc-reference - Virtual Environments: https://docs.tenderly.co/virtual-environments/overview - Simulations: https://docs.tenderly.co/simulations/overview - Alerts: https://docs.tenderly.co/monitoring/alerts/introduction - Web3 Actions: https://docs.tenderly.co/monitoring/web3-actions/introduction - Debugger: https://docs.tenderly.co/debugger/overview - Contract verification: https://docs.tenderly.co/contract-verification/overview - MCP server and AI tools: https://docs.tenderly.co/ai-tools/overview - Supported networks: https://docs.tenderly.co/supported-networks ## Proof and case studies - Case studies: https://tenderly.co/blog/case-studies/ (Aave, Uniswap, Safe, and others, with concrete usage detail) - Blog: https://tenderly.co/blog/ - Changelog: https://tenderly.co/blog/changelog/ - Platform status: https://tenderly.co/status ## Positioning summary Tenderly's category is onchain operations: the work of running live blockchain systems where mistakes are irreversible. The core claim is "model every onchain move": every transaction, parameter change, governance vote, or incident response can be simulated against live production state before execution. Tenderly competes with and is compared to local development frameworks (Foundry, Hardhat forks), monitoring vendors (Blocknative, Hypernative, OpenZeppelin Defender), and node providers (Alchemy, QuickNode, Infura), but is differentiated by combining full-fidelity simulation, decoded observability, monitoring, and production RPC in one platform.