Resolve user issues
with simulation-powered checks
Give customers transaction previews before committing capital and dry-run fixes for every reported problem.
Operational dry runs for every onchain move
Enable last-look checks for every transaction that goes through your product and speed up response times for every ticket that does reach support.
Enable last-look checks before signing
Run transaction previews as a last-look check before approving any live transaction. Embed the same functionality into your product to help customers make confident decisions when moving assets.
Diagnose failures with rich, decoded context
Troubleshoot failed transactions, missing transfers, or unexpected reverts with fully decoded onchain context and dry-run fixes before implementing them, without requiring engineering support.
Scale support with AI-assisted resolution
Automate support workflows and close tickets faster by connecting to Tenderly's MCP Server so AI agents can diagnose failures, run simulation checks, and surface failure patterns across onchain usage.
Run simulation-powered checks before and after capital moves
Unify the entire investigation-to-resolution loop on a single operational platform, with the most complete view of onchain activity and user intents behind every issue.
Prevent failed transactions in production
Embed transaction previews into your live product so customers get a last-look check of every transaction before signing. Give customers confidence and peace of mind by showcasing the expected state changes, token transfers, gas costs, and potential errors, reducing the number of failed transactions that reach your support team.
Diagnose the exact reason behind every failure
Fully understand the reason behind and execution of every user issue across protocols and chains. Analyze any address with full context around its onchain activity, contract interactions, and historical behavior. Investigate failed transactions, unexpected reverts, or missing transfers with fully decoded execution and human-readable error messages.
See Console →Dry-run every onchain action
Troubleshoot user issues and validate fixes under the exact production conditions in which they occurred. Reproduce user issues, edge cases, and chain-specific behaviors in virtual environments that mirror live oracle prices, liquidity, and protocol state. Simulate potential fixes by impersonating addresses and overriding balances to validate outcomes before resolution.
See Simulations →Present verified solutions to customers and the team
Replace screenshots and copy-pasted logs with shareable links with the full execution context, decoded transaction outcomes, and reproducible virtual environments. Share verified traces with clients to demonstrate what happened, hand off documented cases to engineering when escalation is required, and keep a complete audit trail for compliance and post-incident reviews.
Scale support with AI-assisted resolution
Eliminate manual reproduction and automate customer support with AI-assisted workflows. Connect to Tenderly's MCP server so agents can diagnose failures and validate fixes against production-synced conditions. Surface recurring failure patterns, correlate user issues, and shorten resolution times while validating every step before anything touches production.
See Tenderly MCP →Single operational dashboard for the entire customer support flow
Embedded transaction previews
Enable a preview of every transaction outcome inside your product through the same simulation engine your team uses for troubleshooting and validation.
Granular transaction tracing & debugging
Identify the exact reason behind a failure with fully decoded traces with opcodes, state changes, events, and gas usage for verified and unverified contracts.
Context-rich DeFi modules
Understand the full onchain activity of any account within your system by analyzing its interactions, asset holdings, and associated addresses across chains.
Reproducible simulations at every step
Model multi-step onchain flows by simulating interconnected transactions or enter simulation mode to impersonate accounts and replay onchain behavior.
State manipulation for faster resolution
Override balances, modify storage slots, impersonate any address, and create custom conditions to validate fixes before recommending them.
Tenderly MCP for AI-assisted workflows
Let AI agents troubleshoot transactions, simulate potential fixes, and identify patterns across tickets, with pre-execution checks at every step.
For every team that supports onchain customers
Customer support, engineering, and operations teams across different operating environments use Tenderly to troubleshoot user issues and shorten issue resolution times.
Resolve user-facing issues across every market and chain your protocol operates on. Diagnose failed swaps, missing liquidity positions, and unexpected reverts with full execution context, and validate fixes against the live state before recommending them to users.
Explore DeFi solutions →Troubleshoot client transactions, custody flows, and tokenized asset operations without escalating to engineering. Investigate failures across every protocol and chain your clients interact with, model recovery paths against live conditions, and resolve issues with a fully documented record for compliance and client reviews.
Explore institutional solutions →Enable key partners and protocols on your chain with essential tooling for fast issue resolution. Give support teams across your ecosystem decoded execution context for every transaction on your network, with full debugging and simulation capabilities for custom precompiles and chain-specific behaviors.
Explore network solutions →How teams dry-run every onchain action with Tenderly
The shared state is a killer feature for us. It saves hours on debugging because I don't have to figure out why a revert happened in the first place, which is the case when everyone has a local fork with a different state.
I can show our clients the transactions we'll initiate on their behalf after they give us their private keys. This way, they don't have to understand what's happening under the hood, but they can visually see the before-and-after effects of the transaction.
When it comes to debugging executed transactions and simulating transactions against existing contracts, everybody I know now uses Tenderly.
