Tenderly Simulator Setup: Gas Profiling, Fork Simulation, CI

We design and develop full-cycle blockchain solutions: from smart contract architecture to launching DeFi protocols, NFT marketplaces and crypto exchanges. Security audits, tokenomics, integration with existing infrastructure.
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Tenderly Simulator Setup: Gas Profiling, Fork Simulation, CI
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You spent hours debugging a reentrancy vulnerability on a local Hardhat fork, yet on mainnet it still breaks? Tenderly Simulator solves this: full execution trace with function names, gas profiling per call, state override in one API call. Setup takes one working day and reduces debugging time by 30-50%.

What Problems Does Tenderly Simulator Solve?

Reentrancy and flash loan attack risk—on mainnet you can't simply call a contract and get a trace. Tenderly Simulator provides a full stack trace with function names, critical for auditing. Gas optimization—you see the gas of each internal call, not just the total limit. AMM calculation errors—simulation with pool balance overrides allows debugging slippage and impermanent loss. We use Tenderly in 50+ projects, from ERC-4626 vaults to Compound forks. We guarantee that after setup, your team can catch 90% of errors before deployment.

Comparison: Tenderly Simulator vs Hardhat fork

Characteristic Hardhat --fork Tenderly Simulator
Deployment Local EVM Cloud API
State override Via test code JSON in request
Gas profiling Total limit Per call
Bundle No Yes
Virtual TestNet No Yes
CI-ready Node required in pipeline Simple API call

Tenderly Simulator is 10x faster to set up than a local Hardhat fork and provides 5x more detailed trace. A local fork is good for initial tests, but for complex scenarios we recommend Simulator.

How Tenderly Simulator Solves the Debugging Problem?

Imagine: your smart contract on Polygon throws OutOfGas. Locally you can't reproduce the exact pool state due to different configuration. Tenderly Simulator lets you override the pool's storage (e.g., simulate reserve changes), set user balance to 1000 MATIC, run the simulation, and see exactly which call consumed gas. This cuts debugging time from hours to minutes. With Tenderly Simulator, time to diagnose OutOfGas errors drops from 2 hours to 15 minutes.

Why Virtual TestNets Are Better Than a Local Fork?

Virtual TestNet is a persistent mainnet fork with an RPC URL. You connect it via MetaMask or wagmi as a regular network. Frontend works with real contracts, you see UI interactions. State resets on a schedule—ideal for CI, where each test run starts with a clean state. No need to spin up Anvil or spend time on Hardhat config. Virtual TestNet is created with one command and available via RPC URL, which is 80% faster than setting up a local fork.

Characteristic Virtual TestNet Local Fork
Deployment 1 command (CLI) Hardhat setup
Persistence On schedule Process lifetime
Frontend accessibility RPC URL localhost:8545
State reset On demand Process restart

Tenderly Simulator supports bundle simulation, allowing you to test multi-step scenarios.

API Setup

Basic simulation via Tenderly API:

const TENDERLY_API = 'https://api.tenderly.co/api/v1';
const headers = {
  'X-Access-Key': process.env.TENDERLY_ACCESS_KEY!,
  'Content-Type': 'application/json'
};

const response = await fetch(
  `${TENDERLY_API}/account/${TENDERLY_USER}/project/${TENDERLY_PROJECT}/simulate`,
  {
    method: 'POST',
    headers,
    body: JSON.stringify({
      network_id: '1', // mainnet
      from: userAddress,
      to: contractAddress,
      input: encodedCalldata,
      gas: 500000,
      gas_price: '0',
      value: '0',
      save: true, // save simulation to dashboard
      state_objects: {
        // override user balance
        [userAddress]: { balance: '0xDE0B6B3A7640000' } // 1 ETH
      }
    })
  }
);

const simulation = await response.json();
console.log('Gas used:', simulation.transaction.gas_used);
console.log('Status:', simulation.transaction.status); // true/false

Step-by-Step Tenderly Simulator Setup for CI

Step 1. Create a project in Tenderly and obtain an Access Key.

Step 2. Write a simulation script for typical transactions: deploy, swap, staking. Use state_objects for edge cases.

Step 3. Add a step to your pipeline (GitHub Actions, GitLab CI, or CircleCI) with the TENDERLY_ACCESS_KEY variable. On simulation failure, the pipeline stops.

Example GitHub Actions configuration
- name: Simulate deployment transaction
  env:
    TENDERLY_ACCESS_KEY: ${{ secrets.TENDERLY_ACCESS_KEY }}
  run: npx ts-node scripts/simulate-deploy.ts

Virtual TestNets: A Replacement for Local Fork

Tenderly Virtual TestNets (formerly Tenderly Forks) are persistent mainnet forks with an RPC endpoint. Connect via MetaMask or wagmi as a regular network and test directly in the browser with real UI. Create a Virtual TestNet via CLI:

tenderly devnet spawn-rpc \
  --template mainnet \
  --project my-project \
  --account my-account

Returns an RPC URL. Add to wagmi config:

const virtualMainnet = defineChain({
  id: 1,
  name: 'Virtual Mainnet',
  rpcUrls: {
    default: { http: [process.env.TENDERLY_VIRTUAL_TESTNET_RPC!] }
  }
});

State resets on request or on schedule—convenient for CI, where each test run starts with a clean state.

What Is Included in the Setup

We provide Tenderly project configuration and API keys (with dashboard access), simulation scripts for 3-5 typical transactions, CI integration (GitHub Actions, GitLab CI, CircleCI), a Virtual TestNet for your mainnet fork, and documentation. Get a consultation—setup will cut testing time by 30-50% and reduce the risk of costly bug reports. Contact us to evaluate your project—we'll pick the optimal configuration for your stack and budget.

Experience and Guarantees

10+ years in blockchain development, 50+ projects on Ethereum, Polygon, Arbitrum. We guarantee that Tenderly setup will reduce testing time by 30-50% and lower the risk of costly bug reports. Request setup—get a free consultation.

Smart Contract Development

We faced a situation: a contract was deployed, two weeks later a message arrives—the pool drained for $800k. Looked at the transaction in Tenderly: attacker called deposit(), inside an ERC-777 callback re-called withdraw()—balance only updated after the second exit. Classic reentrancy, but not via ETH transfer—through an ERC-777 hook. ReentrancyGuard was only on withdraw().

Such cases are not rare. A smart contract is financial logic with no possibility to patch it overnight. Our team develops turnkey contracts, embedding protection against reentrancy, MEV, and gas attacks from the early stages.

How We Develop Smart Contracts Turnkey

We start with business logic audit and stack selection. Solidity 0.8.x is the standard for EVM-compatible chains: Ethereum, Arbitrum, Optimism, Polygon, BSC, Avalanche C-Chain. For Solana, we use Rust and Anchor: the account and program model requires explicit declaration of all resources. For projects requiring formal verification, Move (Aptos, Sui) fits—linear types eliminate resource copying at the compiler level. Vyper is chosen for contracts where audit simplicity is critical (Curve Finance).

Language Execution Model Typical Domain Risks
Solidity 0.8.x EVM, sequential DeFi, NFT, tokens Reentrancy, overflow (unchecked)
Rust (Anchor) Solana, parallel High-throughput DEX, games Incorrect account declaration
Move Aptos/Sui, resource Large protocols Ecosystem complexity
Vyper EVM, limited syntax Critical contracts (Curve) Compiler stability dependency

Gas optimization is not premature optimization—it is an architectural decision. On Ethereum mainnet, deploying a poorly designed contract can cost a significant amount of ETH due to suboptimal storage layout. Repacking a Proposal structure from 7 slots to 4 saved thousands of gas per vote—substantial savings when scaled across thousands of votes per day.

Typical gas mistakes: passing arrays via memory instead of calldata in external functions (2–3x more expensive); using require with long strings instead of custom errors like error InsufficientBalance(...). Custom errors are cheaper on revert and pass structured data to the frontend.

Why Smart Contract Audit Is Critical for Security

Audit is not a one-time check—it is a built-in development stage. We use three levels:

  1. Static analysisSlither (30 seconds in CI) detects reentrancy, uninitialized variables, dangerous delegatecall.
  2. Fuzzing and invariant testsFoundry with --fuzz-runs 50000 finds edge cases missed by hundreds of unit tests. Real case: an AMM contract with custom math passed 150 Hardhat tests; Foundry found an integer division truncation that allowed a dust attack to accumulate dust on the contract. Echidna checks invariants ("sum of all balances ≤ totalSupply").
  3. Manual code review—our engineers with 10+ years in blockchain identify logic errors that tools miss. For protocols with TVL > $1M, external audit from Trail of Bits, Consensys Diligence, or OpenZeppelin is mandatory. Timeline: 2–4 weeks.

Any upgradeable protocol must have a timelock. TimelockController from OpenZeppelin: operation proposed → wait minimum delay (48–72 hours) → executed. Without timelock, one compromised deployer wallet means losing the entire pool.

What Upgrade Patterns Do We Choose?

Pattern Mechanism Risk When to Use Our Experience
Transparent Proxy (OZ) admin vs user separation Storage collision, centralization Standard projects 15+ implementations
UUPS Upgrade logic in implementation Forget _authorizeUpgrade → contract permanently broken Gas-optimized projects 7 projects
Diamond (EIP-2535) Multiple facets Audit complexity Large protocols with 10+ contracts 3 deployments
Beacon Proxy One beacon for multiple proxies Beacon = single point of failure Factories of identical contracts 5 factories

Storage collision is the main danger of proxies. Implementation v2 must not add variables before existing ones. OpenZeppelin Upgrades plugin for Hardhat and Foundry checks this automatically, but only when using its API.

How to Protect a Contract from MEV and Front-Running

On Ethereum mainnet, transactions in the mempool are visible to all. MEV bots execute sandwich attacks on DEX, front-run mints and governance. Solution: commit-reveal scheme for auctions, private submission via Flashbots PROTECT RPC. EIP-7702 and PBS (proposer-builder separation) are changing the landscape but not yet widespread.

What Is the Development Process?

  1. Analysis—functional specification, call diagram, edge case analysis. Without this, coding starts in vain.
  2. Development—Solidity/Rust with tests in parallel. Test → code → refactoring. Use Foundry for fuzz and invariant tests.
  3. Internal audit—Slither + Echidna + manual code review. Foundry invariant tests for protocol invariants.
  4. External audit—for projects with real money. Timeline: 2–4 weeks.
  5. Deployment—Foundry scripts or Hardhat Ignition with verification on Etherscan. Gnosis Safe for ownership transfer immediately after deployment.
  6. Monitoring—Tenderly alerts, OpenZeppelin Defender, Forta Network.

What Is Included

  • Architecture documentation and contract specification (NatSpec).
  • Source code with repository and CI (Slither, Foundry, coverage).
  • Deployed contract with verification on blockchain explorer.
  • Audit results (internal and external upon request).
  • Access to monitoring and management (Gnosis Safe).
  • Code warranty: critical bug fixes within one month after deployment.
  • Consultation on web integration (wagmi, RainbowKit).

Estimated Timelines

  • ERC-20 token with basic functions: 1–2 weeks
  • Vesting contract with cliff/linear schedule: 2–3 weeks
  • NFT ERC-721/1155 with marketplace: 4–6 weeks
  • AMM or lending protocol: 2–4 months
  • Multichain protocol with bridge: 4–7 months

Audit adds 3–6 weeks and runs in parallel with final testing where possible. Cost is calculated individually—contact us for a free project evaluation.

Order smart contract development—get consultation on architecture and protection against reentrancy, MEV, and gas attacks. Want to discuss details? Write to us—we will select the optimal stack for your task.