Tenderly

The simulation company for onchain operations. Tenderly lets engineering, finance, and risk teams model every onchain action against a real, live system.

[Tenderly @TenderlyApp]

The infrastructure for onchain finance is in place.

The next step is operating on top of it at an institutional scale.

Today, Tenderly expands its product offering to enable onchain institutions to model every move before capital is exposed. 🧵
https://t.co/Ptwk0b2pks

[Tenderly @TenderlyApp]

Enable teams across your organization to model financial scenarios without complex setups or engineering dependencies.

Anticipate transaction outcomes and strategy performance before they reach production, and move capital with confidence.

[Tenderly @TenderlyApp]

Every onchain decision carries exposure.

Your positions depend on oracle prices, rate curves, and market behavior you don't control.

Testing any of it used to require complex setups & technical expertise.

Now, you can do it code-free.

Here's how 🧵
https://t.co/gpWRm56vMn

[Tenderly @TenderlyApp]

The Tenderly MCP handles everything for you.

🔹 Forks a live chain that mirrors production
🔹 Manipulates prices, balances, and time
🔹 Impersonates any account without a private key
🔹 Analyzes the execution with full onchain context

[Tenderly @TenderlyApp]

Fast-forward any position to any future date in seconds

Model liquidation timing, test alert thresholds, and size a buffer.

Anticipate market movements before real funds are at risk

Set up the Tenderly MCP:
https://t.co/YCzXaG7MHe

[Tenderly @TenderlyApp]

See how your position drifts on its own over time.

Fast-forward a healthy @aave position 30 days with prices frozen.

Then, watch interest move it toward liquidation.

All by prompting the Tenderly MCP. 🧵

[Tenderly @TenderlyApp]

Simulate market movements by having the Tenderly MCP:

→ Spin a mainnet fork with identical conditions
→ Open the position and advance the clock 30 days
→ Apply a full month of interest instantly
→ Re-read the health factor before and after

[Tenderly @TenderlyApp]

Model concentration and withdrawal risk against real positions.

See the impact of LP withdrawals before they affect your capital.

Connect to the Tenderly MCP:
https://t.co/YCzXaG7MHe

[Tenderly @TenderlyApp]

A vault like this one lends deposits into the markets beneath it.

The entire $28.5M came out of a single market (cbBTC/USDC) at once.

Concentration in the vault became a liquidity shock.

[Tenderly @TenderlyApp]

Stress-test this scenario with the Tenderly MCP in plain language:

→ Replicate real onchain conditions with Virtual Environments
→ Step into the largest supplier's position
→ Redeem 80% and trace where the liquidity drains from
→ Read the market rates before and after

[Tenderly @TenderlyApp]

The scenario: the supplier redeems 80% of their position, a $28.5M exit.

The market underneath reprices:

→ Liquidity: $32.1M → $3.6M (−89%)
→ Borrow rate: 4.1% → 15.7%
→ Supply rate: 3.6% → 15.4%

The exit repriced the cost of capital for everyone who remained.

[Tenderly @TenderlyApp]

Stage a whale exit and see how it affects a vault's yield.

Model the impact on yield when the biggest supplier in a $96M @MorphoLabs vault pulls 80% out.

Stage the exit yourself in a code-free conversation with Claude and the Tenderly MCP. 🧵

[Tenderly @TenderlyApp]

The setup: Steakhouse USDC, a $96M @MorphoLabs vault:

👉 $96M total deposits
👉 One supplier holds ~$35.6M
👉 That's ~1/3 of the entire vault

[Tenderly @TenderlyApp]

You don’t need to run complex scripts to test financial moves against onchain state.

Model oracle failures, liquidation, and close-factor edge cases with the Tenderly MCP.

Get started:
https://t.co/YCzXaG7MHe

[Tenderly @TenderlyApp]

Stress-test a protocol’s liquidation logic before the market does it for you.

Find the exact price at which a healthy @aave position gets liquidated.

Crash the WETH price yourself in a code-free conversation with Claude using the Tenderly MCP. 🧵

[Tenderly @TenderlyApp]

How do you run it?

The Tenderly MCP does it for you:

→ Forks the Mainnet with Virtual Environments
→ Moves the WETH price
→ Simulates the liquidation
→ Rewinds the state
→ Applies the second crash

You watch it happen & get the results. 👀