This project, AlgoEscrow Pro, is a production-ready, open-source toolkit for integrating secure, milestone-based payments into any Algorand dApp.
When two parties transact online for high-value services or goods, a fundamental trust problem exists:
- The Client (buyer) asks: "If I pay first, how do I know I'll get the work?"
- The Provider (seller) asks: "If I do the work first, how do I know I'll get paid?"
Traditional escrow services are slow (days for settlement), expensive (high fees), and centralized, creating single points of failure.
AlgoEscrow Pro replaces the central middleman with an autonomous, on-chain smart contract on the Algorand blockchain. By leveraging Algorand, we create an escrow system that is:
- Fast: Settlements complete in ~4 seconds.
- Cheap: Transaction fees are ~0.002Ⱥ.
- Secure: Funds are locked by immutable PyTeal code.
- Transparent: All parties can track the status of funds and milestones in real-time.
This is not a standalone application, but a reusable toolkit (SDK) that any developer can import to add secure escrow functionality to their platform.
Testnet Application ID: 748858336
View on AlgoKit Lora Explorer: https://lora.algokit.io/testnet/application/748858336
The system is built on a robust, three-part architecture: the core smart contract, the development stack, and the conceptual workflow.
The logic is encapsulated in the AlgoEscrowContract, which manages the state and flow of funds.
Global State:
buyer: The account funding the escrow.seller: The account receiving payments.arbiter: A neutral third party to resolve disputes.totalAmount: The total value locked in the escrow.releasedAmount: The amount already paid to the seller.totalMilestones: The total number of payment tranches.completedMilestones: The number of milestones already approved.status: The current state of the escrow (e.g.,active,disputed,completed).
Key Functions (Components):
createEscrow(buyer, seller, arbiter, totalMilestones): Deployed by the buyer to initialize the contract's state.approveMilestone(milestoneIndex): Called by the buyer to approve a milestone. This triggers an automatic payment oftotalAmount / totalMilestonesto the seller.openDispute(): Called by either the buyer or seller. This freezes the contract and changes the status todisputed.resolveDispute(releaseToSeller, refundToBuyer): Called only by the arbiter. This function distributes the remaining funds (totalAmount - releasedAmount) based on the arbiter's decision.cancelAndRefund(): Called by the buyer only if no funds have been released (releasedAmount === 0), allowing them to cancel and reclaim the total amount.getStatus(): A read-only view method to get the current state for the frontend.
- Blockchain: Algorand (Layer 1)
- Smart Contracts: PyTeal / Algorand TypeScript (puya-ts)
- Development Tools: AlgoKit
- SDK / Client: TypeScript
The architecture is built around three key roles:
- The Client: Funds the escrow contract.
- The Provider: Delivers the service and receives funds as milestones are approved.
- The Arbiter: A mutually-agreed-upon tie-breaker who has no power unless a dispute is formally raised.
This enables two primary workflows:
- "Happy Path": The Client funds, the Provider works, the Client calls
approveMilestone, and the contract automatically pays the Provider. This is repeated for all milestones. - "Unhappy Path": A dispute is raised via
openDispute. The contract is frozen. The Arbiter reviews the evidence off-chain and callsresolveDisputeto terminate the contract and distribute the remaining locked funds.
Ensure the following are installed and properly configured:
- Node.js (v22 or later)
- AlgoKit CLI (v2.5 or later)
- Docker (required for LocalNet)
- Puya Compiler (v4.4.4 or later)
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Clone the Repository:
git clone [https://github.com/danish0703/algoescrow.git](https://github.com/danish0703/algoescrow.git) cd algoescrow -
Bootstrap Your Local Environment: Run the following command from the root project folder to install all dependencies.
algokit project bootstrap all
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Configure Environment: Create a
.env.localnetfile with default configurations.algokit generate env-file -a target_network localnet
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Start LocalNet: Use Docker to initiate a local Algorand network.
algokit localnet start
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Build Contracts: Compile all smart contracts.
algokit project run build
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Deploy to LocalNet: Deploy your compiled contracts to the running local network.
algokit project deploy localnet