Integration layer

Digital Asset API and Integration Architecture

Build stable interfaces around business instructions and lifecycle state instead of exposing raw blockchain transactions as the product model.

Model the business resource

Applications work with accounts, assets, orders, transfers, approvals, and settlements. Nodes expose addresses, nonces, calldata, fees, and blocks. A digital asset API should preserve the network evidence while giving clients a stable business resource that survives retries, fee replacement, and rail changes.

Identifiers need clear scope. Symbols are not asset IDs; addresses are not customer accounts; transaction hashes are not settlement IDs. A structured resource model prevents those concepts from being conflated.

Reliability in a distributed workflow

Idempotency protects against duplicate state changes when clients retry. Explicit state machines distinguish awaiting approval, signing, submitted, included, finalized, settled, rejected, and under review. Structured reason codes allow clients and operations teams to respond correctly.

Webhooks should be signed, retried, replayable, and safe to receive more than once. Clients should be able to retrieve current state after any event rather than rely on delivery order.

Security and delegated authority

API authentication is not the same as transaction authorization. Separate instruction creation, policy approval, and signing. Apply scoped credentials, transaction limits, address controls, and stronger approval for sensitive operations. Avoid exposing private keys or asking approvers to sign opaque payloads.

Audit data should connect the caller, policy result, approver, signer, network transaction, and final business outcome without leaking secrets into general logs.

Reconciliation and change management

Clients need consistent position views, deterministic pagination, historical events, and signed reports. The API should state whether a balance is available, locked, pending, or total and how chain reorganizations are handled.

Versioning should preserve semantics as well as schemas. Deprecation windows, machine-readable specifications, test environments, and migration guidance reduce integration risk.

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