Execution Receipts

What Are Execution Receipts?

Every code execution in Synapse produces a SHA-256 cryptographic receipt — a tamper-proof record of what code ran, what it returned, and when.

Receipt Structure

{
  "execution_id": "exec_a1b2c3d4e5f6",
  "code_hash": "sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
  "result_hash": "sha256:4f3c2b1a9d8e7f6c5b4a3d2e1f0a9b8c7d6e5f4a3b2c1d0e9f8a7b6c5d4e3f2",
  "template": "python3",
  "timestamp": 1715702400000
}

Field	Description
`execution_id`	Unique ID for this execution
`code_hash`	SHA-256 hash of the input source code
`result_hash`	SHA-256 hash of stdout + stderr + exit_code
`template`	Runtime template used
`timestamp`	Unix millisecond timestamp

Use Cases

Audit trails — Prove exactly what code your AI agent executed
Reproducibility — Verify that re-running the same code produces the same result
Compliance — Meet regulatory requirements for auditable AI execution
Tamper detection — Detect if execution results have been modified