Secure Agentic Intelligence Layer
console

Confidential & verifiable executionfor AI agents on-chain.

SAILSecure Agentic Intelligence Layer

SAIL is a cryptographic accountability layer for AI agents operating on-chain. For any actions, and any agents, it produces an on-chain receipt that binds what the agent received, what it committed to, and what it executed.

Prove any AI agent on-chain execution

01

What data the agent received

Inputs are hashed before reasoning begins, creating a verifiable record of the exact data the agent saw.

02

What the agent committed to before acting

The decision is encrypted, pinned, and committed on-chain before execution can proceed.

03

Whether execution matched that commitment

Execution is contract-gated against the prior commitment, so mismatched or missing stages revert.

04

Whether the submitted transaction was modified

Transaction bytes are committed before submission, making any in-transit substitution detectable.

Anywhere.Anytime.

Works with every single or multi-agent orchestration.

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Anywhere

From DAO ops to market-making bots, SAIL follows value everywhere agents act.

Anytime

When the stakes spike, verify the full trail without exposing strategy in real time.

Reason privately, commit publicly, reveal selectively.

  • Step 1

    Attest inputs: hash all inputs before reasoning begins.

  • Step 2

    Reason: agent runs with any model or framework.

  • Step 3

    Commit: encrypt, pin, and post commitment hash on-chain.

  • Step 4

    Execute: contract gates execution against the prior commit.

  • Step 5

    Deliver: commit transaction bytes before submission.

  • Step 6

    Audit: authorized reveal verifies input-commit-execute integrity.

Use cases

In DAO treasury automation, it’s hard to prove why a transaction happened before funds move. With the Secure Agentic Intelligence Layer, treasury risk becomes controllable: actions are enforced by policy, and disputes can be investigated without exposing everything by default.

Governance

DAO treasury

In agent-to-agent coordination, there’s no reliable way to know a worker didn’t fabricate an answer. With the Secure Agentic Intelligence Layer, collaboration is safer: risky tasks can be constrained, misbehavior becomes provable, and escalation paths are built in.

Coordination

Agent-to-agent

In regulated workflows, you need audit evidence without exposing strategy to everyone. With the Secure Agentic Intelligence Layer, you can satisfy audits with a tight trail of evidence, while keeping sensitive logic private unless an authorized review is triggered.

Audit

Regulated deployments

In autonomous trading, proving fairness usually means leaking alpha. With the Secure Agentic Intelligence Layer, you can demonstrate integrity after the fact without giving away live strategy, and contain fallout when a trade is questioned.

Finance

Autonomous trading

In credential-proof access flows, approvals often boil down to trust and screenshots. With the Secure Agentic Intelligence Layer, approvals become enforceable and auditable: decisions can be reviewed with evidence, without leaking private credentials.

Access

Credential-proof workflows

Add SAIL to your flow

MCP config

{
  "mcpServers": {
    "sail": {
      "command": "npm",
      "args": ["run", "mcp"],
      "cwd": "$",
      "env": {
        "DOTENV_CONFIG_PATH": ".env.local"
      }
    },
    "sail-production": {
      "url": "https://content-essence-production-3635.up.railway.app/mcp"
    }
  
}

}

Add SAIL once in MCP, then expand from calls to tools to full agent workflows with verifiable commit-before-execute checks.

think_with_sail(), audit_with_sail(), delegate_with_sail()

Keep your flow. Add accountability.