What does Ledgerline do?

Ledgerline provides identity, treasury, contracts, and audit infrastructure for AI agents deployed in production.

How is Ledgerline different from LangSmith?

LangSmith focuses on LLM observability. Ledgerline focuses on governance: identity chains, spending controls, policy enforcement, and tamper-evident audit trails for enterprise compliance.

The accountability layer for autonomous AI agents.

Identity, treasury, contracts, and audit infrastructure so your agents can operate in production — with guardrails your compliance team will sign off on.

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The Problem

Enterprises are building autonomous agents that draft contracts, move money, and make decisions on behalf of the organization. Most of these projects stall before production because legal, finance, and security teams have no way to control or audit what agents do.

The gap isn't capability — it's accountability. There is no chain of custody for agent decisions, no enforceable spending limits, and no way to revoke access in real time when something goes wrong.

Ledgerline provides the infrastructure layer that sits between your agents and the real world, giving every stakeholder the controls they need to say yes to deployment.

Four Pillars

Identity

Hierarchical identity management that maps every agent to a human principal. Full provenance from operator to swarm to individual agent action.

Treasury

Virtual card issuing with per-agent spending limits and real-time kill switches. Agents can spend only what they're authorized to, and not a dollar more.

Contracts

Policy-based authorization compatible with Cedar. Define exactly what each agent can do, enforce budgets programmatically, and update policies without redeployment.

Audit

Hash-chained, cryptographic audit log for every agent decision. Tamper-evident records that satisfy internal compliance and external regulators alike.

How It Works

Create identity chain

Set policies and budgets

Define authorization rules, spending limits, and operational boundaries using declarative policy files.

Deploy with confidence

Your agents operate within enforced guardrails. Every decision is logged, every transaction is capped, and you can revoke access instantly.

For Enterprise

Built for legal, finance, and security teams.

Compliance-ready audit trails — Cryptographic logs that meet SOC 2 and internal audit requirements, with full chain of custody from agent action to human principal.
Financial controls at the agent level — Issue virtual cards with per-agent and per-task spending limits. Treasury teams get real-time visibility and hard caps on autonomous spend.
Instant kill switches — Revoke any agent's access, freeze its spending, or shut down an entire swarm in seconds. No waiting for the next deployment cycle.

— How we compare

If you've evaluated LangSmith, Langfuse, and Arize, you've already seen what we don't do.

All three are observability tools. None of them enforce policies, control spend, or produce the audit trail an enterprise compliance team will sign off on. That's the gap Ledgerline fills.

Read the honest comparison →

— Frequently asked

Is Ledgerline a replacement for LangSmith / Langfuse / Arize?

No — they're observability tools. Ledgerline is a governance layer that sits underneath them. Pair them.

Do you support self-hosting?

Yes, the control plane runs on Postgres + Node and can be deployed to your own infrastructure. Most design partners use the managed cloud first, then move sensitive workloads on-prem.

What about SOC 2?

The audit log is hash-chained and tamper-evident — designed specifically to satisfy SOC 2 Type II review and internal audit teams. Type I attestation is in progress.

Which payment rails do you support for treasury?

Virtual cards via Lithic in production today. ACH and wire-via-banking-as-a-service is on the 2026 roadmap.

What language is your SDK in?

TypeScript first, Python next. The control plane API is REST + JSON, so any language with an HTTP client can call it directly.

How is policy authored?

JSON-based policy files today; Cedar (AWS's open-source policy language) integration is in active development for v1.