Exogram

What is Exogram?

Exogram is a runtime governance layer that sits between autonomous AI agents and your enterprise infrastructure. It evaluates every agent action against deterministic policy, contextual state, and execution boundaries in 0.07 milliseconds, blocking unauthorized requests before they touch your database or APIs.

Top Features:

• Deterministic policy gates: blocks unauthorized agent actions before execution with 0.07ms latency.
• Immutable trust ledger: records every evaluated action so audits stay complete and tamper proof.
• Contextual grounding: checks each request against live operational state before letting agents proceed.
• Hard liability ceiling: caps spend at the gateway so rogue agents cannot rack up bills.

Use Cases:

• Production agent safety: teams gate autonomous agents from writing to live customer systems.
• Compliance enforcement: regulated industries log and prove every action their agents attempted.
• API budget control: stops runaway agent loops from burning through downstream service credits.
• Tool call vetting: filters generated tool payloads before they reach sensitive backend systems.

Who Can Use Exogram?

• Enterprise platform teams: deploying agents into production database and API environments safely.
• Compliance and risk officers: needing deterministic proof of what AI systems were allowed to do.
• AI infrastructure engineers: building agentic workflows that touch real money or customer data.
• Government and finance teams: running autonomous AI inside high stakes operational environments.

Pricing

• Free (0/month): includes 500 evaluations per month with full enforcement on every request.
• Pro ($99/month): covers 50,000 evaluations monthly with a strict $125 liability ceiling.
• Developer ($2.50 per 1K calls): pay as you go with 300 RPM for API first teams.
• Enterprise (custom): tailored capacity, support, and contracts for large production deployments.

Pros and Cons

Pros:

• Ultra low latency: 0.07ms evaluation keeps agent workflows fast even under heavy traffic.
• Deterministic guarantees: policy logic is code, not probabilistic, so behavior stays predictable.
• Spending guardrails: built in liability ceiling prevents nasty surprises from misbehaving agents.

Cons:

• Requires policy authoring: teams must define their own gate logic in Python upfront.
• Niche audience: only useful once you actually run autonomous agents in production environments.
• Free tier limits: 500 evaluations vanish quickly for any nontrivial production workload.

FAQs:

1) What problem does Exogram solve?

It prevents probabilistic AI agents from executing unauthorized actions against deterministic infrastructure like databases and APIs.

2) How fast is enforcement?

Every action is evaluated in roughly 0.07 milliseconds, so agent workflows stay responsive under load.

3) Does Exogram cap how much agents can spend?

Yes, the Pro tier includes a hard $125 maximum liability ceiling that blocks runaway request loops automatically.

4) Where does Exogram sit in my stack?

It runs between your agentic orchestrator and your target environment, intercepting tool call payloads before they execute.

5) Is there a free way to try it?

Yes, the free plan covers 500 evaluations per month with full deterministic enforcement included.