AgentShield vs Helicone

Enforcement vs Observability — why watching costs after they happen isn't enough.

The Core Difference

Helicone is an observability platform. It tracks your LLM API calls, logs token usage, and shows you dashboards of what already happened. It's excellent for understanding costs after they've been incurred.

AgentShield is an enforcement engine. It evaluates each API call against spend rules before it executes. If a transaction violates a rule — transaction limit, daily cap, velocity threshold — it's blocked instantly in under 1ms.

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Feature Comparison

CapabilityAgentShieldHelicone
Block transactions before execution✅ <1ms eval❌ After-the-fact only
Transaction limit rules✅ Per-call limits❌ Not supported
Daily spend caps✅ Per-agent caps❌ Alerts only
Velocity detection✅ Rolling window❌ Not available
Merchant allowlists✅ Approved providers only❌ Not available
Category blocks✅ Crypto, gambling, etc.❌ Not available
Real-time SSE alerts✅ Instant block notifications✅ Webhooks
API call logging✅ Decision audit trail✅ Full request logging
Request/response inspection❌ Not a debugging tool✅ Core feature
Token-level cost breakdown❌ Focus is prevention✅ Detailed analytics
Zero dependencies✅ Python stdlib only❌ Requires SDK + dependencies
Self-hostable in 60s✅ Single Docker image❌ Complex setup

When to Use Which

Use Helicone when:

You need to understand why costs are high. You want to inspect individual prompts and responses. You're debugging agent behavior and need full request/response logging.

Use AgentShield when:

You need to prevent costs from spiraling. You want hard limits that block transactions before they execute. You're running autonomous agents that could enter infinite loops or retry storms.

Use both together:

Route API calls through AgentShield for enforcement, then log to Helicone for observability. They solve different problems — AgentShield stops the bleeding, Helicone diagnoses it.

The $2,800 Test

If an agent makes 21 API calls at $133 each in 60 seconds at 3 AM:

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