Comparison

AgentShield vs Helicone

Helicone monitors your LLM API calls. AgentShield monitors your AI agents — their decisions, risks, costs, and compliance.

Different Tools, Different Problems

Helicone is an LLM gateway and monitoring tool. AgentShield is an agent governance and safety platform. Here's what that means in practice.

Helicone

LLM Gateway + Observability

  • LLM request logging
  • Cost tracking per request
  • Semantic caching
  • Rate limiting & retries
  • Provider routing (100+ models)
  • No agent-level risk analysis
  • No compliance reports
  • No approval workflows
  • No adversarial testing

AgentShield

Agent Governance & Safety Platform

  • Agent tracing with span trees
  • Cost tracking per agent & per model
  • Real-time risk analysis on outputs
  • Human-in-the-loop approvals
  • EU AI Act compliance reports
  • Cost budgets with alerts
  • Adversarial testing suite
  • Framework-agnostic SDK
  • 3 lines of code setup

Request-Level vs Agent-Level

This is the fundamental difference. Helicone sees individual API calls. AgentShield sees the agent as a whole.

What Helicone shows you

POST /v1/chat/completions
Model: gpt-4
Tokens: 150 in / 89 out
Cost: $0.008
Latency: 820ms
Status: 200 OK

The API call succeeded. But what did the agent actually do with it?

What AgentShield shows you

support-bot
├─ LLM: gpt-4 (0.8s, $0.008)
├─ Tool: search_db (0.3s)
├─ LLM: gpt-4 (1.1s, $0.015)
⚠ RISK: Unauthorized commitment
"Promised 50% discount not in policy"

The agent hallucinated a discount. Risk detected before it reaches the customer.

Feature-by-Feature Comparison

A detailed look at what each platform offers.

Feature Helicone AgentShield
Observability
LLM request logging
Agent-level span trees ~
Token & latency tracking
Session grouping
Gateway Features
Semantic caching
Rate limiting
Provider routing & fallbacks
Request retries
Risk & Safety
Real-time output risk analysis
Hallucination detection
Prompt injection detection ~
Adversarial testing suite
Risk-level alerts
Governance
Human-in-the-loop approvals
Approval audit trail
Configurable approval rules
Cost Management
Cost per request
Cost per agent
Budget limits per agent
Budget alerts
Compliance
EU AI Act compliance reports
PDF report download
SOC-2 / HIPAA $799/mo+
Integration
Integration method Proxy (URL swap) SDK (3 lines)
LangChain support ~
CrewAI support
Open source

= Full support    ~ = Partial / manual setup    = Not available

What Helicone Doesn't Do

Helicone is great at monitoring LLM API calls. But autonomous agents need more than API monitoring.

No Agent Risk Analysis

Helicone logs requests and responses. It doesn't analyze whether the agent's output is dangerous, hallucinated, or violates your policies. A 200 OK with harmful content looks the same as a perfect response.

No Compliance Reports

Helicone offers SOC-2 and HIPAA compliance for their own platform — at $799/month. But it generates zero regulatory compliance reports for your AI agents. No EU AI Act support. No audit documentation.

No Approval Workflows

When your agent decides to process a refund, send an email, or modify a database, Helicone won't stop it. There's no approve/reject mechanism. No human-in-the-loop. No governance layer.

No Per-Agent Budget Limits

Helicone tracks cost per request. But there are no per-agent budget caps, no automatic alerts when an agent hits 80% of its budget, and no way to stop a recursive loop before it runs up a $47,000 bill.

Pricing Comparison

Helicone's compliance features start at $799/month. AgentShield includes compliance at $149/month.

Helicone Pro

$79/mo

+ usage-based overages

  • 10K requests included
  • 1-month data retention
  • Alerts & reports
  • No risk analysis or compliance
  • Compliance (SOC-2) = $799/mo Team tier
More value

AgentShield Starter

$49/mo

Predictable pricing

  • 50K events/mo included
  • AI-powered risk analysis
  • Cost tracking with budgets
  • Real-time monitoring
  • Compliance reports at Pro ($149/mo)

Can You Use Both?

Yes. Helicone and AgentShield solve different problems and work well together.

  • 1. Helicone as your LLM gateway — caching, rate limiting, provider routing, request-level cost tracking.
  • 2. AgentShield as your agent governance layer — risk analysis, approval workflows, compliance reports, agent-level cost attribution.

Different layers of the stack. Different problems. Complementary tools.

Which One Should You Use?

It depends on what you're building and what problems you need to solve.

Use Helicone if you need:

  • An LLM API proxy with caching
  • Provider routing & fallbacks
  • Rate limiting at the API level
  • Request-level cost monitoring

Use AgentShield if you need:

  • Risk analysis on agent outputs
  • EU AI Act compliance before Aug 2026
  • Human-in-the-loop for high-risk actions
  • Per-agent cost budgets & alerts
  • Adversarial testing before deploy
  • A governance platform, not just monitoring

Ready to govern your AI agents?

Add risk analysis, approval workflows, cost budgets, and compliance reports to your AI agents. 3 lines of code. Free to start.

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