Agenta vs Helicone

Detailed side-by-side comparison to help you choose the right tool

Agenta

🟡Low Code

Business AI Solutions

All-in-one LLM development platform. Manage prompts, run evaluations, and monitor AI apps in production. Open-source with team collaboration features.

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Starting Price

Free

Helicone

🔴Developer

LLM Observability

Open-source LLM observability, gateway, and cost analytics platform — proxy your OpenAI, Anthropic, or Bedrock calls through Helicone and get traces, caching, retries, rate limiting, and cost tracking in one line of code.

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Starting Price

Free

Feature Comparison

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FeatureAgentaHelicone
CategoryBusiness AI SolutionsLLM Observability
Pricing Plans73 tiers4 tiers
Starting PriceFreeFree
Key Features
  • Interactive LLM playground with side-by-side prompt comparison
  • Comprehensive prompt versioning with branching and environments
  • Multi-model support for 50+ LLM providers with custom model integration
  • Proxy-Based Request Logging
  • Cost Analytics & Budget Alerts
  • Gateway-Level Caching

Agenta - Pros & Cons

Pros

  • Open-source foundation with MIT licensing providing complete control and avoiding vendor lock-in
  • Unified platform combining prompt management, evaluation, and observability in integrated workflows
  • Enterprise-grade security with SOC2 Type I certification and comprehensive data protection
  • Collaborative features enabling cross-functional teams to work together effectively on LLM projects
  • Self-hosting options available for organizations requiring maximum data privacy and control
  • Comprehensive evaluation framework with both automated and human evaluation capabilities
  • Active open-source community with regular updates and community-driven improvements
  • Full API/UI parity enabling seamless integration into existing development workflows

Cons

  • Self-hosted deployments require meaningful DevOps effort to run, scale, and maintain compared to pure SaaS alternatives
  • Ecosystem and community are smaller than established competitors like Langfuse or Weights & Biases, so third-party tutorials are limited
  • Pro-to-Business pricing jump ($49 to $399/month) is steep for mid-sized teams that outgrow the hobby limits
  • LLM-as-a-judge and automated evaluators still require careful calibration to produce reliable signals on domain-specific tasks
  • Deep integrations with niche agent frameworks or custom orchestration may require manual SDK instrumentation

Helicone - Pros & Cons

Pros

  • 5-minute proxy integration captures full traces, cost, and latency across 20+ providers
  • Real AI gateway features (caching, retries, fallback, key vault) replace a custom proxy
  • MIT-licensed and self-hostable on Postgres + ClickHouse — passes regulated procurement

Cons

  • Proxy mode adds a network hop unless self-hosted in your own region
  • Prompt experiment UX is less mature than dedicated eval platforms like Braintrust
  • Self-hosting requires running ClickHouse, which is an extra ops surface

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🔒 Security & Compliance Comparison

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Security FeatureAgentaHelicone
SOC2✅ Yes✅ Yes
GDPR✅ Yes✅ Yes
HIPAA❌ No❌ No
SSO✅ Yes✅ Yes
Self-Hosted✅ Yes✅ Yes
On-Prem✅ Yes
RBAC✅ Yes
Audit Log✅ Yes
Open Source✅ Yes✅ Yes
API Key Auth✅ Yes✅ Yes
Encryption at Rest✅ Yes
Encryption in Transit✅ Yes
Data ResidencyUS, EU
Data Retentionconfigurable
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