Agentic Index
AgentOps vs Helicone (2026)
Both are open source friendly observability options with low entry cost, watching different layers. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
AgentOps watches the agent: framework aware traces and devtools for debugging production behaviour, free to start. Helicone watches the traffic: every request logged, routed, cached and costed through one OpenAI compatible endpoint, free to ten thousand requests a month then 79 dollars. If your question is why did the agent do that, AgentOps; if it is what is this costing and can we cache it, Helicone.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. AgentOps and Helicone are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose AgentOps if
- Agent behaviour is the mystery, and traces need to understand frameworks and tool calls.
- You want devtools for debugging rather than a gateway in the request path.
- Framework breadth across how your team builds agents matters.
Choose Helicone if
- Cost visibility and caching are the reason you are looking, and the gateway pays for itself.
- One OpenAI compatible endpoint in front of everything simplifies your architecture.
- You want logging without instrumenting application code.
| At a glance | AgentOps | Helicone |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Free tier · paid Pro tier · Enterprise custom | From $79/mo · free tier (10k requests/mo) + open source |
| Free / trial | Free Basic tier (event volume capped) | Free Hobby tier: 10,000 requests/month, 1GB storage, 1 seat, no card. Open source and self hostable. |
| Pricing confidence | public partial | public exact |
| Feature | A AgentOps |
H Helicone |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Partial |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
No / Not documented | No / Not documented |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
No / Not documented | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
No / Not documented | No / Not documented |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
No / Not documented | No / Not documented |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Partial | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
No / Not documented | No / Not documented |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A AgentOps |
H Helicone |
|---|---|---|
|
Entry price Lowest public entry point |
Free tier · paid Pro tier · Enterprise custom | From $79/mo · free tier (10k requests/mo) + open source |
|
Pricing confidence How public the numbers are |
Public, partial | Public, exact |
|
Billing Primary billing axis |
usage | Subscription tiers by features and seats, with usage based scaling above included request volume; AI Gateway billed as zero markup provider pass through |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Mixed | Self-serve |
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