Agentic Index
AgentOps vs Voker (2026)
Both turn agent activity into something you can look at, for different audiences, at 6 and 3.5 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
AgentOps is for engineers, with framework aware traces, an open source SDK and devtools for debugging production agents, free to start. Voker is the Amplitude for agents, a provider agnostic SDK turning conversations into structured analytics, automatically detecting intents, corrections and resolutions and tying agent behaviour to business outcomes so whole product teams can measure agents without reading traces, free to two thousand events a month. Traces for the engineer against analytics for the product manager.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. AgentOps and Voker 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
- Documented coverage is materially broader and debugging is the immediate job.
- Your users are engineers who will happily read a trace.
- Framework breadth matters because your agents are not all built the same way.
Choose Voker if
- Product managers need to see agent performance and nobody is going to read traces for them.
- Detecting corrections and resolutions automatically is the signal you actually want.
- Tying agent behaviour to business outcomes is how you will justify continued investment.
| At a glance | AgentOps | Voker |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Free tier · paid Pro tier · Enterprise custom | Free tier of up to two thousand events per month, with paid plans that scale as agent usage grows; exact paid rates were not fully retrievable |
| Free / trial | Free Basic tier (event volume capped) | Free tier to capture analytics from day one, cited as up to two thousand events per month |
| Pricing confidence | public partial | public partial |
| Feature | A AgentOps |
V Voker |
|---|---|---|
| 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 | Full / Explicit |
|
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 | No / Not documented |
| 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 | No / Not documented |
|
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 | No / Not documented |
| 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 | No / Not documented |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
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 |
V Voker |
|---|---|---|
|
Entry price Lowest public entry point |
Free tier · paid Pro tier · Enterprise custom | Free tier of up to two thousand events per month, with paid plans that scale as agent usage grows; exact paid rates were not fully retrievable |
|
Pricing confidence How public the numbers are |
Public, partial | Public, partial |
|
Billing Primary billing axis |
usage | usage based on events, where an event is a user message, assistant message, or tool call, across staged plans |
|
Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Mixed | Self-serve |
More comparisons with AgentOps or Voker
Other matchups in agent infrastructure platforms
Not the pairing you were after? These compare a different set of agent infrastructure platforms on the same 14 capabilities.