Agentic Index
Dome Systems vs Prefactor (2026)
Both govern a portfolio of agents from outside the runtimes, at 8 and 6 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Dome registers agents, filters tools through an MCP Gateway, enforces per action Cedar policy before execution and audits every governed action across any cloud, in early access. Prefactor is framework agnostic, governing an agent portfolio with identity, quality gates, cost attribution and lifecycle governance. Dome enforces harder with a formal policy language; Prefactor answers the question nobody else does, which is what each agent costs you.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Dome Systems and Prefactor 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 Dome Systems if
- Documented coverage is broader and Cedar as a formal policy language is worth having.
- Enforcement before execution, not detection after, is the control you require.
- MCP Gateway tool filtering matches the architecture you are building.
Choose Prefactor if
- Cost attribution per agent is the number nobody can currently produce for you.
- Quality gates in the lifecycle stop bad agents reaching production.
- Portfolio governance across many agents is the problem, not individual enforcement.
| At a glance | Dome Systems | Prefactor |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | No public pricing; in early access, onboarding select enterprises to work directly with the engineering team. | Not publicly listed |
| Free / trial | Early access; work directly with the engineering team | — |
| Pricing confidence | contact only | contact only |
| Feature | D Dome Systems |
P Prefactor |
|---|---|---|
| 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. |
Partial | Partial |
|
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. |
Partial | 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. |
Partial | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
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. |
Full / Explicit | Partial |
| 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. |
Partial | 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 | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
No / Not documented | Full / Explicit |
| 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 | D Dome Systems |
P Prefactor |
|---|---|---|
|
Entry price Lowest public entry point |
No public pricing; in early access, onboarding select enterprises to work directly with the engineering team. | Not publicly listed |
|
Pricing confidence How public the numbers are |
Contact only | Contact only |
|
Billing Primary billing axis |
enterprise control plane license, likely by agent estate size | — |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Sales call | Mixed |
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