Agentic Index
OpenBox AI vs Prefactor (2026)
Both govern a portfolio of agents from outside the frameworks that run them, at 6.5 and 6 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
OpenBox enforces identity, authorization and policy at the point of execution, scores risk against the OWASP AIVSS framework and produces tamper proof cryptographic Proof Certificates, dropping into Temporal, LangChain and Mastra as a plugin. Prefactor is a framework agnostic control plane governing an agent portfolio with identity, quality gates, cost attribution and lifecycle governance. OpenBox is stronger on proving what happened; Prefactor is stronger on managing the portfolio, including what each agent costs.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. OpenBox AI 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 OpenBox AI if
- Cryptographic proof of what an agent did is what your audit or regulator will want.
- OWASP AIVSS scoring gives you a framework your security team already recognizes.
- Plugging into Temporal, LangChain or Mastra matches the runtimes you already use.
Choose Prefactor if
- Cost attribution per agent is the number nobody can currently produce for you.
- Quality gates in the lifecycle is how you intend to stop bad agents reaching production.
- Portfolio management across many agents is the problem, not proving individual actions.
| At a glance | OpenBox AI | Prefactor |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | No specific rates retrievable; the platform is stated to be available with no usage limits from day one and pricing scales with enterprise governance needs | Not publicly listed |
| Free / trial | The launch states the entire platform is available with no usage limits from day one, though whether an entry tier is free was not confirmed | — |
| Pricing confidence | contact only | contact only |
| Feature | O OpenBox AI |
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. |
No / Not documented | 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. |
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. |
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. |
Partial | 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. |
Partial | 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. |
No / Not documented | 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. |
Partial | 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 | O OpenBox AI |
P Prefactor |
|---|---|---|
|
Entry price Lowest public entry point |
No specific rates retrievable; the platform is stated to be available with no usage limits from day one and pricing scales with enterprise governance needs | Not publicly listed |
|
Pricing confidence How public the numbers are |
Contact only | Contact only |
|
Billing Primary billing axis |
not published as rates; the platform is stated to be available with no usage limits from day one, scaling with enterprise governance requirements | — |
|
Variable cost Workload / overage exposure |
Low 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 |
Mixed | Mixed |
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