Agentic Index
AlphaBitCore vs OpenBox AI (2026)
Both make agent behaviour provable after the fact, at 8.5 and 6.5 of 14.
AlphabitCore is a control plane governing how models, agents, tools and workflows execute inside regulated financial firms, with policy enforcement, sealed audit records and provable replay. OpenBox enforces identity, authorization and policy at execution, scores risk against OWASP AIVSS and issues tamper proof Proof Certificates, dropping into existing runtimes as a plugin. Provable replay is the stronger claim: reconstructing what the agent saw and did beats attesting that it happened.
Choose AlphaBitCore if
- Documented coverage is broader and regulated financial services is your exact context.
- Provable replay, not just an audit record, is what your examiner will ask to see.
- Governing models and workflows alongside agents is the scope you need.
Choose OpenBox AI if
- Plugin deployment into Temporal, LangChain or Mastra means no architectural change.
- OWASP AIVSS risk scoring is the framework your security team works in.
- You want a focused runtime control rather than a financial services control plane.
| At a glance | AlphaBitCore | OpenBox AI |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Contact sales | 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 |
| Free / trial | No free tier; design partner evaluation. | 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 | A AlphaBitCore |
O OpenBox AI |
|---|---|---|
| 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. |
Full / Explicit | 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. |
Partial | 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. |
Full / Explicit | Partial |
| 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 | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
No / Not documented | 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 AlphaBitCore |
O OpenBox AI |
|---|---|---|
|
Entry price Lowest public entry point |
Contact sales | 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 |
|
Pricing confidence How public the numbers are |
Contact only | Contact only |
|
Billing Primary billing axis |
Enterprise license and procurement; specifics undisclosed. | 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 |
Medium variable cost | Low 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 |