Agentic Index
Baz vs cubic (2026)
Both review every pull request with whole codebase context and the gap is wide, 11.5 of 14 against 6.5.
Cubic reviews each pull request against the whole codebase, catches bugs, enforces rules written in plain English and runs background scans that find and fix issues, free for twenty reviews a month and free for public repositories. Baz covers the lifecycle with a benchmark leading review agent, specification validation and a pre code plan gateway. Cubic is the cheaper way to start; plain English rules are its best idea, because a rule your team can read is a rule your team will maintain.
Choose Baz if
- Documented coverage is nearly twice as deep across the matrix.
- Governing agent written code across the lifecycle is what you are buying.
- The pre code plan gateway is capability nothing else in this cluster has.
Choose cubic if
- Free for twenty reviews a month and free for public repositories removes the decision.
- Rules written in plain English is how your team will actually keep standards current.
- Background scans that find and fix without waiting for a pull request suit your workflow.
| At a glance | Baz | cubic |
|---|---|---|
| Category | Coding agent | Coding agent |
| Entry price | Free trial and on demand starter on the GitHub Marketplace; paid team and enterprise pricing not fully public | Free (20 reviews/mo; free for public repos) · Team ~$30-40/dev/mo (40k lines) · Pro ~$79-99/dev/mo (nightly scans, auto-fix) · Enterprise custom |
| Free / trial | Free trial and an on demand starter plan on the GitHub Marketplace | Free/Starter plan ($0): 20 PR reviews/month, up to 5 custom agents, auto PR descriptions, custom context, integrations (Jira/Linear/Asana/Notion), unlimited AI wikis. Free and unlimited for public repositories. 2-week free trial (no credit card). |
| Pricing confidence | public partial | public partial |
| Feature | B Baz |
c cubic |
|---|---|---|
| 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 | 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. |
Full / Explicit | 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. |
Full / Explicit | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
No / Not documented | 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. |
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. |
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 | No / Not documented |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
Partial | Partial |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | B Baz |
c cubic |
|---|---|---|
|
Entry price Lowest public entry point |
Free trial and on demand starter on the GitHub Marketplace; paid team and enterprise pricing not fully public | Free (20 reviews/mo; free for public repos) · Team ~$30-40/dev/mo (40k lines) · Pro ~$79-99/dev/mo (nightly scans, auto-fix) · Enterprise custom |
|
Pricing confidence How public the numbers are |
Public — partial | Public — partial |
|
Billing Primary billing axis |
per seat team and enterprise tiers, with a free trial and on demand starter option | Per-developer/month subscription tiers with a monthly reviewed-line allowance (added/deleted diff lines cubic reads); free tier capped by monthly review count; enterprise custom |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tierTrial
|
Free tierTrial
|
|
Buying motion Self-serve vs sales call |
Mixed | Self-serve |