Agentic Index
Arize AI vs Braintrust (2026)
Choose Arize AI when you want AI observability rooted in ML monitoring discipline and choose Braintrust when eval driven development is the workflow you are standardizing. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Arize starts at 50 dollars a month with a free tier plus the open source Phoenix core, while Braintrust offers a free Starter and Pro at 249 dollars a month with usage based overage. Arize suits teams extending existing model monitoring into LLM systems; Braintrust suits product teams iterating on prompts and evals daily.
On the Agentic Index agent infrastructure ranking, Arize AI and Braintrust both clear the bar: each documents all five production contract capabilities in full. 34 of the 186 vendors in the lane clear it. See the agent infrastructure ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Arize AI and Braintrust 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 956 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Arize AI if
- You already run ML observability and want LLM tracing in the same pane
- An open source core (Phoenix) inside a commercial platform hedges lock in
- Monitoring production drift and quality over time is the primary job
Choose Braintrust if
- Prompt experiments, datasets, and regression evals are your daily loop
- Unlimited seats with usage based pricing matches a fast growing team
- You want a managed platform tuned for shipping AI features, not ML ops heritage
| At a glance | Arize AI | Braintrust |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | From $50/mo · free tier + open source | Free Starter (1 GB data, 10K scores) · Pro $249/mo |
| Free / trial | AX Free (25k spans/mo, 1 GB, 15 day retention, 10 Signal issues/mo) and Phoenix open source, both free | Free Starter plan, no card: 1 GB processed data, 10K scores a month, 14-day retention, unlimited users, $10 model credits a month. Qualifying startups can get 6 to 12 months of Pro free. |
| Pricing confidence | public exact | public exact |
| Feature | A Arize AI |
B Braintrust |
|---|---|---|
| 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. |
Partial | Full / Explicit |
|
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. |
Full / Explicit | Full / Explicit |
| 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. |
Partial | 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 | Full / Explicit |
| 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. |
Full / Explicit | Full / Explicit |
|
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 | 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 | A Arize AI |
B Braintrust |
|---|---|---|
|
Entry price Lowest public entry point |
From $50/mo · free tier + open source | Free Starter (1 GB data, 10K scores) · Pro $249/mo |
|
Pricing confidence How public the numbers are |
Public, exact | Public, exact |
|
Billing Primary billing axis |
Flat monthly plan with usage overage on trace spans and ingestion (GB) | usage |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Mixed | Mixed |
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