Platform Comparison
How Waxell compares
The only platform that observes and governs your AI agents. Everyone else just watches.
Market Landscape
Everyone observes. Only Waxell governs.
The entire market focuses on watching what agents do. Waxell controls what they can do.
Observe Only
LangChainLangSmithLangfuseArize PhoenixBraintrustDatadogAgentOpsHelicone *W&B Weave *Portkey *Patronus AI *
Observe + Govern* Partial governance via gateway or evaluation only
Waxell
Observability, policy enforcement, cost budgets, tool restrictions, audit trails, and a full agent framework — in one platform.
Feature Matrix
Detailed comparison
| Feature | Waxell | LangChain | LangSmith | Langfuse | Arize Phoenix | Helicone | Braintrust | W&B Weave | Datadog | Portkey | Patronus AI | AgentOps |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Observability | ||||||||||||
| LLM trace tracking | — | — | ||||||||||
| Cost tracking & attribution | — | — | ||||||||||
| Multi-model support (20+) | ~ | ~ | ||||||||||
| Session & conversation tracking | — | ~ | ~ | — | ||||||||
| OpenTelemetry native | — | — | — | ~ | — | ~ | — | |||||
| Real-time dashboards | — | — | ||||||||||
| Evaluation | ||||||||||||
| LLM-as-judge scoring | — | ~ | ~ | ~ | ~ | |||||||
| Dataset management & experiments | — | — | ~ | — | ~ | — | ||||||
| Human annotation queues | — | ~ | ~ | — | ~ | ~ | — | — | — | — | ||
| User feedback & scoring | — | — | ~ | — | — | ~ | ||||||
| Auto-eval on ingest | — | ~ | ~ | ~ | — | ~ | ~ | — | — | ~ | — | |
| Eval framework integrations | — | ~ | ~ | — | ~ | ~ | — | ~ | — | |||
| Governance | ||||||||||||
| Pre-execution policy checks | — | — | — | — | ~ | — | — | — | ~ | — | ||
| Mid-execution enforcement | — | — | — | — | — | — | ~ | — | ~ | ~ | — | |
| Cost budget enforcement | — | — | — | — | ~ | — | — | — | — | ~ | ||
| Rate limiting & throttling | — | — | — | — | ~ | — | — | — | — | |||
| Tool & capability restrictions | — | — | — | — | — | — | — | — | — | — | — | |
| Compliance audit trails | — | ~ | ~ | — | ~ | ~ | ~ | ~ | ~ | ~ | — | |
| Policy recommendations from data | — | — | — | — | — | — | — | — | — | — | — | |
| Agent Framework | ||||||||||||
| Declarative agent SDK | ~ | — | — | — | — | — | — | — | — | — | — | |
| Durable workflow engine | — | — | — | — | — | — | — | — | — | |||
| Pause / resume execution | — | — | — | — | — | — | — | — | — | |||
| Signal-driven triggers | ~ | ~ | — | — | — | — | — | — | — | — | — | |
| Infrastructure | ||||||||||||
| Self-hosted / open-source | ~ | ~ | ~ | ~ | — | ~ | ~ | |||||
| Multi-tenant isolation | — | ~ | ~ | — | ~ | ~ | ~ | ~ | — | ~ | ||
| Enterprise SSO / RBAC | — | ~ | ~ | ~ | ||||||||
| Free tier available | — | |||||||||||
| Transparent public pricing | — | ~ | ~ | |||||||||
Head to Head
How each competitor stacks up
LangChain
Open-source agent framework (LangGraph)
Best at
Most widely adopted agent framework. LangGraph adds durable execution, human-in-the-loop, and memory.
Missing
No built-in observability, governance, or cost tracking. Need LangSmith for that.
Waxell adds
Unified framework + observability + governance in one platform — no separate products needed.
Free (MIT) | LangGraph Platform from $39/seat
LangSmith
Observability & deployment platform for LangChain
Best at
Deep LangChain/LangGraph integration. Managed deployment, tracing, evals, and annotation queues.
Missing
No governance or policy enforcement. Best experience is LangChain-only.
Waxell adds
Framework-agnostic observability with active policy enforcement — not just tracing.
Free (5K traces) | Plus $39/seat | Enterprise
Langfuse
Open-source LLM engineering platform (MIT)
Best at
Best open-source option. OTel-native, acquired by ClickHouse. 19K+ GitHub stars.
Missing
No governance or policy enforcement. Complex self-hosting (Postgres + ClickHouse + Redis).
Waxell adds
Adds governance layer that open-source observability cannot provide — enforce, not just observe.
Free (100K units) | Pro ~$500+ | Self-hosted free
Arize Phoenix
Open-source AI observability & evaluation
Best at
Strong ML monitoring roots. OTel-native. Notebook-first developer experience.
Missing
No governance controls. Enterprise pricing can escalate quickly.
Waxell adds
Goes beyond ML monitoring into active agent governance with budget and tool controls.
Free OSS | AX Free (25K spans) | Pro $50 | Enterprise
Helicone
LLM proxy gateway with observability
Best at
Fastest integration — change one URL. Rust gateway with 8ms P50 latency. Caching.
Missing
Shallow agent-level tracing. Gateway-level rate limiting, not policy-driven governance.
Waxell adds
SDK-level governance with pre-execution policy checks, not just gateway rate limits.
Free (10K req) | Pro $79 | Team $799 | Enterprise
Braintrust
Evaluation-first AI observability
Best at
Most generous free tier (1M spans). Custom Brainstore DB. Strong CI/CD eval integration.
Missing
No governance or runtime enforcement. No native alerting integrations.
Waxell adds
Combines evaluation with active governance — enforce budget limits, not just measure quality.
Free (1M spans) | Pro $249 | Enterprise
W&B Weave
GenAI tracing from the ML experiment tracking leader
Best at
ML experiment tracking pedigree. Broad integrations. Guardrails and monitors.
Missing
Guardrails are evaluation-only (score and log) — they do not block execution.
Waxell adds
Active enforcement, not passive scoring. Waxell blocks bad actions; Weave monitors them.
Free (5 seats) | Pro $60 | Enterprise
Datadog
Enterprise LLM monitoring within infrastructure observability
Best at
Unified LLM + infrastructure monitoring in one platform. Enterprise-grade.
Missing
Very expensive (~$120/day). No free tier. No active governance or enforcement.
Waxell adds
Purpose-built for AI agents with governance, not a feature bolted onto infrastructure monitoring.
No free tier | ~$120/day+ | Enterprise sales
Portkey
AI gateway with guardrails and governance
Best at
Real governance at the gateway layer. 60+ guardrails. 200+ LLM routing. Budget controls.
Missing
Shallow observability depth. Basic evaluation. Governance is gateway-level, not SDK-level.
Waxell adds
SDK-level governance embedded in your code, plus a full agent framework — not just a proxy.
Free (10K logs) | Pro ~$49+ | Enterprise $2K-10K+
Patronus AI
AI evaluation and guardrails specialist
Best at
Best evaluation models (Lynx, Percival). Inline guardrails. Hallucination detection.
Missing
Not an observability platform. No dashboards, cost tracking, or tracing.
Waxell adds
Full observability + governance in one platform, not just evaluation bolted on separately.
$5 free credits | Pay-as-you-go | Enterprise
AgentOps
Agent-native observability with session replay
Best at
Built exclusively for agents. Time-travel debugging. Session replay across multi-agent runs.
Missing
Small ecosystem. 12% performance overhead. No governance or policy enforcement.
Waxell adds
Agent observability plus governance enforcement — control agents, not just replay their runs.
Free (1K events) | Pro $40 | Enterprise
The Difference
Observe vs. Govern
Observability tells you what happened. Governance controls what happens next.
What competitors do
- ObserveRecord traces and LLM calls after they happen
- AlertNotify you when something looks wrong
- LogStore data for later review and debugging
- DashboardShow charts, costs, and latency metrics
- ReportGenerate compliance reports after the fact
What Waxell does
- BlockReject actions that violate policy before they execute
- EnforceActively enforce cost budgets and rate limits in real time
- ControlRestrict which tools and capabilities agents can use
- AuditLog every governance decision with full context and reasoning
- RecommendSuggest new policies based on observed agent patterns
- EvolveProgressive governance — start observing, enforce when ready
The difference is not incremental. Observability tells you what happened. Governance controls what happens next. No other platform in the market combines both.
Start with Observe. Stay for Governance.
Add observability to your existing agents in 5 minutes. Enable governance when you're ready.