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Compare
Compare agent observability tools.
Side-by-side guides to the tools teams use to trace, evaluate, and improve AI agents. Each one covers pricing, strengths, and who the tool suits.
Roundups
Start here if you are choosing a tool for the first time.
Best AI Agent Observability Tools in 2026
Ten agent observability tools compared on what matters in 2026: agent-aware tracing, automatic failure detection, evaluation, pricing units, and fit for different production workflows.
Best AI Agent Evaluation Platforms for Startups (2026)
Papaya and six other evaluation platforms compared on free tiers, first paid steps, and startup programs, with guidance on defining evals from production runs.
Alternatives
Start here if you already use one of these tools and want to see what else is out there.
LangSmith Alternatives (2026): 7 Tools Compared
Papaya and six other alternatives compared on pricing, retention, self-hosting, and workflow fit, including what switching means for LangSmith Engine.
Langfuse Alternatives (2026): 7 Tools Compared
Why teams leave Langfuse, how Papaya and six other alternatives compare, and when Langfuse is still the right call.
Braintrust Alternatives (2026): 7 Tools Compared
The $249 jump, data-plus-scores metering, and enterprise-only self-hosting: compare Papaya and six other alternatives, and when to stay with Braintrust.
Arize Phoenix Alternatives (2026): 7 Tools Compared
How Papaya and six other alternatives compare with Phoenix, what differs in Arize AX, and when licensing or deployment requirements matter.
Datadog LLM Observability Alternatives (2026): 8 Tools Compared
Per-span pricing, 15-day default retention, and no self-hosting: why teams look past Datadog for agent observability, what each alternative is best at, and when Datadog is still right.
Where Papaya fits
Papaya works on top of the traces these tools collect. These pieces explain what it adds.
Agent Optimization vs. Observability: Why Watching Isn't Fixing
Your dashboard saw the bad run and did nothing. The gap isn't between having data and not — it's between seeing what happened and knowing what to change.
The Easiest Platform to Analyze and Improve AI Agents
Most observability tools are glorified JSON navigators. Papaya needs one wrapper and no configuration, and shows you how your agent works, where it fails, and what to fix.