The rows worth reading.
BrainTrust is strong on evaluations and dataset management — a good choice for teams whose primary workflow is prompt experimentation and offline evaluation. For production observability of deployed agents — real-time tracing, cost attribution, guardrails, incident management, and a conversational copilot — Zespan covers the full picture that BrainTrust does not.
| Zespan | BrainTrust | |
|---|---|---|
| Production tracing | Full span waterfall | Limited |
| Agent auto-discovery | Zero config | Not available |
| Agent health scoring | A–F composite | Not available |
| Multi-agent delegation | Not available | |
| Evaluations | Auto + manual, 12 templates | Strong (core feature) |
| Dataset management | Trace-to-dataset | Strong (core feature) |
| Guardrails | 7 types, pre/post | Not available |
| Cost management | Attribution + forecast + recs | Not available |
| Incident management | Full lifecycle | Not available |
| Natural language query | ZespanPilot NLQ | Not available |
| Alerts | Error, latency, cost, eval | Not available |
Which one fits
Pick Zespan when
You're running agents in production and need real-time tracing, not just offline evals.
You need guardrails, runtime safety, or cost controls in production.
You want incident management and alerting alongside quality evaluations.
You want one platform for production observability and evaluation — not two tools.
You need agent monitoring: health scoring, delegation graphs, per-agent cost attribution.
Pick BrainTrust when
Your primary workflow is offline prompt experimentation and dataset curation.
You don't yet have agents in production — you're in the experimentation phase.
You want the most opinionated eval-first workflow and BrainTrust's scoring UX.
Common questions
Does Zespan have strong evaluations like BrainTrust?
Yes. Zespan auto-evaluators run on every new trace with 12 built-in LLM-as-judge templates (correctness, faithfulness, toxicity, relevance, and more). Manual eval runs against datasets are also supported. Eval scores are queryable via ZespanPilot.
Can I do dataset management in Zespan?
Yes. Zespan supports named datasets with up to 500 items per call. You can create datasets from production traces with one click (trace-to-dataset), run batch simulations against them, and browse full run history.
What does Zespan offer that BrainTrust doesn't?
Production tracing with span waterfall, multi-agent delegation graphs, agent health scoring, guardrails (PII, toxicity, format, cost ceiling), cost forecasting, AI cost optimizer, incident management, alerts (eval + cost + latency), and ZespanPilot NLQ — all missing from BrainTrust's current feature set.
Related reading
All posts →AI Agent Observability Tools: 2026 Comparison