Zespan: Agent Observability for AI Teams

Zespan is an agent observability platform built for teams shipping AI applications powered by agents. Whether you’re running a single-step RAG pipeline, a multi-agent coordinator with specialists, or a complex agentic workflow with tool use and handoffs — Zespan captures the complete picture of what your agents are doing at runtime: which tools they called, which models they used, how much it cost, how long each step took, and where things went wrong.

Zespan dashboard showing agent traces, cost breakdown, and real-time KPIs

What you can observe

Full agent traces

Follow a user request across every agent turn, tool invocation, sub-agent delegation, and LLM call. The flame graph shows each span’s latency, cost, and status so you can see exactly where time and money are spent.

Multi-agent visibility

See coordinator-to-specialist handoffs, parallel agent runs, and agent delegation chains rendered as a hierarchy. The agent registry maps every agent in your system and the tools they use.

Tool and retriever tracing

Every tool call your agent makes — web search, database lookup, code execution, vector retrieval — is captured as a linked span with arguments, return values, and latency.

Cost attribution

Token costs attributed per agent, per tool, per model, per user, and per session. Know exactly which agent is driving your bill and what its per-run cost is.

Anomaly detection

Continuous monitoring surfaces statistically significant deviations — cost spikes, latency regressions, error surges, or agents looping unexpectedly.

AI-powered analysis

Ask questions about your agent data in plain English. Get AI-generated root cause analysis when an agent fails. Receive ranked cost optimization recommendations based on your actual usage patterns.

Who Zespan is for

Zespan is built for engineers and teams building production AI applications with agents. If your application makes LLM calls, uses tools, orchestrates multiple agents, or runs RAG pipelines — you need visibility into what’s happening at runtime. Without observability, debugging agent failures means guessing which step in a multi-step workflow went wrong. Zespan gives you the full picture with two lines of SDK setup. You don’t need to change how you build your agents. Wrap your existing LLM clients and frameworks, and Zespan instruments everything automatically — including LangChain chains, Google ADK agents, and custom multi-agent systems.

Pricing

Zespan charges per organization. Start on the Free tier with no credit card required.

Free — $0
Solo — $39/mo
Pro — $149/mo
Team — $299/mo
Scale — Custom

For individual developers exploring Zespan or building early prototypes.


Traces per month	10,000
Data retention	14 days
Projects	2
Team members	1
Agent tracing	Included
Multi-agent traces	Included


Traces per month	100,000
Data retention	30 days
Projects	10
Team members	1
Cost Optimizer	Included
Alerts	Included

For growing teams with multiple agent workloads.


Traces per month	500,000
Data retention	90 days
Projects	Unlimited
Team members	Up to 10
Anomaly detection	Included
Evaluations	Included
ZespanPilot copilot	Included
Root cause analysis	Included

For teams running agents at scale with collaboration requirements.


Traces per month	2,000,000
Data retention	180 days
Projects	Unlimited
Team members	Up to 15
SSO / SAML / OIDC	Included
NL Query	Included
Data export	CSV
Alerts	Unlimited + webhooks

For organizations with high event volumes, enterprise security, or self-hosting requirements.


Traces per month	10M+
Data retention	365 days
Projects	Unlimited
Team members	Unlimited
Self-hosted option	Available
Dedicated SLA	Included
Custom integrations	Included

Ready to start?

Instrument your first agent and see it in the dashboard in under five minutes.

Quickstart

Install the SDK, wrap your agent or LLM client, and see your first trace appear in the dashboard.

​What you can observe