01
One owner for the full loop
Runtime firewall, LLM and agentic evaluations, observability, and Staso Agent’s sandboxed coding workflow — on one platform.
Compounds
Runtime firewall . Evaluations . Observability . Staso Agent
Agent Reliabilityon Autopilot
Staso watches & evaluates every agent action, blocks mistakes before they execute, and fixes the patterns that cause them, while teams focus on shipping agents.
One platform. 2 lines of code.
- Runtime firewall
- block tool calls in realtime based on rules & policies to stop your agent from making expensive mistake.
- Evaluations
- curate datasets from traces or with your own data, then run LLM & Agentic evaluations with custom rules.
- Observability & Monitoring
- monitor all agent actions, guard violation's & metrics
- Staso Agent
- investigate your agent, edit and test its code in a sandbox, and open a pull request.
The problem
Agents fail in ways your logs can't catch.
01 / 03
$4,200 refund without approval
Agent bypassed the approval flow because the policy lived in the prompt.
02 / 03
47 duplicate API calls in row
No retry budget. No idempotency check. Just a hallucinated loop.
03 / 03
Performance & Quality drops
Those prompt changes you made, did they actually solved anything ? or did they just make things worse.
The gap
Observability shows you the damage. Staso refuses the call that causes it.
The product
Click through it
The same components you'd see inside the dashboard.
mock data · fully interactive
Every tool call. Every token. Every guard decision.
Duration
3.8s
Tokens
2.8K
Cost
$0.021
Spans · Blocked
13 · 1
live · streaming · spanstr_01hq8m2p3n7f9xgrl…
span · treesupport-bot.handle_ticket
j / kcycle spans← / →tabsproduction
Span · customBlocked: issue_refunderror
Duration 2ms
Blocked
refund over $1000 requires human approval
Rules triggered · 1
- refund_over_1000_usdhighAmount $4200 exceeds auto-approval threshold of $1000.
Why Staso
4 bets,
1 platform.
Staso closes the post production loop, so that agent can reliably work on autopilot.
02
Gets smarter per customer
Every blocked call and confirmed failure feeds a pattern database tied to your agents. The system learns what bad looks like for your product, not a generic benchmark.
Proprietary
03
Works the minute you install
Prompt injection, PII, jailbreaks, dangerous operations & 30+ static/llm based judges pre-build — caught on day one.
Zero config
04
Two lines of Python
pip install staso, st.init(), done. Auto-patches OpenAI and Anthropic.
Dev-first
Integrations
Works where your agents already live.
2 line drop-in integrations for all supported SDKs, wire in CLI coding agents with one command & python SDK support for precise control.
Anthropic·SDK
agent.pypython
$ pip install "staso[anthropic]"
import staso as st
from anthropic import Anthropic
st.init(api_key="ak_...", agent_name="support")
# done - st.init() auto-patches the Anthropic SDK
client = Anthropic()
client.messages.create(
model="claude-sonnet-4",
max_tokens=1024,
messages=[{"role": "user", "content": "hi"}],
)Pricing
Start Free, Scale as You Grow.
Personal
Everything you need for an individual user.
$0per month
- 10,000 traces per month, spans included
- 7 days data retention
- Guard in audit mode: see every call it would have blocked
- 3 workspaces & 3 team members with RBAC
Team
RecommendedFor teams running agents in production. Billed per trace, never per span: a 900-step agent session still counts once.
$78per month
Save up to 20% as you scale
20,000 traces / month$39 per 10K
- Everything in Personal
- Guard enforce mode: block bad tool calls in real time
- 30 days retention, 20 workspaces, 10 members
- Volume discounts up to 20%
- Priority support from the founders
Enterprise
For teams beyond 500K traces, or with data residency, SSO, and self-hosting needs.
Custom500K+ traces
- Everything in Team
- Custom volume pricing beyond 500K traces
- Hosting options — hybrid & self-hosted
- Custom retention and rate limits
- Dedicated support and uptime SLA
- Custom SSO & Audit Logs
No credit card. Cancel anytime. EU data residency coming.
Voices
Shipped with design partners.
Engineers running Staso on Claude Code and Codex today.
“Just needed to see what my Claude Code agent was doing across runs. Staso was the quickest to set up and the trace view is clean.”
“I run almost everything through OpenClaw. Wanted to have guardrails for safe codex coding environment.”
“Asked the founders for Codex support and they shipped it in a day. Using it to monitor my Codex runs now.”
FAQ
Still deciding?
01Can i run Staso in Audit only mode ?
Yes, policies can be set as 'audit' or 'enforce' - additionally rules can be set to 'force audit' so even if policy is enforced we allow the actions & monitoring works in both modes
02Can I test my agent before I ship?
Yes. Curate failing traces into a dataset with one click, run your agent against every row, and score the outputs against your own scorers. Regression-test prompt edits and model upgrades from the same platform that caught the failure.
03Is my data safe?
We never train on your data. PII — SSNs, credit cards, API keys, secrets — is stripped before storage. Tenant-isolated, encrypted at rest and in transit.
04Does Staso work for compliance and audit?
Every agent action is traced with full context — who did what, when, why. Guard policies produce an auditable record of every blocked and approved action.
05Can I self-host?
Not yet. Cloud-hosted today. Self-hosted and on-prem are on the roadmap for teams with strict data residency requirements.
The last scroll
Stop reading. Start watching what your agent actually does.
Two lines. Live traces in your dashboard.
No credit card