01
One owner for the full loop
Runtime firewall, LLM/Agentic evaluations, self-heal includes diagnosis + code aware autofix pull requests & observability — on one platform.
Compounds
Runtime firewall . Evaluations . Self-heal . Observability
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.
- Self-heal
- diagnose and autofix with trace, conversation, code & evaluation history as contexts.
- Observability & Monitoring
- monitor all agent actions, guard violation's & metrics
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, st.init(), patch_openai(). Built for engineers who ship today.
Dev-first
Integrations
Works where your agents already live.
2 line drop-in integrations for all suppoerted SDK's, 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 staso.integrations import patch_anthropic
from anthropic import Anthropic
st.init(api_key="ak_...", agent_name="support")
patch_anthropic()
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
- Full platform access
- 10,000 traces per month
- 30 days data retention
- 3 workspaces & 3 team members with RBAC
Team
RecommendedFor teams running agents in production. Pay only for the traces you send.
$78per month
Save up to 20% as you scale
20,000 traces / month$39 per 10K
- Everything in Personal
- Unlimited workspaces and users
- 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.
Blog
Notes from production.
Postmortems, failure classes, and the runtime instrumentation we wish more agent teams shipped with.
The last scroll
Stop reading. Start watching what your agent actually does.
Two lines. Live traces in your dashboard.
No credit card