AI Agent Observability — by Elitery

Your AI agents
are the new
shadow IT.

Muster discovers every AI agent running in your organisation — including the ones nobody declared — and tells you exactly what risk they carry.

Start free trial — no card required View documentation

muster-observe / discovery

live

You declared

Muster found

credit-score-assistantundisclosed

DNS_QUERYCRITICAL

invoice-processor-v2

BEACONHIGH

n8n-credit-automationundisclosed

N8NHIGH

hr-screening-tool

LOG_PATTERNHIGH

k8s-autogen-workerundisclosed

K8S_WEBHOOKCRITICAL

15 agents undisclosed · $9,200/mo unattributed spendView all →

Risk Classification

Not all agents
carry equal risk.

Muster runs 15 risk rules on every agent — the moment it's discovered. Framework, ownership, PII exposure, discrepancies between what teams declared and what the probe found. Each agent gets a score from 0 to 100.

Writes to external systems: +20 points
Contains PII data: +15 points
No owner assigned: +10 points
AutoGen + code execution: +12 points (highest-risk combination)
High framework detection confidence: −5 points
Discrepancy between declared and inferred flags: +10 points

credit-score-assistantCRITICAL

/ 100 risk score

R01Writes to external systems+20

R02Contains PII data+15

R03External LLM calls+15

R05No owner email assigned+10

R07OpenAI Assistants framework+8

R09Missing description+5

R15Discrepancies detected by probe+10

R14High framework confidence-5

Agent

SDK

arithmetic

decision

vendor_ref

fields

latency

invoice-processor-v2

85%

97%

99%

98%

96%

contract-review-agent

72%

88%

—

97%

—

fraud-detection-agent

100%

97%

96%

—

100%

vendor-onboarding-v1

—

doc-summariser-legal

—

hr-screening-tool

—

3 agents uninstrumented · shown greyed

Health Heatmap

Know which agents
are degrading before
your users do.

The Health Heatmap shows every agent's accuracy across every quality check — in one view. Green cells are passing. Red cells are failing. Greyed rows haven't been instrumented yet. The gap is visible the moment you open the page.

> 95%

70–85%

< 50%

No SDK

Cost Tracking

Half your AI spend
is unattributed.

Muster attributes every LLM API call to a registered agent. The spend that can't be attributed? That's your shadow AI number. It shows up on the Cost Dashboard, highlighted in red, on day one.

Department budgets, utilisation bars, duplicate agents wasting combined spend, optimisation recommendations — all in one view.

Cost Dashboard · 30 daysUSD

Unattributed spend

$9,200

50% of total — shadow AI spend

Finance$1,840 / mo

92% of $2,000 budget

Compliance$1,960 / mo

109% of $1,800 budget

Retail Banking$4,600 / mo

76% of $6,000 budget

Risk Management$980 / mo

65% of $1,500 budget

SDK

Instrument in 5 minutes.

Four lines. No agent downtime. The SDK never raises exceptions, never blocks your agent, and never affects reliability.

# 1. Install
pip install muster-sdk
# 2. Register on startup (auto-detects your framework)
from muster_sdk import beacon, quality
beacon.register(agent_id="invoice-processor-v2")
# 3. Emit after each job
quality.emit(
    job_id=job_id,
    checks=[quality.Check(
        check_id="subtotal_arithmetic",
        severity="HIGH", passed=(computed == declared)
    )]
)

⚡

2s hard timeout

Never blocks longer than this

🔇

Zero exceptions

Silent on failure, always

📦

100-event queue

Buffers when Muster is unreachable

Pricing

Simple, transparent pricing.

Start with a free trial. No credit card. Upgrade to a managed deployment when you're ready.

Trial

Free

14 days

Up to 10 agents
Manual + CSV agent import
n8n, OpenAI, Flowise scanners
Risk classification
SDK instrumentation
Read-only after trial ends

Start free trial

Stop flying blind
on your AI estate.

14-day trial. No credit card. See what's running in your organisation in under 5 minutes.

Start free trial Read the docs →

Your AI agentsare the newshadow IT.

Not all agentscarry equal risk.

Know which agentsare degrading beforeyour users do.

Half your AI spendis unattributed.