🔍 Now Available — Agent Traceability

AI Agent Observability & Audit

Full traceability for production AI agents. Log every decision, trace every action, and prove compliance — before the regulator asks.

57%
Orgs with Agents in Production
54%
Cite Observability as Scaling Blocker
$492M
AI Governance Spend (2026)
€35M
Max EU AI Act Penalty
Starter
£199
/month
Up to 3 agents, 30-day log retention, basic tracing, email alerts, Slack integration
Get Started →
Enterprise
£999
/month
Unlimited agents, 365-day retention, custom dashboards, on-prem deployment, dedicated support
Contact Sales →

14-day free trial. No credit card required for Starter.

Enterprise-Grade Agent Observability

Six capabilities that turn agent black boxes into auditable, manageable systems.

🔍

Full Agent Tracing

Every agent decision, tool call, LLM response, and state transition is captured with OpenTelemetry tracing. Replay any agent session step-by-step — including inputs, outputs, and reasoning chains.

📊

Real-Time Dashboards

Live metrics on agent activity, task completion rates, latency, error rates, and cost per task. Custom dashboards per team, agent, or business unit. Alert on anomalies in real time.

💰

Cost Analytics

Track every penny spent on LLM tokens, API calls, and agent runtime. See cost per agent, per task, per user, per hour. Detect cost anomalies and context-accumulation bugs before they blow your budget.

📋

Audit-Ready Logs

Tamper-proof audit trails with cryptographic signing. Every agent action is timestamped, attributed, and immutable. Export-ready for SOC 2, ISO 42001, and EU AI Act compliance evidence.

🔄

SIEM Integration

Native export to Splunk, Datadog, Grafana, New Relic, and any OpenTelemetry-compatible collector. Your security team gets agent activity alongside the rest of your infrastructure telemetry.

🚨

Anomaly Detection

Automated detection of unusual agent behaviour: sudden latency spikes, cost surges, degraded output quality, unexpected tool calls. Alert via Slack, Telegram, PagerDuty, or webhook.

How It Works

Instrument once. Observe everything. Deploy in under 30 minutes.

1

Instrument

Add our lightweight SDK to your agent framework. One line of code for LangChain, CrewAI, AutoGen, OpenAI Assistants, or custom agents. No agent behaviour changes.

2

Collect

Every trace, decision, token, cost, and error flows into our pipeline automatically. OpenTelemetry-native with sub-100ms overhead. No sampling — capture everything.

3

Observe & Audit

Dashboards, alerts, search, replay, and export. Prove what your agents did, when, why, and at what cost. Your compliance team sleeps better.

Observability Gaps We Close

The blind spots that keep AI ops teams up at night.

✅ Detected

Context Accumulation Bugs

Agents that silently grow context windows, doubling costs every hour. Cost-per-task trending catches this before it hits your monthly bill. Real case: £12K blown in 3 days on a single looping agent.

✅ Detected

Silent Quality Degradation

Model drift, prompt rot, or data pipeline changes that slowly reduce output quality. Automated quality scoring on sampled production outputs catches >5pp drops before users notice.

✅ Detected

Multi-Agent Cascade Failures

72% of enterprise AI projects use multi-agent architectures. When one agent fails, it cascades. End-to-end tracing across agent boundaries pinpoints the root cause in seconds, not hours.

✅ Detected

Unauthorised Tool Calls

An agent calling APIs it shouldn't — reading sensitive data, writing to production DBs, triggering destructive workflows. Every tool invocation is logged and attributable to the specific agent and user session.

✅ Detected

Regulatory Blind Spots

EU AI Act requires audit trails for high-risk AI systems. Without observability, you can't prove compliance. Our tamper-proof logs provide the evidence trail regulators demand — exportable on demand.

✅ Detected

Rogue Agent Behaviour

An agent that deviates from its intended task — digging into unrelated systems, following injected prompts, or pursuing unauthorised sub-goals. Behavioural anomaly detection flags deviations in real time.

Technical Specs

Protocol: OpenTelemetry-native (OTLP)
Overhead: <100ms per trace
SDK: Python, Node.js, Go, Java
Frameworks: LangChain, CrewAI, AutoGen, OpenAI, custom
Retention: 30 / 90 / 365 days (by plan)
Export: Splunk, Datadog, Grafana, New Relic, S3, GCS
Auth: OIDC, OAuth 2.0, API keys, mTLS
SLA: 99.9% uptime

Explore More AI Suite Opportunities

Complete your AI agent observability, security, and compliance stack.

🎯 AI Agent Accuracy Monitor

Real-time accuracy monitoring for AI agents. Detect hallucinations and quality degradation. From £149/month.

🛡️ AI Agent Guardrails

Production guardrails for AI agents. Prevent hallucinations and enforce business rules. £99/month.

🔒 AI Agent Security

Prevent prompt injection, tool abuse, and data exfiltration. Runtime security for production agents. From £149/month.

📋 AI Compliance Automation

Automated EU AI Act documentation and continuous monitoring. £199/month flat.

🔍 Shadow AI Risk Assessment

Detect unaapproved AI tools. Build an AI register and compliance report. £2,000/month.

🎙️ AI Sales Voice Agent

Automated outbound sales calling. Qualifies leads and books appointments. From £199/month.

🛡️ MCP Security Guard

Zero-trust gateway for MCP connections. Container isolation, per-request auth. From £199/mo.

⚖️ EU AI Regulatory Sandbox

EU AI Act sandbox application support. Documentation templates and compliance readiness. £1,500.

Frequently Asked

How is this different from accuracy monitoring?

Accuracy monitoring scores output quality. Observability captures everything — every trace, tool call, cost, latency, and decision path. Think of accuracy as one metric within observability. Our Accuracy Monitor focuses on output scoring; this covers the full operational picture.

Will this slow down my agents?

No. Our instrumentation adds under 100ms overhead per trace. We use async, non-blocking telemetry collection that never holds up agent execution. Your agents run at full speed — we observe from the side.

Can I export logs to my existing SIEM?

Yes. We support native OpenTelemetry export to Splunk, Datadog, Grafana Loki, New Relic, Elasticsearch, Amazon S3, and Google Cloud Storage. Your security team sees agent activity in the same console as the rest of your infrastructure.

What compliance standards does this help with?

EU AI Act (Article 12 — audit trails for high-risk AI systems), SOC 2 (CC6.1 — logical access controls), ISO 42001 (AI management system), and internal governance requirements. Our tamper-proof logs are admissible as compliance evidence.

What agent frameworks do you support?

LangChain, CrewAI, AutoGen, OpenAI Assistants API, Anthropic Claude agents, custom Python/Node.js/Go agents, and any OpenTelemetry-compatible framework. New integrations ship monthly — request one if yours isn't listed.

How long does setup take?

Under 30 minutes for most teams. Install our SDK via pip/npm/go get, add two lines of configuration, and traces start flowing. Full integration guide with examples for each framework included.

How is this different from MCP Security Guard?

MCP Security Guard secures the MCP protocol layer. Observability & Audit covers all agent activity — including but not limited to MCP calls. They complement each other: MCP Security Guard protects the channel; Observability & Audit gives you visibility into everything that moves through it.

54% of enterprises cite observability as their #1 scaling blocker.
Don't be in the dark.

From £199/month per team. 14-day free trial. Cancel anytime.