Weigh Token Observe against what you already run.
- Categories weighed
- 7
- Named products, on their vendors' claims
- 22
- Days in the free cloud trial
- 30
Start with your current setup
Tracking subscriptions in a spreadsheet? Start there. If your team already runs a model proxy, compare gateways. If you are still experimenting, the final page helps you decide whether to add governance yet.
Compare published capabilities.
Every claim about a named product on these pages is that vendor’s own published material, dated on the page it appears on, and none of it has been independently tested.
Token Observe vs spreadsheets and billing consoles
A subscriptions spreadsheet and the billing consoles
Finance owns the total. This owns the shape: a vendor, a tool, a team and an owner email on every line.
No vendor named: the alternative is your own status quo
A subscription on no invoice you give it stays unknown
Read itToken Observe vs LLM gateways
LLM gateways and AI proxies
Decide whether you need to carry model requests, explain the AI bill, or govern one agent’s next call.
- Kong AI Gateway
- Agent Router
- Portkey (Prisma AIRS AI Gateway)
- LiteLLM
- Cloudflare AI Gateway
- MuleSoft Omni Gateway
If it is down, governed agents cannot call models
Read itToken Observe vs LLM observability
LLM observability, tracing and evaluation
Match the tool to the question: what the provider charged, what an agent did, or what it may do next.
- LangSmith
- Langfuse
- Arize
- Datadog LLM Observability
- OpenTelemetry
No prompt playground, no experiments, no eval harness
Read itToken Observe vs AI security platforms
AI security platforms and AI firewalls
Use Token Observe to govern the requests you route through its gateway. Broader AI security coverage belongs alongside it; pattern-based detection remains heuristic.
- Palo Alto Prisma AIRS
- Cisco AI Defense
- Zenity
- Noma
- WitnessAI
- Lakera
Injection scoring is fixed patterns, not a model
Read itToken Observe vs cloud-native controls
Cloud-provider native agent controls
If every agent, model and tool lives in one cloud, use that cloud’s controls. The argument here is for the estate that does not.
- Amazon Bedrock AgentCore (Cedar authorisation)
- Microsoft Entra Agent ID
- Microsoft Agent 365
- Google agent IAM
Only OPA Rego ships, and scope and trigger matching only
Read itToken Observe vs building it yourself
A proxy your platform team writes
For a small estate, a few hundred lines of proxy is usually the right answer. The cost arrives later, and it arrives in specific places.
- LiteLLM
- Envoy
- NGINX
- Open Policy Agent
- OpenTelemetry Collector
- PostgreSQL
A small estate rarely needs any of this
Read itToken Observe vs doing nothing
Doing nothing
With three agents, no regulated data and no incident, doing nothing is often the correct decision. This page is about what changes it.
No vendor named: the alternative is your own status quo
Agents that never route through it stay invisible
Read itFor traffic routed through the gateway, configured policies can allow, redact, hold or block a request. Detection is heuristic and can miss sensitive data or misclassify a payload.
The request passes the configured checks and proceeds to its provider. Its trace records the policy decision.
A configured rule matches a value and masks or tokenises it before forwarding the payload to the provider. Unmatched values can still pass through.
A policy requires human approval. The approval binds to this payload, expires and can be used once; the caller receives a typed refusal with the approval identifier.
The gateway denies the routed request and records the blocking policy and outcome in its trace.
Shadow mode records policy decisions without changing the request. Review false positives and missed detections before enforcing the policy on live traffic.
Create a cloud workspace for a free 30-day trial, with no card or automatic paid conversion. Connect a supported billing source and explore a sample workspace before supplying credentials. Customer-hosted evaluation and source review are available separately through James.
The cloud pilot has shared capacity and traffic limits and no availability SLA. Review its data handling before connecting accounts.
Cloud data handling and pilot scopeWhere each option works best.
Compare the strengths of your current approach first. These pages cover selected category leaders; no independently witnessed bake-off has been run against any product on this site.
- spreadsheets and billing consoles
- The spreadsheet is free, already written, and right for a small estate.
- LLM gateways
- On operating the request path, the gateways are ahead, and not narrowly.
- LLM observability
- For the loop a developer works in, the tracing tools are the right tool.
- AI security platforms
- On detection, coverage and the estate that never touches a gateway, they win.
- cloud-native controls
- Inside one cloud, the native control is closer, cheaper and better attested.
- building it yourself
- You own the code and the failure surface, and for a small estate that is the whole argument.
- doing nothing
- Premature governance has a real cost, and it lands on the people you have.
Use these fit criteria alongside the complete list of Token Observe’s limits.
Review the product limitsOr compare against 22 named products
Already have a shortlist? Compare individual products using their vendors’ published material, with a checked date on each page.
LLM gateways
LLM observability
AI security platforms
Compare individual products by their strengths, the work they cover and when you would run both.
See all the named comparisonsBring your shortlist.
Tell us what you run today and what you need to change. We can help you assess the fit and choose what to test in an evaluation.