Agent Pulse vs Helicone

Helicone and Agent Pulse both work out what model calls cost, attribute it to users, and alert you when spend runs high. They sit in different places. Helicone describes itself as an AI Gateway and LLM observability platform: requests can go through its gateway, which reaches many providers through one API. Agent Pulse records each call from inside your application or framework, and your model calls go straight to the provider.

Everything said here about Helicone is from its own documentation and repository, linked beside each statement and listed at the end, as reviewed on 23 October 2026. Where this page interprets, it says so.

What Helicone is for

Helicone's repository describes it as "an AI Gateway & LLM Observability Platform for AI Engineers", licensed under Apache 2.0, and self-hostable (repository). It offers two ways in:

• The AI Gateway: an OpenAI-compatible API to many providers. An application points its OpenAI client's base URL at the gateway (quick start), which also offers routing and fallbacks between providers (repository).
• Asynchronous logging, through OpenLLMetry, for calls that do not go through the gateway (repository).

Where they overlap, and where they do not

Both attribute cost. Helicone attributes it to a user with the Helicone-User-Id header, and to anything else, such as a feature or a conversation, with custom property headers (custom properties). Agent Pulse files each call under a customer, a user and a request, set once per request where your code checks the sign-in (cost per customer and user).

The larger difference is the path a call takes. Through Helicone's gateway, the gateway forwards each request to the provider. Agent Pulse is not a proxy: its recorder runs in your process, is never in the path of your model calls, and sends records in the background (when Agent Pulse is unavailable).

What the table leaves out

• Both can stop spending. Helicone's rate limits can be set in cents per time window, per user or per property, and a request over its limit gets a 429 (rate limits). An enforced Agent Pulse budget stops covered model calls at its limit, over a daily, weekly, monthly, yearly or custom period, for the organisation, an agent, users or workspaces (budgets). Which calls Agent Pulse can stop before they are sent depends on how they are recorded: framework recorders such as LangChain, Google ADK and the Vercel AI SDK ask first, while calls recorded from OpenTelemetry spans cannot be stopped.
• A gateway sees every request. A gateway in the path can do what a recorder cannot, such as routing and fallbacks. It also means requests pass through it. Helicone's omit headers keep it from storing a request or response, but its documentation says the content is still sent to its backend (omit logs). Agent Pulse never receives prompts, completions, tool arguments or tool results (what is recorded).
• Who a cost is for. Helicone segments by user and by whatever custom properties you send. Agent Pulse has customers, users and requests as fixed parts of every record, so one request can be opened with every call in it and what each cost (LLM cost tracking).

Which should you choose?

Choose Helicone when you want one API in front of many providers, with routing and fallbacks; when you want to observe requests through a gateway; or when you need an open-source tool you can host yourself.

Choose Agent Pulse when you do not want a proxy in the path of your model calls; when spend must be read by customer, user and request across agents and frameworks; or when prompts and responses must not leave your process.

This is an interpretation of what each documents, not a measurement. To see what Agent Pulse would show for your own code before connecting anything, assess your codebase.

Sources

Helicone's documentation and repository, reviewed on 23 October 2026:

• Helicone repository
• Quick start
• Cost tracking
• Custom properties
• Custom rate limits
• Omit logs