PrefactorvsHeliconevsMaxim AI

Helicone vs Maxim AI: how to choose

Helicone logs LLM requests through a proxy and Maxim AI evaluates agents, and both sell a gateway. Helicone has been in maintenance mode since March 2026 and new cloud accounts cannot be opened, so for a new project Maxim AI is the one you can actually start on. For existing Helicone users the real question is where to migrate and when.[3][4]

support-agent v4 · one run, two layersexample
Illustrative run, showing what each layer tells you
Helicone / Maxim AIsee
fetch_customer212ms · 1.2k tok
apply_refund1.4s · 3.1k tok
send_reply340ms · 0.8k tok
trace recorded, no verdict
Prefactoradds
Did its job✓ yes
Quality84 / 100
Cost$0.42 · in budget
Drift vs baselinenone
✓ a run that breaches its schema is held for review
§01 / THE SHORT ANSWERtl;dr: which, and when
TL;DR

What is the difference between Helicone and Maxim AI?

Helicone is an open-source LLM request logger and gateway that has been in maintenance mode since March 2026, with new cloud sign-ups disabled; Maxim AI is an actively sold platform for simulating, evaluating and tracing agents, with its own open-source gateway, Bifrost. On 19 October 2026 Helicone said it is no longer part of Mintlify, with no new owner named. For a new deployment Maxim AI is usually the practical choice; existing Helicone users should plan a migration.

The short answer

At a glance (checked 20 October 2026)

Decision factorHeliconeMaxim AI
StatusMaintenance mode since March 2026; cloud sign-ups disabledActively sold; Bifrost v2.3.1 released 19 October 2026
OwnershipUnclear: acquired by Mintlify in March 2026; says it left Mintlify on 19 October 2026, no new owner namedIndependent; $3M seed led by Elevation Capital in 2024
LicenceApache-2.0 platform; separate Rust gateway GPL-3.0, last updated November 2025Platform proprietary; Bifrost gateway and SDKs Apache-2.0
Agent tracingHeader-based session grouping, no span model for agent stepsTraces, spans, tool calls and sessions, with agent evaluators
EvaluationNot an evaluation framework by its own docs; Python evaluators turned off October 2026Offline test runs, simulation, online evals, human review
OpenTelemetryOpenLLMetry-based SDKs; no generic OTLP endpointOTLP over HTTP ingestion
Self-hostingFree via Docker or Kubernetes; on-prem on EnterpriseBifrost free; evaluation platform Enterprise in-VPC
§02 / CAPABILITY MATRIXside by side: what each covers
Side by side

Helicone vs Maxim AI: capabilities side by side

CapabilityHeliconeMaxim AIPrefactor
Observe
LLM call tracing✓✓✓
Multi-step agent tracing (tool calls, nested spans)Partial✓✓
Cost tracking✓✓✓
OpenTelemetry supportPartial✓✓
Evaluate
Offline evals (datasets, experiments)Partial✓✓
Online evals on production trafficPartial✓✓
LLM-as-a-judge scoringPartial✓✓
Code-based evaluators—✓✓
Human review and annotationPartial✓✓
Prompt versioning and playground✓✓—
Act on findings
Runtime controls on live agent actionsPartial✓✓
Gateway or proxy in the request path✓✓—
Licence and deployment
Open source✓PartialPartial
Self-hosting✓✓Partial
§03 / IN DEPTHdetail: the reasoning
In depth

Helicone's status: maintenance mode and unclear ownership

Mintlify announced its acquisition of Helicone on 3 March 2026 and said the product would move to a maintenance-only phase: patches, bug fixes and new model support, with help for customers migrating to other platforms. The cloud sign-up page has shown that sign-ups are disabled since the same day. Helicone's changelog has no feature entries after November 2025.

Read more

On 19 October 2026 Helicone replaced its acquisition messaging with a notice that it is no longer part of Mintlify, with details to come. No new owner or structure is named. In the same week it shipped hardening fixes for self-hosted deployments, turned off Python evaluators and rate limited LLM-as-a-judge calls. Earlier, in May 2026, a four-day lock on its AWS account took the dashboard and log processing down while the proxy stayed up.

Maxim AI is independent and selling. Its homepage changed in October 2026 to lead with Bifrost, and Bifrost release v2.3.1 was published on 19 October 2026. Its evaluation platform's public changelog shows no dated 2026 entries, which is worth asking about in a trial, but new accounts can be opened on every plan.

If you run Helicone today: what moves where

Helicone offers three main things: the proxy or AI Gateway in the request path, request logs with cost tracking, and prompt versioning deployed by prompt ID. Maxim AI maps onto each. Bifrost is an OpenAI-compatible gateway with provider failover, load balancing, semantic caching and virtual keys, so the request path moves to Bifrost. Maxim AI's platform logs token usage, latency and cost per request with threshold alerts, and its prompt tooling has versions and deployment rules that release changes without code changes.

Read more

What changes is the data model. Helicone groups requests into sessions using headers, without spans for agent steps. Maxim AI traces sessions, spans, generations, retrievals and tool calls, and ingests OTLP over HTTP. Framework coverage overlaps: Helicone lists the OpenAI Agents SDK, LangGraph, CrewAI and LlamaIndex, and Maxim AI lists the same four among more than twenty integrations. Plan to re-instrument rather than translate headers, and export historical logs before you switch, since Maxim AI's free tier keeps logs for 3 days and Professional for 7.

Self-hosted Helicone remains Apache-2.0 and will keep running, but with maintenance-only updates and no clear owner. Teams with no evaluation needs can stay longer; teams that need evals have less reason to, since Helicone describes itself as not an evaluation framework.

Run-time checks and spend limits

Helicone's prompt-threat detection can block prompt injection and jailbreak attempts, with OpenAI models only, and it supports custom rate limits. Bifrost's guardrails check inputs, outputs and MCP tool-call arguments and results and can block, redact or transform content, and Bifrost adds budgets per virtual key, team and customer. Guardrails are a Bifrost Enterprise feature. Neither documents approvals or policies for agent tool actions.

Read more

Cost control works differently. Helicone prices requests from a registry of more than 300 models, slices cost by custom properties and sends graduated cost alerts, but describes no hard spend caps. Maxim AI logs cost per request with threshold alerts and custom token prices, and Bifrost adds budgets and rate limits per virtual key, team and customer in the request path.

Pricing shape

Helicone still lists its plans as of 20 October 2026: Hobby free with 10K requests and 7-day retention, Pro at $79 a month, Team at $799 a month and Enterprise custom. Because cloud sign-ups are disabled, new customers cannot start on any of them. Maxim AI's Developer tier is free for up to 3 seats and 10k logs a month; Professional is $29 per seat a month with 100k logs and Business $49 per seat a month with 500k logs, with overage at $1 per 10k logs. Bifrost's open-source edition is free and Bifrost Enterprise is custom. See Helicone's pricing and Maxim AI's pricing.

§04 / THE QUALITY GAPour take: where it stops
Our take

Where Prefactor fits

We sell the layer this section describes. Read it with that in mind.

Stated plainly, since Prefactor publishes this page: Prefactor is an agent evaluation platform that scores each step of a run and acts on what it finds through runtime policies, approval holds and a kill switch scoped to a run, an agent or a team. Helicone blocks prompt injection for OpenAI models only, and Maxim AI blocks content through Bifrost Enterprise guardrails; neither documents approval holds. For Helicone users moving on, Prefactor is one destination for evaluation, but it has no gateway, prompt playground or prompt registry and its platform is hosted, so it does not replace Helicone's proxy the way Bifrost does. See the full comparison of 15 platforms.

See it on your own agents

A working session on a fleet like yours: watch a run evaluated, catch a drift, walk the record.

§05 / WHICH TO PICKdecide: by your stack
Which to pick

Which one fits

Stay on Helicone for now if

  • You already self-host it and need only request logging and cost tracking.
  • You can accept maintenance-only updates and an unnamed owner.
  • You have a migration planned and are using Helicone until it is done.
  • Your blocking needs are limited to prompt injection on OpenAI models.

Pick Maxim AI if

  • You are starting a new project and need an account you can open today.
  • You want a gateway to replace Helicone's proxy, with failover and caching.
  • You need agent tracing with spans and tool calls, plus evaluation.
  • You want simulation of text or voice agents before release.
§06 / HOW WE REVIEWEDsources: checked October 20, 2026
Methodology

How we reviewed this comparison

Reviewed against public product and documentation pages on October 20, 2026. If a vendor has changed a feature, product name, or positioning since then, send a correction and we will update it. Numbered source links in the page body point to the ordered sources below.

Sources reviewed

  1. Helicone pricingChecked 2026-10-20.
  2. Helicone documentation
  3. Helicone ownership and status
  4. Maxim AI pricingChecked 2026-10-20.
  5. Maxim AI documentation
  6. Maxim AI website
  7. Prefactor platform
Prefactor context

Methodology

  • Reviewed public product, documentation, and launch material visible at the time of writing.
  • Mapped each page to the primary buyer, control layer, and runtime capabilities each vendor describes publicly.
  • Prefer direct product and documentation pages over analyst summaries or reseller material.
§07 / QUESTIONSfaq: the common ones
Questions
What is the difference between Helicone and Maxim AI?
Helicone is an open-source LLM request logger and gateway in maintenance mode since March 2026. Maxim AI is an actively sold platform for simulating, evaluating and tracing agents, with its own open-source gateway, Bifrost.
How does Prefactor compare with Helicone and Maxim AI?
Prefactor is an agent evaluation platform for teams building AI agents: it observes every agent run from development to production, evaluates whether the agent did its job, and shows how to improve it. As of 20 October 2026, Prefactor can block or hold a live agent action; Maxim AI does too and Helicone does so in part. Prefactor scores live production traffic automatically; Maxim AI does too and Helicone does so in part. Helicone and Maxim AI both include prompt versioning and a playground. Prefactor evaluates how prompts perform in live runs rather than providing a prompt playground or registry.
Can I still sign up for Helicone?
Not on its cloud. As of 20 October 2026, Helicone's sign-up page has shown that sign-ups are disabled since 3 March 2026. The open-source repository can still be self-hosted.
How do I migrate from Helicone to Maxim AI?
Move the request path from Helicone's proxy to Bifrost, which is OpenAI-compatible. Re-instrument tracing with Maxim AI's SDKs or OpenTelemetry, since Helicone's header-based sessions do not map directly to spans. Recreate prompts in Maxim AI's prompt versioning and export historical logs first.
Can I keep running self-hosted Helicone?
It still runs and is Apache-2.0, and fixes for self-hosted deployments shipped in October 2026. Updates are maintenance-only and the owner is unnamed, so treat it as a bridge to another platform rather than a long-term choice.
Which gateway is more actively developed, Helicone's or Bifrost?
Bifrost. Its release v2.3.1 was published on 19 October 2026. Helicone's last feature changelog entry was in November 2025, and its separate Rust gateway repository was last updated in November 2025.
Who owns Helicone?
As of 20 October 2026: Unclear. Mintlify acquired Helicone in March 2026 and moved it to maintenance mode. On 19 October 2026 Helicone began saying it is no longer part of Mintlify, with no new owner named.
Is Helicone open source?
Yes. The main repository is Apache-2.0 and can be self-hosted. Its separate Rust AI gateway is GPL-3.0 and has not been updated since November 2025.
How much does Helicone cost?
As of 20 October 2026: Hobby is free with 10K requests, Pro is $79 a month and Team $799 a month, with Enterprise custom. New cloud sign-ups have been disabled since March 2026, so new customers cannot start on any plan.
Can Helicone block or hold a live agent action?
Partly. Its gateway can block prompt injection and jailbreak attempts, for OpenAI models only, and apply rate limits. There are no approvals or policies on agent tool actions.
Who owns Maxim AI?
As of 20 October 2026: Maxim AI (H3 Labs Inc.) is independent; it raised a $3M seed round led by Elevation Capital in 2024.
Is Maxim AI open source?
Partly. The Bifrost gateway and the SDKs are Apache-2.0; the simulation, evaluation and observability platform is proprietary.
How much does Maxim AI cost?
As of 20 October 2026: Developer is free for up to 3 seats and 10k logs a month. Professional is $29 per seat a month and Business $49 per seat a month. Enterprise, the only plan with in-VPC hosting, is custom.
Can Maxim AI block or hold a live agent action?
Yes, through the Bifrost gateway: guardrails check inputs, outputs and MCP tool-call arguments and results, and can block, redact or transform content. Guardrails are a Bifrost Enterprise feature.
Is Prefactor open source?
Partly. Its deterministic evals package is Apache-2.0; the platform is hosted.
How much does Prefactor cost?
As of 20 October 2026: Dev is free with 5,000 spans a month. Startup is $49 a month and Scaleup $199 a month. Enterprise is custom above 4 million spans a month.
Can Prefactor block or hold a live agent action?
Yes. Runtime policies can block, throttle, sandbox or escalate an agent's tool calls and data access before they run, approval routing holds risky actions for a person, and a kill switch stops a run, an agent or a team.
Reviewed against public sources on October 20, 2026Suggest a correction

Score the run, then act on it

Prefactor scores each step of every agent run and can hold or stop an action when a score says it should not happen. Start on the free tier: 5,000 spans a month, no credit card required.

Agent Performance Platform
Unified performance platform for agents, authentication, and risk management
All Systems Operational
3Global Agents
7Instances
5Services
12%Human Intervene
4High Risk
$2,360Monthly Spend
Mission ControlLive agent health with 7-day activity heartbeat
Claims Proc...68
$330/moRed
Claims Proc...65
$160/moRed
Claims Proc...82
$170/moAmber
ChatGPT74
$150/moAmber

See how every agent performs, and make it better

Prefactor helps teams observe, evaluate, and improve their AI agents in production, across every framework and provider.