Looking for a Helicone Alternative? Depends What You Actually Need.

Helicone was acquired by Mintlify in March 2026. Both founders joined Mintlify's team and the product entered maintenance mode — security patches and pricing updates only. If you're evaluating alternatives, the right answer depends on what job you were using Helicone for in the first place.

What most “Helicone alternative” articles won't tell you

Every alternative page you'll find right now is written by a competitor — Langfuse, Latitude, Maxim, FutureAGI — each positioning their own observability tool as the replacement.

They're not wrong exactly. If you used Helicone for request logging, session tracing, and prompt debugging, those tools are reasonable replacements.

But if what you actually needed from Helicone was knowing which feature is spending what — that's a different job. And none of those tools do it well.

What Helicone was actually good at (and where it fell short)

Helicone's primary job was developer observability — request logs, session tracing, prompt versioning. Cost was tracked as a side effect: a column in the logs table, a filter in the dashboard.

For teams who wanted cost attribution — breaking down spend by feature, user cohort, or model — Helicone had real limitations:

  • Cost breakdowns required HQL (Helicone's query language), gated at $79/month
  • Email or Slack alerts required the Team plan at $799/month
  • Cost calculations had known accuracy issues with tiered OpenAI pricing (Issue #5690, still unfixed as of June 2026)
  • No savings recommendations — you could see costs, but not what to do about them

The two types of teams looking for a Helicone replacement

If you need request logs and debugging

Langfuse is the most mature open-source replacement. SDK-based, zero proxy latency, active development, EU-hosted option. If you were using Helicone to debug multi-step agent workflows, Langfuse is the closest equivalent.

If you need cost attribution

That's what CostFerret is built for. Not as a side effect of request logging — as the primary job.

What CostFerret does differently

CostFerret is built around a single question: which feature is spending what?

Every view in the dashboard is organized by cost impact — not request count, not latency, not session trees. You open CostFerret and see a dollar number, broken down by feature and user, with a projected end-of-month figure based on your last 7 days.

Two-line instrumentation:

index.js
import { wrap } from "costferret";
const client = wrap(openai, { feature: "summarize", userId: user.id });
// everything else stays the same

Works with OpenAI and Anthropic. Node.js and Python. Streaming supported. Or skip the SDK entirely — change your base_url to our proxy and pass tags as headers.

Cost by feature and user in real time
Spend alerts via email when a daily threshold is crossed — on the $49/month plan, not the $799/month plan
Savings recommendations with estimated dollar impact: "this feature made 1,200 near-identical calls — semantic caching could save $340/month"
Accurate tiered pricing for all OpenAI models — the calculation bug Helicone never fixed

How to migrate from Helicone

If you were using Helicone's proxy mode, migration takes about 15 minutes. One URL change. Same response shape. Your existing code keeps working.

Before — Heliconeold config
const openai = new OpenAI({
  baseURL: "https://oai.helicone.ai/v1",
  defaultHeaders: {
    "Helicone-Auth": `Bearer ${process.env.HELICONE_API_KEY}`,
  }
});
After — CostFerretone URL change
const openai = new OpenAI({
  baseURL: "https://proxy.costferret.com/v1",
  defaultHeaders: {
    "CostFerret-Key": `Bearer ${process.env.COSTFERRET_API_KEY}`,
    "CostFerret-Feature": "your-feature-name",
  }
});

Honest comparison

Each tool does a different job. Pick the one that matches what you actually need.

FeatureCostFerretHeliconeLangfuse
Primary jobCost attributionRequest observabilityTracing + evals
Cost by feature / user
$79+/mo
Email spend alerts
$49/mo
$799/mo only
Savings recommendations
Actively maintained
Maintenance mode
Session tracing / debugging
Entry price$49/mo$79/mo$29/mo

Bottom line

If you need to debug prompts and trace multi-step agents, use Langfuse. If you need to know which feature is burning your AI budget, use CostFerret.

Cost attribution is the job. CostFerret is built for it.

CostFerret is in active development. If you're evaluating Helicone alternatives and cost attribution is the job you need done, join the early access list — we'll reach out when it's ready and include you in the beta.

No commitment. No credit card. We'll email you when it's ready.

Frequently asked questions

Is Helicone shutting down?

No — Helicone still works. The product entered maintenance mode after the Mintlify acquisition in March 2026, meaning it receives security patches, new model pricing updates, and bug fixes, but no new features are being developed.

What's the difference between Helicone and CostFerret?

Helicone is primarily a request observability tool — it logs every LLM call so you can debug what happened. Cost is tracked as a side effect. CostFerret is a cost attribution tool — it's built specifically to answer "which feature or user is spending what," with alerts and recommendations to act on that data.

Can I use CostFerret and Langfuse together?

Yes. They do different jobs. Langfuse is for debugging and evaluation. CostFerret is for cost governance. They're complementary.

Does CostFerret fix the Helicone cost calculation bug?

Yes. CostFerret calculates cost using tiered pricing across all OpenAI model tiers — including threshold-based multipliers that Helicone's calculation ignores (Issue #5690).

How long does migration take?

If you were using Helicone's proxy mode, about 15 minutes — one URL change and two header updates. If you were using Helicone's SDK, the CostFerret SDK is a similar two-line wrapper.