self-service agent evaluation platforms

Why Self-Service Matters

A self-service product lets the team send real sessions, test an evaluation and inspect the results before entering a buying process. Published pricing also makes it possible to estimate next quarter's bill without waiting for a custom quote.

Neither says anything about product quality. Demo-led vendors often suit companies that want hands-on help, and some of them have deeper features than the self-serve ones. They just take longer to evaluate, and for a team without a procurement function, time to first score is most of the decision.

Which Agent Evaluation Platforms Are Self-Service?

What the Free Tiers Let You Test

The free tiers differ in what runs out first, and that decides what a trial can prove.

• Hard caps. Raindrop's Hobby tier stops ingesting at 1,000 events, and Failproof AI's free cloud tier is capped at 5,000 runs a month with no overage. Check whether the cap covers the length and traffic volume of your trial.
• Seats. Braintrust, Galileo, Latitude and Future AGI allow unlimited users on their free tiers. Failproof AI Free is a single user, Langfuse Hobby two, LangSmith Developer one seat. If the trial is a team decision, that matters more than any cap.
• Retention. Braintrust Starter keeps data 14 days; Langfuse Hobby and Failproof AI Free keep 30. Long enough for a trial, short for a baseline.
• Evals. Failproof AI Free includes 100 evals a month, Braintrust Starter 10k scores, and Galileo Free unlimited custom evals; on Langfuse, scores count toward units.
• Features held back. Raindrop's Issues, Stumbles and Experiments are preview-only on Hobby, and Galileo's Luna-2 evaluation models are Enterprise-only.

What a Published Price Still Leaves Out

A price on the page is a starting point, not a quote. Four things move it once real traffic arrives:

• The unit. Traces, spans, events, units, runs, scores, credits and gigabytes are not interchangeable. One agent session can be one trace, forty observations or several megabytes of processed data, depending on the vendor. Convert each meter to the cost of one of your sessions before comparing.
• The overage. Most first paid tiers include an allowance and bill beyond it: Failproof AI Team per 1,000 runs and per eval, Langfuse Core per 100k units, Braintrust Pro per gigabyte and per 1,000 scores, Raindrop Pro per event. Model next quarter's volume, not this month's.
• The judge bill. Where you bring the judge, its tokens are billed by your model provider, not the vendor. Braintrust bundles some model credits into its tiers; others leave it to your account.
• Seats. LangSmith Plus is priced per seat; most of the others are flat.

How much agent evals cost works through the arithmetic with every assumption stated.

Where You Still End up Talking to Sales

Three requirements pull most buyers into a sales conversation eventually:

• SSO/SAML. Raindrop, Latitude, Galileo, Braintrust and LangSmith reserve it, or custom SSO, for Enterprise. Failproof AI includes SSO/SAML and RBAC on Scale, Langfuse offers it through a Teams add-on to Pro, and Future AGI offers OAuth SSO in its Boost add-on and SAML in its Scale add-on.
• Self-hosting. This is an Enterprise feature nearly everywhere it is available, apart from MIT- and Apache-2.0-licensed platforms you deploy yourself.
• Contract terms. Custom retention, an SLA and a data processing agreement are sales-led at every vendor here.

Two vendors sit further toward sales. Galileo's Free tier is self-serve ("Get started for free"), but its Pro and Enterprise buttons both say "Book a Demo", so the first paid step is a conversation. Judgment Labs has no self-serve tier at all, so every step starts with a demo, and it is building a forward-deployed engineering team. That suits a company that wants a hands-on relationship; it is slower for one that wants to try first.

How to Compare Self-Service Trials

Use the same test on every platform. A polished sample project proves little about how the product handles your traces or failures.

1. Import known examples. Use five failed sessions and five healthy sessions so you can check whether the product preserves the full trace and classifies them correctly.
2. Connect one live agent. Measure the setup time and confirm that model calls, tool calls, tool results and session metadata arrive intact.
3. Run two evaluations. Use one deterministic check and one LLM judge. Compare setup, latency, explanations and the ability to inspect the underlying evidence.
4. Test failure discovery and alerts. Add a larger batch of unreviewed sessions and see whether the platform finds a recurring problem you did not provide in advance. Trigger an alert and confirm it reaches the right owner.
5. Estimate the paid bill. Record the traces, events, scores, credits or storage consumed during the trial and apply the published paid-tier rates.

Failproof AI's free tier supports this workflow with tracing, evaluations and automated failure analysis. The same test works for any vendor that offers a self-service trial.

When a Demo Is the Right Path

Take the call when you need something only a contract gives: on-prem deployment, a custom retention period, an SLA, compliance reports, or an engineer to help instrument a large estate. Take it, too, once a free trial has worked and you want the price at ten times the volume. Self-serve is not about avoiding salespeople. It is about arriving at that conversation already knowing whether the product works.