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For: AI labs
CodingDocumented overviewLast checked Oct 2, 2026
Klavis AI: Pricing, Features & Best Use Cases
Provider of coding and agentic training data and live environments for AI agent post-training.
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Our take: Klavis AI fits AI labs and agent teams that need coding-agent training data and live environments, not individual users looking for a ready tool.
Main limitation: The primary offer requires contacting the company and no self-serve prices are published.
Who Klavis AI fits
Klavis AI fits AI labs and agent teams that need coding-agent training data and live environments, not individual users looking for a ready tool. Based on the vendor's documentation, not on a hands-on test.
Best for: AI labs
Also a good fit for
- Agent developers
Consider another tool if primary offer requires contacting the company
Or if
- No self-serve prices shown
- Aimed at AI labs, not general users
Klavis AI pricing and usage limits
Prices checked Oct 2, 2026 on the official US pricing page. Prices and limits change often.
Free access and trial conditions
Not stated
Not stated
Paid plans: what changes as you upgrade
Usage caps, credits and extra costs
Pricing is by contact
Not stated
What is Klavis AI, and how does it work?
Klavis AI describes itself as a provider of live environments and data for training AI agents, backed by Y Combinator. Its homepage offers long-horizon coding data and agentic tool-use data covering 600+ real tools and SaaS apps. Offers are handled through contact forms ("Discuss coding data"), and docs describe a Sandbox product. It targets model builders rather than end users.
What you provide and what you get back
You provide
- Task specifications for coding agents
- API calls to Klavis environments
You get back
- Training data and tasks with verifiers
- Reward signals for RL and SFT
Where you can use it
- Platforms
- API
- Account
- Required
- Product type
- Training data and RL/SFT environments
- Verification
- Programmatic checks and rubrics
- Packaging
- Dockerized environments
- Access
- API with sandbox endpoints
Best use cases for Klavis AI
Scenarios are worked out by our editors from the documentation; the actual result depends on your input and plan.
Post-training data for coding agents
- Who
- AI labs
- You provide
- A request for coding-agent post-training data
- Expected result
- Datasets of long-horizon coding tasks with checks
- Plan needed
- Contact vendor
- Limitation
- No public price or sample size source (opens in a new tab)
Agentic tool-use datasets
- Who
- Agent researchers
- You provide
- Tool-use scenarios
- Expected result
- Datasets for agentic tool use
- Plan needed
- Contact vendor
- Limitation
- Dataset coverage not detailed publicly source (opens in a new tab)
RL and SFT environments
- Who
- RL engineers
- You provide
- Environment access via API
- Expected result
- Dockerized environments with rewards for training runs
- Plan needed
- Contact vendor
- Limitation
- Environment catalog not read source (opens in a new tab)
Key features and their practical limits
Long-horizon coding tasks
Provides coding tasks that run over many steps rather than single prompts. Trains agents on realistic multi-file work.
Programmatic verification
Checks agent output with programmatic tests instead of human review. Gives repeatable pass/fail signals.
Granular rewards
Returns granular reward signals, deterministic and rubric based. Supports finer-grained RL training.
Dockerized environments
Packages environments in Docker so they can be run in your own infrastructure. Keeps training reproducible.
Klavis AI pros and cons
Where Klavis AI is strong
- Docs and GitHub repo (Klavis-AI/klavis) are public Public docs and a GitHub repo let engineers inspect the integration surface. documented source (opens in a new tab)
- Deterministic and rubric rewards stated Deterministic and rubric rewards give clear training signals. documented source (opens in a new tab)
- Public API reference with sandbox endpoints A public API reference with sandbox endpoints speeds up evaluation. documented source (opens in a new tab)
Limitations to check before paying
- Primary offer requires contacting the company Without public prices you must go through sales to budget. documented source (opens in a new tab)
- No self-serve prices shown The offer is aimed at labs, so small teams may not qualify. documented source (opens in a new tab)
- Aimed at AI labs, not general users Older MCP-integration positioning may no longer match the current product. documented source (opens in a new tab)
How to use Klavis AI for sourcing coding-agent training data
Set up Klavis AI
- Read the Klavis documentation introduction.
- Contact the company through the site for a data or environment engagement.
- Agree the task domain and output format.
Example: sourcing coding-agent training data
- Share the target agent skills and languages.
- Receive sample tasks with verifiers.
- Run them in your training pipeline.
Review and export the result
- Run the verifier on a sample task and confirm a pass/fail result.
- Check that reward values match the documented scheme.
Klavis AI API
API access and separate billing
An API is available, billing not documented. A public API reference with sandbox endpoints is documented. API documentation ↗
Privacy, data use and commercial rights
Summarized from the vendor's current policies; this is not legal advice and a vendor's badge is not an independent audit.
How your inputs and outputs are handled
Not stated on the pages read
Not stated on the pages read
Not stated on the pages read
Commercial use and plan restrictions
Not stated on the pages read
Not stated on the pages read
Policies: klavis.ai/privacy
Explore Klavis AI further
Related to Klavis AI
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Guides and comparisons
Klavis AI user reviews
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Klavis AI FAQ
What does Klavis AI sell?
It provides coding and agentic training data and live environments for AI agent post-training. source (opens in a new tab)
Is there a public price?
No. The site shows no self-serve prices and the primary offer requires contacting the company. source (opens in a new tab)
Is there public documentation?
Yes. Documentation and an llms.txt are on klavis.ai, and the GitHub repo Klavis-AI/klavis is public. source (opens in a new tab)
What kind of rewards are used?
The site states deterministic and rubric-based rewards. source (opens in a new tab)
Is it for individual developers?
Mostly no. It is aimed at AI labs training agents. source (opens in a new tab)
Sources and review methodology
Official sources and verification dates
- Klavis AI homepage homepage · checked Oct 4, 2026
- Klavis AI documentation docs · checked Oct 4, 2026
- Klavis AI docs index and API reference docs · checked Oct 4, 2026
Not verified: Prices; Data volumes; Current status of the MCP product; Privacy terms.
How we documented and maintain this page
Every fact about Klavis AI above comes from the 3 official pages listed here, last compared on Oct 2, 2026; we have not run Klavis AI ourselves, so it has no editorial score. How we check and re-check pages.
Article updated Oct 2, 2026; prices checked Oct 2, 2026. Outbound links to vendors are plain links; we do not earn commissions. How we review · Report an error