Prompt Eval vs valv

Prompt Eval is an innovative developer tool designed to take the guesswork out of engineering and optimizing Large Language Model (LLM) prompts. Instead of relying on subjective trial and error, Prompt Eval allows developers to run their prompts across a dedicated dataset of test cases to generate comprehensive, data-driven performance reports.

With features like average score tracking, pass rates, and detailed per-case reasoning that explicitly explains every failure, developers gain deep visibility into how their prompts behave in production-like scenarios. The platform supports multiple grading mechanisms—including deterministic, LLM-judge, and reference grading—ensuring rigorous evaluation. Additionally, users can seamlessly compare different prompt versions to catch regressions early in the development cycle, backed by 20 free credits to get started.

valv is an essential AI infrastructure and data analytics tool designed to make your databases safe for AI agents to query. As development teams increasingly rely on autonomous AI agents and large language models (LLMs) to interact with live data, security and access control have become paramount.

With valv, you can easily connect major databases and data platforms—including Postgres, MySQL, ClickHouse, and PostHog—in a single place. The platform allows you to scope each role down to the specific row level. This ensures that your team's AI agents can work efficiently on live data while never exposing sensitive information or seeing more than you explicitly allow.