ZeroEval is an evaluation, feedback, and optimization platform that instruments agent traces, runs LLM-based judges with human-in-the-loop calibration, and proposes prompt updates derived from observed production failures.
Published Oct 9, 2026
| Starting Price | Not publicly listed (demo-led) | Published per-seat and usage-based pricing available from the vendor | Published tiered pricing with a free entry-level option and paid professional/enterprise tiers |
| Recommended for | Teams seeking judge calibration and iterative prompt optimization from production feedback | Teams integrated with the LangChain ecosystem needing tracing, evals, and prompt workflows | Teams seeking structured eval pipelines with published tiering |
| Key Strength | Integrated judge calibration and workflows for deriving prompt revisions from production failures; agent-focused onboarding components | Deep integration with LangChain and published pricing/options | Clear tiering and free entry-level option for initial usage; evaluation-centric workflows |
| Key Weakness | Limited public pricing, limited visible third-party review coverage, early-stage integration surface | Cost can grow with retention and traces; community concerns about log export in some configurations | Less ecosystem integration than some competitors in certain workflows |
Where ZeroEval may offer relative strengths:
Where competitors may offer advantages:
Market share and adoption trends: this research did not identify reliable quantitative market share data for the vendor. Public adoption signals are limited to accelerator listings and small company profile indicators.