EvalsHub vs Manufact: Which is Better in 2026?
A comprehensive comparison of EvalsHub and Manufact covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose EvalsHub if:
- →You want more affordable paid plans (from $39/mo)
- →You need natural-language rubrics with weights and thresholds or llm-as-a-judge scoring tailored to specific use cases
Choose Manufact if:
- →You need production hosting for mcp apps and servers or cross-client testing against chatgpt, claude, and more
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EvalsHub vs Manufact: At a Glance
Pricing Comparison: EvalsHub vs Manufact
Understanding the pricing differences between EvalsHub and Manufact is crucial for making the right choice. Here's how their plans compare side by side.
EvalsHub Pricing
💡 Pricing takeaway: Both EvalsHub and Manufact offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from EvalsHub and Manufact stacks up.
What Makes Each Tool Unique
🔵 Unique to EvalsHub
Features available in EvalsHub but not in Manufact:
- ✓Natural-language rubrics with weights and thresholds
- ✓LLM-as-a-judge scoring tailored to specific use cases
- ✓Automatic regression detection and cross-model comparison
- ✓Red-team suite for prompt injection, jailbreaks and PII leakage
- ✓CI/CD integration and online auto-evals
- ✓AI-generated dataset rows and trace-span based experiments
🟣 Unique to Manufact
Features available in Manufact but not in EvalsHub:
- ✓Production hosting for MCP apps and servers
- ✓Cross-client testing against ChatGPT, Claude, and more
- ✓Publishing checks for ChatGPT Apps Store and Cloud Connectors requirements
- ✓Cloud Inspector for tracing, replaying, and debugging live MCP traffic
- ✓Usage, latency, and reliability analytics in one place
- ✓Drop in an existing MCP server unchanged, or scaffold from the SDK
Use Case Recommendations
Best for: EvalsHub
EvalsHub is an AI quality-assurance platform built around LLM-as-a-judge scoring, aimed at teams still catching regressions through manual spot-checks. You define rubrics as natural-language criteria with weights and thresholds — accuracy matched against ground truth, hallucination held above a confidence bar — and evaluations run continuously against your data, comparing models and flagging regressions before a release rather than after a user finds them. Results are deterministic scores rather than impressions, which is the stated point: the site frames it as bringing traditional engineering rigour to generative output, so you can compare GPT-, Claude- and Llama-family responses on the same rubric and see which passed and which hallucinated. Alongside evaluation there is an adversarial testing surface that red-teams the model automatically: heuristic and LLM-based detection of prompt injection hidden in user input, stress testing against evolving persona-based jailbreaks and DAN-style bypasses, and verification of content filtering, PII leakage and internal policy compliance. Tracing, datasets and experiments are the underlying units — spans, AI-generated dataset rows, experiments and projects — and CI/CD integration puts the whole thing in the release path. Pricing is published in full: a genuinely usable free tier, a $39/mo Pro tier that unlocks red-teaming, A/B prompt tests, online auto-evals and custom LLM judges, and a scoped enterprise tier.
Ideal use cases:
- •Teams or individuals who need natural-language rubrics with weights and thresholds
- •Teams or individuals who need llm-as-a-judge scoring tailored to specific use cases
- •Teams or individuals who need automatic regression detection and cross-model comparison
- •Teams or individuals who need red-team suite for prompt injection, jailbreaks and pii leakage
- •Anyone focused on llm-evals workflows
- •Anyone focused on llm-as-judge workflows
Best for: Manufact
Manufact is cloud infrastructure for MCP servers and the ChatGPT and Claude apps built on top of them, wrapped around the open-source mcp-use SDK. The premise is that once an MCP app matters, hosting it is a real operational problem — you need production deploys, distribution to the app surfaces where users are, and enough observability to debug protocol traffic you cannot see from either end. Manufact Cloud handles the deploy, monitor, and distribute loop for MCP apps and servers. Cross-client testing runs the same checks against ChatGPT, Claude, and other clients so behavior differences surface before users find them, and publishing checks audit an app against the ChatGPT Apps Store and Cloud Connectors requirements before submission. A Cloud Inspector traces, replays, and debugs live MCP traffic in production, and analytics roll usage, latency, and reliability into one view. Public chat provides embeddable chat surfaces inside your own product. The path in is flexible: scaffold from the SDK in one command, install a skill into your coding agent, describe the app and let it scaffold, or drop an existing MCP server in unchanged. The open-source tooling has around 10.4k stars and targets ChatGPT, Claude, Gemini Enterprise, Copilot 365, Codex, Cursor, VS Code, and the major agent SDKs.
Ideal use cases:
- •Teams or individuals who need production hosting for mcp apps and servers
- •Teams or individuals who need cross-client testing against chatgpt, claude, and more
- •Teams or individuals who need publishing checks for chatgpt apps store and cloud connectors requirements
- •Teams or individuals who need cloud inspector for tracing, replaying, and debugging live mcp traffic
- •Anyone focused on mcp workflows
- •Anyone focused on chatgpt apps workflows
🤖 Other AI Agent Infrastructure Tools to Consider
EvalsHub and Manufact aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
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Frequently Asked Questions
Is EvalsHub better than Manufact?
It depends on your needs. EvalsHub offers 6 key features including Natural-language rubrics with weights and thresholds and LLM-as-a-judge scoring tailored to specific use cases, while Manufact provides 6 features including Production hosting for MCP apps and servers and Cross-client testing against ChatGPT, Claude, and more. EvalsHub uses a freemium model with a free tier, while Manufact is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is EvalsHub cheaper than Manufact?
Manufact doesn't have standard paid plans, while EvalsHub starts at $39/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use EvalsHub and Manufact together?
Yes, many users combine EvalsHub and Manufact in their workflow. EvalsHub excels at natural-language rubrics with weights and thresholds, while Manufact shines with production hosting for mcp apps and servers. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between EvalsHub and Manufact?
While both are ai agent infrastructure tools, EvalsHub emphasizes natural-language rubrics with weights and thresholds, whereas Manufact is known for production hosting for mcp apps and servers. The best choice depends on your specific workflow and feature priorities.
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