Agent-as-a-Judge
👩⚖️ Agent-as-a-Judge: The Magic for Open-Endedness - metauto-ai/agent-as-a-judge
👩⚖️ Agent-as-a-Judge: The Magic for Open-Endedness - metauto-ai/agent-as-a-judge
Starting price
From $ 4 USD
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Development and Tools
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Agent-as-a-Judge is a practical fit for buyers evaluating Development and Tools, Model training and deployment, and #Automatic evaluation tools.
- Who is it for?
- AI developers who need automated code evaluation and reward signals; better than manual review for consistent, scalable assessment.
- Pricing
- freemium
Product information
What this product does
👩⚖️ Agent-as-a-Judge: The Magic for Open-Endedness - metauto-ai/agent-as-a-judge
Sourced from arxiv.org
Works With
Platforms
- Web
- iOS
Company & Maker
Who built Agent-as-a-Judge?
- Product
- 👩⚖️ Agent-as-a-Judge: The Magic for Open-Endedness - metauto-ai/agent-as-a-judge
- Live since
- Oct 2024
The maker hasn't published a public statement we can verify yet.
Researched with AI · Data refreshed 4 hours ago · How we score
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Agent-as-a-Judge is an open-source command-line tool that automatically evaluates code-generation tasks and provides reward signals by calling multiple large language models. It is used by AI developers, researchers, and enterprise teams to assess code quality and project outcomes.
Who should use
Buyer-fit is derived from approved personas and use-case evidence. Search-volume noise stays labeled separately.
Best-fit workflows
- Use Agent-as-a-Judge for code generation task evaluation to improve development efficiency
- Utilize this tool to automatically evaluate student projects in AI teaching and provide instant feedback
- Integrate Agent-as-a-Judge into internal development processes within enterprises to achieve efficient code quality assessment
- Automates evaluation of code-generation tasks by running multiple LLMs and aggregating scores.
- Generates reward signals for reinforcement learning or self-improvement loops in AI development.
- Evaluates student projects in AI courses with instant feedback via command-line scripts.
Pricing reality
Vendor stated
Open source, free to use.
Actual cost
Costs depend on LLM API usage; no built-in cost tracking.
Hidden costs
2 hidden cost warnings — unlock to view
Pricing reality
Last updated Oct 2026
Starting price
From $ 4 USD
Free tier available.
Mindber only shows named plan cards when they come from linked pricing evidence. If the tier data is incomplete, this page falls back to the listed starting price instead of fabricating plan names or $0 tiers.
Git Large File Storage
$5 per month for 50 GB bandwidth and 50 GB of storage.
$5/mo
$ 4 USD per user/month
$ 4 USD
$ 4 USD per user/month for the first 12 months*
$ 4 USD
$ 21 USD per user/month
$ 21 USD
General buyer tips
Common across software subscriptions, not findings about this product.
True cost for your case
LIVE ESTIMATEEstimated spend
$12Recurring billing is usually the real cost driver, not the first-month sticker price.
Prices change often — confirm on the vendor's site before you buy.
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Engagement signals (30d)
Based on 6 linked public signals.
Mindber Activity Score™
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HOW THIS TOOL SCORES
Scores compare this tool with 17 similar tools in Development and Tools. Use it to judge Innovation and Capability before you shortlist.
Innovation Index™
Is it new, different, and easy to understand?
Medium confidence (65%) - some sub-scores have thin evidence.What this means →
Functionality Score™
Does it cover the jobs buyers expect, and can it keep up?
Medium confidence (60%) - some sub-scores have thin evidence.What this means →
Data sources
Traffic & search proof
Public view keeps the ratio story. Paid view unlocks exact monthly visits, full region coverage, and CPC-level keyword intelligence.
Latest traffic snapshot
Monthly visits
645.5M
Avg visit duration
--
Pages per visit
--
Bounce rate
--
Traffic trend
Month-by-month visits from linked public traffic evidence.
Geography
Top regions
Exact monthly traffic is paid-only. Public view keeps percent share only.
Traffic sources
Source mix snapshot
Public view keeps the ratio snapshot. Minor channels stay behind the paid view.
FAQ
Only linked Q and A rows are shown. Empty FAQ data stays hidden.
Social mentions
Only linked public mention evidence is shown here.
Sources and methodology
Only evidence with a linked source record or explicit feature provenance is shown here. Data without provenance stays off the page.
COMMUNITY CREDITS
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