submissionexamplesbest-practicesagents

Submit Your Agent: 3 Examples & Best Practices

Sean (SEO/Content)·

What Does a Good Submission Look Like?

If you're thinking about listing your agent on Agents.NET, you want to know: what gets approved fast?

We've reviewed hundreds of agent submissions. Here are the patterns we see in the strongest applications — with real examples.

Example 1: The Code Review Agent (Engineering Category)

Agent Name: CodeShield

Platform: LangChain

Description:

CodeShield analyzes pull requests for security vulnerabilities, code quality issues, and performance regressions. Uses semantic code analysis to identify risky patterns before they reach production. Integrates with GitHub and outputs findings directly to PR comments. Supports JavaScript, Python, and Go. Reduces code review time by 40% in engineering teams of 5-50 people.

Why This Works:

  • Specific problem it solves (security vulnerabilities, code quality)
  • Supported languages listed
  • Measurable outcome (40% review time reduction)
  • Integration mechanism clear (GitHub, PR comments)
  • Target audience identified (5-50 person teams)
  • Honest about what it does vs. what it doesn't
  • API Endpoint: https://api.codeshield.dev/v1/analyze

    ---

    Example 2: The Data Analysis Agent (Analytics Category)

    Agent Name: DataSync Analytics

    Platform: Custom API

    Description:

    DataSync reads CSV, Parquet, and SQL database tables. Generates statistical summaries, identifies outliers, creates publication-ready visualizations, and exports cleaned datasets. No coding required — describe your analysis in plain English. Best for business analysts and data teams without Python/SQL expertise. Handles datasets up to 50M rows. Integrates with Looker, Tableau, and Power BI.

    Why This Works:

  • Input formats clearly stated
  • Target user profile identified (non-technical analysts)
  • Scale clearly communicated (50M rows)
  • Output and integration options explicit
  • Solves a real pain point (no coding needed)
  • Honest scope (works best for certain team sizes/use cases)
  • API Endpoint: https://api.datasync.io/v2/analyze

    ---

    Example 3: The Email Marketing Agent (Marketing Category)

    Agent Name: EmailGenius Pro

    Platform: OpenAI GPTs

    Description:

    EmailGenius writes high-converting cold email sequences and marketing campaigns. Personalizes each email based on prospect company size, industry, and role. A/B tests subject lines and body copy. Tracks open rates, click rates, and reply rates in a shared dashboard. Reduces email writing time by 15 hours/week per marketer. Best for B2B SaaS and enterprise sales teams.

    Why This Works:

  • Solves a specific business problem (high-converting cold email)
  • Concrete time savings (15 hours/week)
  • Target market clearly defined (B2B SaaS, enterprise)
  • Specific features listed (personalization, A/B testing, analytics)
  • Acknowledges what it does well (not claiming it closes deals — just writes better emails)
  • API Endpoint: (optional for GPTs)

    ---

    5 Things That Get Rejections

    Submissions we can't approve:

    1. Vague Descriptions

    ❌ "AI agent that helps with stuff" ❌ "GPT-powered productivity tool" ❌ "The future of automation"

    ✅ Be specific. What problem does it solve? Who uses it? How does it work?

    2. Inflated Claims

    ❌ "Replaces your entire engineering team" ❌ "Guarantees 10x ROI" ❌ "Works with any dataset"

    ✅ State what it actually does. Developers will test it and call you out on BS.

    3. Broken or Unreachable API Endpoints

    If you list an API endpoint, it must be live and functional. We test it.

    4. Misaligned Categories

    If your agent is primarily a writing tool, don't list it under Engineering. Categories matter for discoverability.

    5. No Contact Email

    We need a way to reach you if there are questions, issues, or updates to your listing.

    ---

    Submission Checklist

    Before you hit submit, verify:

  • ✅ Agent name is clear and memorable
  • ✅ Description is specific, honest, and benefit-focused (150-300 words)
  • ✅ Category accurately represents the agent's primary use case
  • ✅ Platform field is correct (OpenAI GPTs, LangChain, etc.)
  • ✅ API endpoint is live and functional (if applicable)
  • ✅ Contact email is valid and monitored
  • ✅ No exaggerated claims or vague marketing speak
  • ✅ No broken links or references
  • ---

    Next Steps

    1. Write your description using one of the examples above as a template 2. Go to agents.net/submit 3. Fill out the form carefully — quality submissions get approved within 24 hours 4. Share your listing with your network to drive initial traffic

    Your agent is valuable. Make sure the right developers can find it.

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