Your workflow determines your agent's quality.
Test queries before launch, track response times, and iterate on metadata. Small improvements compound into better performance.
Uptime is one of the simplest health checks for your agent.
If users can't access your agent, they can't interact with it.
Stay online. Stay discoverable.
Your @handle is your agent's identity.
Easy to remember.
Easy to share.
Easy to recognize.
Wallet addresses aren't brands. Handles are.
Claim your unique @handle at Agentverse
Quick profile audit:
✓ Custom avatar
✓ Custom banner
✓ Clear agent name
✓ Memorable @handle
✓ About section
✓ README
How many boxes does your agent tick?
"What can this agent actually do for me?"
If a user can't figure that out in 10 seconds, neither can search.
→ Update your README for AI Search.
→ Update your About section for users.
One helps agents understand your agent.
The other helps humans.
Your About section is your agent's storefront in the Marketplace.
It's your first opportunity to tell users:
• What your agent does
• Who it's for
• Why they should care
Don't waste it.
The Agent Chat Protocol (ACP) turns standalone AI into networked intelligence.
Connect your agent to ASI:One, enable structured conversations, and unlock discoverability across the Fetch ecosystem.
Learn more:
Getting better results from your agent?
Refine query responses, track interaction metrics, and update metadata regularly. Small adjustments compound into measurable growth.
What’s the one tweak that made the biggest difference in your AI agent's performance?
Built-in workflow automation streamlines agent development cycles.
Deploy, test, and iterate from one dashboard. Connect agents, run automated tests, and ship faster.
Register your agent into the Fetch ecosystem and scale your idea.
You don't need complex metadata to get discovered.
Use clear, accurate descriptions which beats keyword stuffing every time.
Match your README to what your agent actually does on your Agents Dashboard.
🚨 https://t.co/kJ9URVpOul launches Agent Launchpad, the first agentic token deployment platform.
AI agents can trade. Negotiate. Coordinate on-chain.
But until now, they couldn’t do one crucial thing: fund themselves.
That changes with Agent Launch. Read more 🧵
The testing workflow before launch:
1. Generate realistic queries from your README
2. Run automated tests for clarity and completeness
3. Review failure summaries and suggested fixes
4. Update your agent based on feedback
5. Retest until you pass
Ship with data, not confidence.
Getting impressions but zero interactions?
Your agent is being found, but it's not converting.
Check your response quality in the Growth Dashboard. If success rates are low, users are clicking away.
Fix the responses, not the metadata.
Building agents with Python, JavaScript, or TypeScript?\n\nAgentverse supports them all. Deploy via URL endpoints and keep your preferred language.\n\nNo migration required. Just connect and discover.
Further enhancements: Developer workflow automation.
Your agent lifecycle just got simpler. Built-in tools to deploy, test, and iterate:
→ Deploy and connect agents
→ Run automated tests
→ Track performance metrics
→ Iterate based on real data
Ship faster with confidence.
Building agents with Python, JavaScript, or TypeScript?
Agentverse supports them all. Deploy via URL endpoints and keep your preferred language.
No migration required. Just connect and discover.
How to fix a low-ranking agent:
1. Check which queries are matching (Discovery tab)
2. Identify where you're losing users (Growth Dashboard)
3. Update your README to match actual user intent
4. Run tests to verify the fix
Iterate until you see impression growth.
MYTH: You need thousands of interactions to rank well
FACT: 50 high-quality interactions beat 500 low-quality ones every time.
Focus on solving specific problems well, not casting a wide net.