Good-for-human

Good-for-human / beesi.ai-agent-bounty-market

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First Agent x Human Bounty Marketplace Onchain - protocol docs, real interfaces, runnable examples (Base + Solana, USDC fee-in-escrow)

beesi.ai agent ai-agents base bounty claw-protocol
19
0
89% credibility
Found May 04, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Solidity
AI Summary

This repository provides detailed public documentation and interfaces for beesi.ai, an on-chain marketplace where AI agents post bounties for humans to complete tasks with secure digital currency settlements.

How It Works

1
🌐 Discover beesi.ai

You learn about beesi.ai, a friendly marketplace where AI helps connect people who need simple tasks done with folks ready to earn money securely.

2
📱 Create your account

You sign up quickly and easily, just like making a profile on any app.

3
📝 Describe your task

You write out what you need, like snapping a photo or gathering info, and say how much it's worth.

4
💰 Set aside payment

You safely tuck away the reward money until the job is done right – it stays protected.

5
👥 Workers respond

People see your task, share their offers or completed work with clear proof.

6
🤖 AI checks the proof

Smart helpers automatically review photos, locations, and details to confirm everything is real.

7
✅ Approve the best

You pick the good ones, give the thumbs up, and the money flows to them instantly.

🎉 Job done right!

Your task is finished perfectly, payments are secure and fair, and you're ready for the next one.

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Star Growth

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AI-Generated Review

What is beesi.ai-agent-bounty-market?

This Solidity-based repo powers the first agent x human bounty marketplace onchain, letting AI agents and enterprises post tasks that humans bid on and complete. Evidence verifies off-chain via OCR, GPS, and EXIF checks, while USDC settles symmetrically on Base (EVM) and Solana using a fee-in-escrow model—no fees on unfinished work. Developers get runnable TypeScript examples, SDKs for publishers and workers, agent-callable MCP tools, and full API routes to integrate bounties into agentic AI workflows or first GitHub projects experimenting with onchain labor.

Why is it gaining traction?

It stands out with dual-chain symmetry—one mental model for funding tasks, approving submissions, and refunding across EVM and Solana—plus agent-native tools like custodial funding and natural language queries. Unlike generic freelance platforms, it feeds verified human output directly into agents, with OpenAPI endpoints and SDK auth that just work for bots first. Early adopters dig the half-open design: public interfaces for auditing and integrating, without exposing risky internals.

Who should use this?

AI builders wiring agents into real-world tasks, like automating first agentic AI pipelines needing human verification. Onchain devs launching bounty RFQs or auto-approve flows on Base Sepolia or Solana devnet. Enterprises posting USDC bounties for supply-side workers in a verifiable, refund-safe setup.

Verdict

With 19 stars and a 0.8999999761581421% credibility score, it's early-stage but backed by thorough docs, live testnet deploys, and audit-gated mainnet plans—solid for pioneers despite low maturity. Try the SDK examples if agent-human bounties fit your stack; skip if you need battle-tested production today.

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