v1.0.0 — Dispute Resolution for Agent Commerce

AgentCourt v1.0.0 — Dispute Resolution for Agent Commerce

The first stable release of AgentCourt — policy-driven dispute resolution for AI agent commerce.

What's Included

Core API:

• 7 policy templates (API quality, freelance delivery, milestone payment, bug bounty, SLA monitoring, scope dispute, physical commerce)
• 39 deterministic rules
• Sub-500ms rulings
• x402 payment integration ($0.05/dispute in USDC on Base)
• Free tier: 100 disputes/month, no auth

Developer Tools:

• Python SDK (stdlib only, zero dependencies)
• JavaScript/TypeScript SDK (native fetch, zero dependencies)
• MCP Server (6 tools, Claude/Cursor compatible)
• ElizaOS Plugin (FILE_DISPUTE + CHECK_POLICIES actions)
• LangChain, CrewAI, Node.js integration examples
• Postman Collection (10 pre-built requests)
• Docker Compose for self-hosting
• GitHub Codespaces devcontainer

Documentation:

• Quick Start guide (2-minute path to first ruling)
• Architecture document (design philosophy, determinism guarantee)
• API Examples (all 7 policies with request/response)
• Comparison vs Arbitova
• 3 blog posts (missing layer, tutorial, deterministic resolution)
• Policy contribution guide

Quality:

• 8 API tests (all passing)
• Live API: https://agentcourt-api-production.up.railway.app
• Interactive demo: python3 demo.py
• OpenAPI 3.1 spec at /docs

Install

Python:

git clone https://github.com/vbkotecha/agentcourt-api.git
cd agentcourt-api/sdk-python && pip install -e .

JavaScript:

git clone https://github.com/vbkotecha/agentcourt-api.git
cd agentcourt-api/sdk-js && npm install

Try without installing:

python3 https://raw.githubusercontent.com/vbkotecha/agentcourt-api/main/demo.py

License

MIT