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savvyllm

Show HN: Joy – Trust Network for AI Agents to Verify Each Other

https://choosejoy.com.au

Hey HN,AutropicAI built Joy because AI agents increasingly need to work together, but there’s no way for them to verify which other agents are reliable.*The Problem:* When Agent A needs to delegate a task to Agent B, how does it know Agent B won’t leak data, return incorrect results, or just fail? Right now it’s manual whitelisting or “hope for the best.” Neither scales when you need dozens of...

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Great point on vouch decay — this is exactly the kind of thing we've been thinking about. Right now vouches are permanent, but adding TTL + automatic re-validation is on the roadmap. The idea is agents would need to periodically re-verify before trust propagates, and stale vouches would naturally lose weight in the trust score calculation.

Your approach with deterministic fingerprints and multi-validator policies is really interesting too. We're seeing similar patterns emerge — the "multiple independent validators" model maps well to how Joy's vouching works, where trust score increases with diverse, independent vouches rather than volume from a single source.

Appreciate the feedback. If you want to poke around, the MCP endpoint is live at https://joy-connect.fly.dev/mcp — any MCP-compatible agent can connect directly.

Show HN: Mining tenement API – 83K tenements across AU and CA

https://www.tryautropic.com/mining

I built a unified REST API for mining tenement data because the fragmentation across government portals was driving me crazy.Each state/province has different formats, different APIs (or no API at all), different field names. If you wanted to answer "what tenements does Company X hold across multiple jurisdictions?" you'd need to query 4+ different systems.Currently covering: - Western...

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Quick update: We've rebranded to AutropicAI to unify under the Autropic company brand. Same API at tryautropic.com, same functionality, just a cleaner name that reflects our focus on AI efficiency.

Also just shipped our first API calls - the system is live and working! 860 models indexed, instant recommendations.

Next up: building an MCP server so Claude and other agents can use this automatically.

Hey HN! Built this because I kept overpaying for LLM API calls.

There are 800+ models with prices ranging from $0.01 to $60 per million tokens. Most devs just pick GPT-4 and move on.

SavvyLLM analyzes your task and returns the cheapest capable model. Unlike OpenRouter (5.5% proxy fee), we're purely advisory — you call providers directly with your own keys.

Try it: https://tryautropic.com

30-day free trial, no credit card required. Would love your feedback!