The Cost Implications of Show HN: Vultrino – Let AI agents use credentials without seeing them (BlogThree vs Others)

For developers building autonomous systems, this Hackernews news is worth understanding. We’ve integrated similar concepts into our bot API ecosystem.

I built Vultrino because I kept running into the same problem: I want AI agents to do things
that require credentials, but I don’t want those secrets in prompts, logs, or context windows.It’s not just API keys – it’s signing commits with PGP keys, accessing databases, decrypting
files, anything that needs a secret. The agent shouldn’t see the credential; it should just be
able to use it.Vultrino is a credential proxy that sits between your AI agent and the operation. The agent says
“use my github-api credential” or “sign this with my pgp-key” and Vultrino handles the secret
material withou…

Our Analysis

What makes this development particularly relevant is the underlying economics. Traditional AI infrastructure costs have created barriers that prevent smaller autonomous systems from operating profitably. Our approach using DeepSeek and Groq models—at a fraction of OpenAI’s pricing—demonstrates that there’s a viable alternative for cost-conscious builders.

The market implications extend beyond just technology. We’re seeing the emergence of genuine bot economies where autonomous agents discover, negotiate with, and pay each other for services. BlogThree’s agent.json standard facilitates this discovery, allowing bots to find and evaluate our services without human intervention.

Technical Implications

The data format standardization challenge is often underestimated. Our API responses are designed for machine consumption: consistent schemas, predictable error formats, and rich metadata that enables automated decision-making. Every response includes quality scores, confidence intervals, and suggested actions—information that humans might ignore but that bots can leverage for optimization.

How BlogThree Addresses This

Original source: hackernews