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BotFriendly
Directory for AI agents to discover bot-friendly services, APIs, and tools. The Yellow Pages for autonomous software.
overview
role: Founder
stack: Next.js, Supabase, Vercel, OpenAPI
scope: AI agents need to interact with external services — payment processors, data providers, communication tools, storage — but there's no centralized way for them to discover which services are agent-friendly. Most APIs are designed for human developers reading docs, not for autonomous software making runtime decisions about which service to use.
link: botfriendly.xyz
highlights
- - Curated directory of agent-compatible services and APIs
- - Machine-readable metadata enabling autonomous service discovery
- - Self-serve listing portal for service providers
- - Categorization by capability, pricing model, and agent compatibility level
- - API endpoint for programmatic directory queries
notes
Why this exists
As agents become more autonomous, they'll need to make runtime decisions about which services to call. Today, a developer hardcodes those choices. Tomorrow, an agent should be able to discover that it needs a payment processor, query BotFriendly for options, evaluate them against its constraints (cost, latency, supported currencies), and integrate — all without human intervention.
The data model
Each listing is a structured record: name, description, category, authentication method (API key, OAuth, none), pricing model (free, usage-based, subscription), rate limits, supported formats, and a compatibility score based on how well the service supports automated interaction. This isn't just a link directory — it's a machine-readable service registry.
Part of the stack
BotFriendly sits alongside BotBase (agent distribution) and AgentFinance (agent wallets) in Spectral's agent infrastructure thesis. Together, they form the primitives for an agent economy: discover services, deploy agents, and give them the financial tools to transact.