Orthogonal
Unified API gateway letting AI agents discover and pay for 40+ premium third-party APIs on the fly through one SDK or MCP server, without managing separate API keys.
🔗 Visit Orthogonal
Description
When a person builds an app that calls several third-party APIs, they sign up for each one, manage separate keys, and set up billing with each vendor — a one-time chore. An autonomous AI agent that needs to call a new API mid-task doesn't have that luxury; it can't go fill out a signup form itself. Orthogonal solves that specific problem: it gives an AI agent one connection point that can reach dozens of real APIs and pay for each call automatically, as it goes, without a human setting up accounts in advance. Orthogonal exposes 40+ verified third-party APIs through a single SDK, REST endpoint, or MCP server, normalizing each provider's request/response format so an agent doesn't need custom integration code per API. It handles credential management, and bills per call using pay-per-use credits or onchain payment rails built on the emerging HTTP 402 ("Payment Required") standard — letting an agent discover, call and pay for a new API entirely on its own within a budget, rather than requiring a developer to pre-provision every integration an agent might ever need.
💬 Our review
The short version: Orthogonal is infrastructure for a specific, newly real problem — AI agents that need to call external APIs autonomously, without a human pre-configuring every possible integration in advance.
The technical bet here is on HTTP 402-based agentic payments becoming a real standard rather than a niche experiment, and Orthogonal is positioning itself early as the layer that makes that usable today across 40+ real APIs rather than waiting for every API provider to support agent-native billing individually. The founders' backgrounds (ex-Coinbase payments, ex-Vercel billing, ex-Google/Amazon Robotics) are a credible signal for a company betting specifically on payments infrastructure for agents. The honest caveat: this only matters if you're actually building autonomous agents that need to reach beyond a fixed, pre-integrated set of APIs — a normal application calling three or four APIs you already have accounts with gets little from Orthogonal's discovery/payment layer and should just integrate those APIs directly. It's also very early (YC W26, $4.3M seed) — the number of "40+ verified" APIs is a fraction of what any single-purpose integration platform (like Zapier) already connects to, so evaluate it specifically for the agent-autonomy use case, not as a general integration platform replacement.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Pros
Single SDK/MCP server for 40+ APIs, no per-provider integration code
Built on emerging HTTP 402 agentic-payment standard
No subscription — pay-per-call billing fits variable agent workloads
Founding team with real payments/billing infrastructure background
Cons
Only valuable for genuinely autonomous agent use cases, not standard app integrations
Very early stage — 40+ APIs is narrow next to general integration platforms
Betting on a payment standard (HTTP 402) still gaining adoption
🔄 Alternatives to Orthogonal
See all alternatives to Orthogonal →❓ Frequently asked questions
- What problem does Orthogonal actually solve?
- It lets an AI agent discover, call and pay for external APIs on its own, mid-task, without a human pre-configuring an account and API key for every service the agent might ever need.
- How does billing work?
- Pay-per-call, metered billing (roughly $0.01-$0.12 per call depending on the API) with $10 in free starting credits, plus a custom Enterprise tier — no subscription required.
- Is this the same as a tool like Zapier?
- No — Zapier connects APIs for a human-configured workflow set up in advance. Orthogonal is built for an autonomous agent that needs to discover and pay for a new API at runtime, without that pre-configuration.
- Is it worth the money compared to alternatives?
- Only if you're building genuinely autonomous agents that need to reach APIs beyond a small, fixed set you already integrate directly — for a standard app with a handful of known API dependencies, integrating them yourself is cheaper and simpler than adopting this layer.
- Which tool should you pick for your case?
- Building autonomous agents that need to call unplanned APIs at runtime: Orthogonal. Standard human-configured workflow automation across many apps: Zapier. Routing/managing LLM API calls specifically: Requesty.