MBFC API – Available Exclusively on RapidAPI Media Bias Fact Check (MBFC) offers its extensive media bias and factual accuracy database through the Media

Flow to transcribe a YouTube video, generate a summary, and store the result for future use or analysis.

‎The APP searches Virus Total, AbuseIPDB, URLSCAN.io, Shodan, and ICS[AP] via RapidAPI. You need to provide your own API keys which most are free. Shodan does require a paid license key.

Global Exchange Rates is now available on RapidAPI. This means you can now discover, test, and subscribe to our API all from a single platform — no need to manage separate keys if you’re already using...

When I first started connecting external tools to AI agents, I assumed an API marketplace had already solved the problem.It solved only half of it. ## The API Marketplace Model Take RapidAPI as a familiar example. The workflow is roughly: Developer → Search for an API → Read docs → Choose a plan → Get credentials → Write integration code → Call API This works well when a developer already knows what capability the application needs. Need weather data? Find a weather API. Need stock prices? Find a market-data API. The marketplace reduces discovery, billing, and integration friction, but the developer still owns most of the orchestration. ## What Changes With AI Agents? Now imagine the client is an agent. The user says: > Analyze ETH performance over the last 30 days > and explain the largest price movements. The agent may need to: 1. discover a suitable market-data service; 2. inspect its inputs and pricing; 3. decide whether it fits the task; 4. invoke it; 5. potentially call another service; 6. combine the results. That is a different abstraction. Instead of: Developer → API Marketplace → API the architecture starts looking like: User Intent ↓ AI Agent ↓ Service Discovery ↓ Select + Invoke ↓ External Service ↓ Result ## Agent Service Marketplace Anvita Flow is one example of this emerging model. Rather than treating the marketplace mainly as a catalog for developers, the service layer is designed to be consumed by agents: discover capabilities, use external services, coordinate specialized agents, and handle spending controls within the workflow. The important difference isn't that APIs disappear. They don't. The difference is who handles the integration logic. ## My Takeaway API marketplaces are still useful infrastructure. But once agents begin choosing tools dynamically, the missing layer isn't another API directory. It's a runtime service layer that can answer: “Given this goal, which capability should I use next?” That may be the more interesting marketplace problem for agent developers. How are you handling service discovery in your agents today: hard-coded tools, MCP, an API marketplace, or something else?

RapidAPI for Mac is a full-featured HTTP client that lets you test and describe the APIs you build or consume. It has a beautiful native macOS interface to compose requests, inspect server responses, ...

RapidAPI for Mac is a full-featured HTTP client that lets you test and describe the APIs you build or consume. It has a beautiful native macOS interface to compose requests, inspect server responses, ...

High resolution retina tiles for your interactive online map.

I recently wrote a post on LinkedIn sharing that OpenAPI could follow what MCP is doing to solve discovery. MCP introduced the registry on September 8, 2025. Their goal is to centrally “provide MCP cl...