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MockAgent

Mock APIs and tool calls for AI agents, no backend needed.

API
SaaS
Artificial Intelligence
Visit WebsiteSee on Product HuntVercel ⧉

Hunted byShaurya SinghShaurya Singh

Create virtual tool endpoints, validate agent tool-call JSON schemas, and track execution trajectories.

Top comment

I want to build the easiest way to test AI agents’ tools before connecting them to real services. Today, developers often need real APIs, credentials, or custom mock servers just to see whether an agent sends the right arguments and handles different responses. MockAgent gives each tool a mock endpoint with schema validation and configurable scenarios, so developers can test successful calls, invalid inputs, and edge cases without relying on production services. The goal is to make agent development faster, safer, and easier to repeat.

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About MockAgent on Product Hunt

“Mock APIs and tool calls for AI agents, no backend needed.”

MockAgent was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #19 on the daily leaderboard. Create virtual tool endpoints, validate agent tool-call JSON schemas, and track execution trajectories.

MockAgent was featured in API (98.7k followers), SaaS (44.5k followers) and Artificial Intelligence (479.9k followers) on Product Hunt. Together, these topics include over 194.7k products, making this a competitive space to launch in.

Who hunted MockAgent?

MockAgent was hunted by Shaurya Singh. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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