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MockAgent
Mock APIs and tool calls for AI agents, no backend needed.
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.
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.
On the analytics side, MockAgent competes within API, SaaS and Artificial Intelligence — topics that collectively have 623.1k followers on Product Hunt. The dashboard above tracks how MockAgent performed against the three products that launched closest to it on the same day.
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.
For a complete overview of MockAgent including community comment highlights and product details, visit the product overview.
Shaurya Singh