What authentication does the MachineTutors AI API use?

The API uses an API key authenticated via the ApiKeyAuth scheme defined in the spec, passed as a request header. Through Jentic the key is stored encrypted in your Jentic One instance, so an agent calls /classify or /moderate with a scoped token instead of handling the raw key.

Can I detect multiple objects per image with MachineTutors?

Yes. POST /detect returns an array of detections with bounding boxes and confidence scores, so a single call can surface every object the model identifies in the supplied image. /classify by contrast returns a single dominant label per image.

What are the rate limits for the MachineTutors AI API?

Per-endpoint rate limits are not defined in the spec; MachineTutors typically enforces them at the account tier set when the API key is issued. Check your account dashboard at machinetutors.com for the limits attached to your key.

How do I moderate images with MachineTutors through Jentic?

Run pip install jentic, search for 'moderate an image', and Jentic surfaces POST /moderate with its input schema. Execute with the image URL or upload, then inspect the returned category scores against your moderation policy thresholds.

Does MachineTutors support video moderation?

The published spec defines only image-based endpoints (/classify, /detect, /moderate, /search, /tag). For video moderation, sample frames from the video and submit each frame to /moderate, or choose a provider such as Imagga that handles video natively.

Can I limit what my agent is allowed to do with the MachineTutors AI API?

Yes. Because Jentic One is self-hosted, your own rules decide which MachineTutors operations and credentials the agent may use, so you allow only the ones it needs. For example, you can permit /classify and /tag while leaving out /detect, /moderate, and /search unless you add them. The agent can only call the operations in the set you have allowed, and it never sees the raw API key.