AIception Interactive

Name: AIception Interactive API
Brand: AIception Interactive
Availability: InStock

★ Only Publicly Available SpecAI/MLVisionapiKey10 EndpointsREST

For Agents

Run image analysis tasks for adult-content moderation, object detection, face detection, face-age estimation, and artistic style transfer. Tasks are created with POST and results retrieved by task id.

Quickstart

Get started with AIception Interactive in minutes using your preferred integration method.

# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
  "jentic": {
    "url": "https://api.jentic.com/mcp",
    "auth": "oauth"
  }
}

# Then ask your agent:
"moderate an image for adult content"

# → Jentic returns the GET /events tool with parameter schema, agent executes.

Capabilities

What an agent can do with AIception Interactive API.

Flag images that contain nudity or sexual content via the /adult_content task workflow

Recognise the primary object in an image with the /detect_object endpoint

Locate every face in a photograph and return their positions

Estimate the age of a person in a portrait through /face_age

GET STARTED

Start building with AIception Interactive API

Explore with Jentic

View OpenAPI Spec

Use for: I need to moderate user-uploaded images for explicit content, Detect what is in this image and return a label, Find all faces in a group photo, Estimate the age of the person in this image

Not supported: Does not handle text generation, language models, or audio analysis — use for image moderation, object recognition, face analytics, and style transfer only.

Jentic publishes the only available OpenAPI specification for AIception Interactive, keeping it validated and agent-ready.

Jentic publishes the only available OpenAPI specification for AIception Interactive, keeping it validated and agent-ready. AIception provides image-analysis services covering content moderation, object detection, face detection, face age estimation, and artistic style transfer. Each endpoint follows an asynchronous task pattern: a POST creates a task that returns a task id, and a GET retrieves the answer once processing is complete. Authentication is via a UserSecurity API key sent as a header.

Use Cases

Patterns agents use AIception Interactive API for, with concrete tasks.

★ Marketplace Image Safety

Filter listings on a marketplace so adult or sexual content never reaches public pages. Each upload is sent to /adult_content, the returned task id is polled, and only safe images are published. The asynchronous pattern keeps the upload UX responsive while moderation happens server-side.

POST each new listing image to /adult_content and only publish listings whose /adult_content/{taskId} result is safe

Auto-Tagging Photo Catalogues

Tag a stock-photo or product catalogue automatically by recognising the dominant object in each image. Run /detect_object across the catalogue and store the returned label as a search tag, replacing manual cataloguing for tens of thousands of images.

Iterate the catalogue, POST each image URL to /detect_object, poll /detect_object/{taskId}, and store the label on the asset record

Profile Picture Audience Insight

Use /face and /face_age to analyse profile pictures across an audience, producing aggregate insight on apparent age distribution. The combination of face detection and age estimation supports product analytics and demographic reporting where users have consented to image analysis.

Sample 1000 profile photos, run /face_age on each, poll for results, and aggregate the ages into a histogram

Stylised Brand Imagery

Produce stylised marketing variants from a master photo by applying different artistic style references. Use /artistic_image to combine the master image with several styles in parallel and pull the resulting URLs from each task, replacing manual editing for campaign variants.

POST one content image with three style image URLs to /artistic_image and collect the stylised outputs from each /artistic_image/{taskId}

Agent-Driven Image Pipeline via Jentic

An agent handles image uploads end to end: moderate, classify, and analyse faces. Through Jentic the agent searches for the relevant operation, the AIception API key is supplied from the vault, and POST + GET task chaining is wrapped behind a single tool call.

Use Jentic search 'detect adult content in an image', execute /adult_content, then chain /detect_object on the same URL and report both verdict and label

Key Endpoints

10 endpoints — jentic publishes the only available openapi specification for aiception interactive, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

POST

/adult_content

Create an adult-content moderation task

GET

/adult_content/{taskId}

Retrieve adult-content moderation result

POST

/detect_object

Create an object detection task

POST

/face

Create a face detection task

POST

/face_age

Create a face age estimation task

POST

/artistic_image

Create an artistic style transfer task

POST

/adult_content

Create an adult-content moderation task

GET

/adult_content/{taskId}

Retrieve adult-content moderation result

POST

/detect_object

Create an object detection task

POST

/face

Create a face detection task

POST

/face_age

Create a face age estimation task

Why though Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

The AIception UserSecurity API key is stored encrypted in the Jentic vault. Agents call /adult_content, /detect_object, and /face endpoints through Jentic without ever seeing the raw key.

Intent-based discovery

Agents search by intent (e.g. 'detect adult content in an image') and Jentic returns the matching AIception operation with its image_url request schema, so the agent calls the right endpoint without reading docs.

Time to first call

Direct integration: 1-2 days for the async task pattern, polling, and key handling. Through Jentic: under 30 minutes — search, load, execute.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

Clarifai API

Vision platform with classification, moderation, and custom model training

Choose Clarifai for richer vision capabilities, custom training, or higher synchronous throughput.

Alternative

DeepAI API

Catalogue of vision and generative endpoints including style transfer

Pick DeepAI for a single vendor that bundles NSFW detection, style transfer, and other generative endpoints.

Complementary

Cloudmersive OCR API

Document OCR that pairs with AIception's vision tasks

Add Cloudmersive when AIception identifies the image but you also need to extract text from it.

FAQs

Specific to using AIception Interactive API through Jentic.

Why is there no official OpenAPI spec for AIception Interactive?

AIception does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call AIception Interactive via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.

What authentication does the AIception Interactive API use?

An apiKey scheme called UserSecurity, sent as a header on every request. Through Jentic the key is held in the vault and never enters the agent's context.

Can I detect explicit content in user uploads?

Yes. POST the image URL to /adult_content, receive a task id, and GET /adult_content/{taskId} to retrieve the verdict. The asynchronous pattern means uploads are not blocked while moderation runs.

What are the rate limits for the AIception Interactive API?

The spec does not declare explicit rate limits. The asynchronous task pattern is the primary throttling mechanism — work is queued, and you poll for results rather than blocking on each call.

How do I run face age estimation through Jentic?

Run pip install jentic, search 'estimate age from a photo', and Jentic returns the AIception /face_age operation. Execute it with an image_url and poll /face_age/{taskId}. Sign up at https://app.jentic.com/sign-up.

Can I generate artistic versions of an image?

Yes. POST both image_url and style_url to /artistic_image. The task returns a stylised image URL when retrieved via GET /artistic_image/{taskId}.