Claid.ai Image Editing API

Name: Claid.ai Image Editing API
Brand: Claid.ai Image Editing API
Availability: InStock

★ Only Publicly Available OpenAPI DocumentMediaImage Processingbearer11 EndpointsREST

For Agents

Run AI image edits - upscale, remove background, smart crop, convert formats - synchronously, asynchronously, or in batch through Claid.ai. Useful for any agent that needs to produce ecommerce-ready or social-ready images on demand.

Install Jentic One Beta

Connect the Claid.ai Image Editing API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Claid.ai Image Editing API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Claid.ai Image Editing API.

Apply AI image edits such as upscaling, background removal, and smart cropping in a single synchronous call

Submit large or slow edit jobs asynchronously and poll the job id for completion

Process many images in one batch and track the batch id through to completion

GET STARTED

Start building with Claid.ai Image Editing API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Claid.ai Image Editing API for, with concrete tasks.

★ Ecommerce product image pipeline

An online retailer feeds raw product photos through Claid to remove backgrounds, smart-crop to a consistent aspect ratio, and upscale for the product listing page. Large drops are submitted via POST /v1-beta1/image/edit/batch and the resulting batch id is polled with GET /v1-beta1/image/edit/batch/{batchId}. With a storage connector configured, the cleaned images land directly in the retailer's CDN bucket.

Submit a batch of 50 product image URLs to /v1-beta1/image/edit/batch with background removal and 1:1 smart crop, then poll the batch id every 30 seconds

On-demand social media image preparation

A social-publishing tool calls POST /v1-beta1/image/edit synchronously to crop and resize a hero image to multiple platform-specific dimensions in one request. The synchronous mode keeps the user-facing flow under a few seconds for typical input sizes, while async is reserved for heavier upscales. The bearer-token auth lets the publishing tool call Claid as a backend service without exposing the key to the browser.

POST /v1-beta1/image/edit with a source URL and a smart-crop preset for 1080x1350, then return the result URL

Storage connector setup for private buckets

Teams that do not want to relay images through their own infrastructure configure a storage connector via POST /v1-beta1/storage/connectors. Claid then writes edit outputs straight to the configured bucket and the team manages credentials in one place rather than per-request. GET, PUT, and DELETE on /v1-beta1/storage/connectors/{connectorId} cover the lifecycle.

Create an S3 storage connector for bucket 'product-images-prod' with the supplied access key, then verify it appears in GET /v1-beta1/storage/connectors

Agent integration via Jentic

Through Jentic, an agent helping a marketing team can resolve intents like 'upscale this image to 4K' to the right Claid endpoint and parameters without browsing the docs. The bearer API key is held in the Jentic credential vault and injected only at execution time.

Search Jentic for 'remove image background', load the schema for POST /v1-beta1/image/edit, and execute it with the user-supplied source URL

Key Endpoints

11 endpoints — jentic publishes the only available openapi specification for claid.

METHOD

PATH

DESCRIPTION

POST

/v1-beta1/image/edit

Edit an image synchronously

POST

/v1-beta1/image/edit/async

Submit an async edit job

GET

/v1-beta1/image/edit/async/{jobId}

Check async job status

POST

/v1-beta1/image/edit/batch

Submit a batch edit

GET

/v1-beta1/image/edit/batch/{batchId}

Check batch status

POST

/v1-beta1/image/edit/upload

Upload an image and edit it

POST

/v1-beta1/storage/connectors

Create a storage connector

GET

/v1-beta1/storage/connectors

List storage connectors

POST

/v1-beta1/image/edit

Edit an image synchronously

POST

/v1-beta1/image/edit/async

Submit an async edit job

GET

/v1-beta1/image/edit/async/{jobId}

Check async job status

POST

/v1-beta1/image/edit/batch

Submit a batch edit

GET

/v1-beta1/image/edit/batch/{batchId}

Check batch status

Why Jentic?

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

Credential isolation

Your Claid token is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'upscale an image' or 'remove an image background', and Jentic returns the matching Claid operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

Time to first call

FAQs

Specific to using Claid.ai Image Editing API through Jentic.

Why is there no official OpenAPI spec for Claid.ai Image Editing API?

Claid.ai does not publish an OpenAPI specification. Jentic generates and maintains this spec from the Claid developer documentation so AI agents and developers can call Claid through structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.

What authentication does the Claid.ai API use?

Claid.ai uses HTTP bearer authentication - your Claid API key is sent as the bearer token in the Authorization header. Through Jentic, the key is stored encrypted in the credential vault and injected only at execution time.

Can I process many images in one call with Claid.ai?

Yes. POST /v1-beta1/image/edit/batch accepts a list of source images and a transformation set, and returns a batchId. Poll GET /v1-beta1/image/edit/batch/{batchId} for completion. For single heavy edits, the async endpoint at /v1-beta1/image/edit/async returns a jobId you poll the same way.

How do I remove a background through Jentic?

Search Jentic for 'remove image background'. Jentic returns POST /v1-beta1/image/edit with the input schema for transformations. Load the schema, set the background-removal flag in the operations payload, and execute it with the source image URL - no need to read the Claid docs first.

What are the rate limits for the Claid.ai API?

The OpenAPI spec does not declare formal rate limits. Claid applies per-account quotas tied to the plan; treat 429 responses as a signal to back off and confirm sustained throughput needs with Claid support before peak load.

Can Claid.ai write outputs directly to my own cloud storage?

Yes. Configure a storage connector via POST /v1-beta1/storage/connectors with credentials for an S3 or compatible bucket. Subsequent edit jobs can target that connector so Claid writes the result directly to your bucket without a round-trip through your servers.

Can I limit what my agent is allowed to do with the Claid.ai Image Editing API?

Yes. Because you run Jentic One yourself, you decide which Claid.ai operations the agent may call and hold the API token, so you can allow just an image edit at POST /v1-beta1/image/edit and polling its async job while leaving everything else out. Claid.ai takes the image and edit parameters in the request body rather than the URL path, so scoping is done at the operation level rather than by path patterns. If you do not grant them, batch editing at /v1-beta1/image/edit/batch and storage-connector setup at /v1-beta1/storage/connectors stay off limits to the agent.

Claid.ai Image Editing API

Connect the Claid.ai Image Editing API to your agent

Capabilities

Start building with Claid.ai Image Editing API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs