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APIs / Collaboration / Padlet API
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Padlet API

✓ Official Vendor SpecCollaborationContent Managementbearer10 EndpointsREST

For Agents

Manage Padlet boards, posts, comments, reactions, AI recipe boards, organizations, and users programmatically.

Use for: Retrieve a Padlet board by ID, Add a new post to a board with an attachment, Comment on a post in a board, React to a post with a like

Not supported: Manages boards, posts, comments, reactions, and AI recipe boards. Does not expose granular permission management, section manipulation, or webhook configuration — use the Padlet UI for those settings.

Padlet is an online platform for collaboration and learning. The API allows you to manage boards, posts, comments, reactions, organizations, and users programmatically. Padlet boards serve as collaborative workspaces where teams can share ideas, files, and feedback. The API exposes operations for retrieving boards, adding posts with attachments, creating comments, managing reactions, generating AI-powered boards from recipes, and accessing user and organization information.

Jentic One on GithubView OpenAPI Document

Install Jentic One Beta

Connect the Padlet API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Padlet 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.

1

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
2

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 Padlet API.

Retrieve board metadata including title, description, privacy settings, URL, and thumbnail

Add posts to boards with body text, subject, attachments, and color styling

Create comments on posts and retrieve post attachment data

Add reactions to posts to provide feedback and engagement

Generate AI-powered boards from recipes with status tracking

Access current user information and organization details

Retrieve user information within organizations

Use Cases

Patterns agents use Padlet API for, with concrete tasks.

★ Automated Content Publishing

Education platforms and content management systems can automatically publish learning materials, announcements, or updates to Padlet boards. POST /boards/{board_id}/posts creates a post with body text, subject, attachment URLs, and color options. This enables scheduled publishing, batch imports, or integration with content pipelines where materials are automatically posted to collaborative boards for teams or classrooms.

POST /boards/{board_id}/posts with body, subject, and attachment fields to publish content to a Padlet board.

AI-Powered Board Generation

Applications can leverage Padlet's AI capabilities to generate boards from natural language recipes. POST /ai-recipe-boards initiates board creation and returns a status_key for tracking progress. GET /ai-recipe-boards/status/{status_key} polls the creation status until complete, returning the board_url. This enables conversational board creation, automated curriculum generation, or template-based board setup guided by AI.

POST /ai-recipe-boards with a recipe and optional title, then poll GET /ai-recipe-boards/status/{status_key} until the board is created and board_url is returned.

Collaborative Feedback Collection

Team collaboration tools can integrate Padlet for collecting feedback via comments and reactions. POST /posts/{post_hashid}/comments adds comments to posts, and POST /posts/{post_id}/reactions registers reactions (e.g., likes). Combined with GET /boards/{board_id}, applications can display board content and aggregate feedback, enabling voting, sentiment analysis, or discussion threading for product feedback, brainstorming, or classroom participation.

GET /boards/{board_id} to retrieve the board and its posts, then POST /posts/{post_id}/reactions or POST /posts/{post_hashid}/comments to add reactions and comments.

Key Endpoints

10 endpoints — padlet is an online platform for collaboration and learning.

METHOD

PATH

DESCRIPTION

GET

/boards/{board_id}

Retrieve a board by ID

POST

/boards/{board_id}/posts

Add a post to a board

POST

/posts/{post_hashid}/comments

Create a comment on a post

POST

/posts/{post_id}/reactions

Add a reaction to a post

POST

/ai-recipe-boards

Create an AI recipe board

GET

/ai-recipe-boards/status/{status_key}

Get AI board creation status

GET

/me

Get current user information

GET

/boards/{board_id}

Retrieve a board by ID

POST

/boards/{board_id}/posts

Add a post to a board

POST

/posts/{post_hashid}/comments

Create a comment on a post

POST

/posts/{post_id}/reactions

Add a reaction to a post

POST

/ai-recipe-boards

Create an AI recipe board

GET

/ai-recipe-boards/status/{status_key}

Get AI board creation status

GET

/me

Get current user information

Why Jentic?

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

Credential management

Credential isolation

Padlet bearer tokens are stored encrypted in the Jentic vault and injected as the Authorization header at execution time. Tokens never appear in agent prompts, transcripts, or response payloads.

Intent-based discovery

Intent-based discovery

Agents search by intent such as 'add a post to a padlet board' or 'create an AI-generated padlet board' and Jentic returns the matching endpoint with its schema and required parameters.

Time to first call

Time to first call

Direct Padlet integration: 1-2 days to model boards, posts, comments, reactions, and AI board generation flows. Through Jentic: under 1 hour — search, load schema, execute.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

Miro API

→

Miro offers collaborative whiteboards with more advanced diagramming and brainstorming features.

Use Miro for visual collaboration and diagramming; use Padlet for simpler content sharing and classroom collaboration.

Alternative

Notion API

Notion provides structured workspace pages and databases for team collaboration.

Use Notion for structured wikis and databases; use Padlet for flexible, visual collaborative boards.

Complementary

Trello API

→

Trello focuses on task management with kanban boards.

Use Trello for task tracking; use Padlet for content sharing and collaborative ideation.

FAQs

Specific to using Padlet API through Jentic.

What authentication does the Padlet API use?

The Padlet API uses bearer token authentication. Obtain an API token from your Padlet account settings and pass it in the Authorization header as 'Bearer <token>'. Through Jentic, tokens are stored encrypted and injected automatically at execution time.

Can I generate boards with AI through the API?

Yes. POST /ai-recipe-boards with a recipe description initiates AI-powered board creation and returns a status_key. Poll GET /ai-recipe-boards/status/{status_key} to check progress. When complete, the response includes the board_url.

How do I add posts with attachments?

Use POST /boards/{board_id}/posts with the body, subject, attachment (URL), and optional color fields. The attachment field accepts a URL to the file or resource you want to attach.

Is the Padlet API free?

Padlet offers free and paid plans. API access and usage limits depend on your account tier. Check Padlet's pricing page for current plans and API access details.

Can I retrieve attachment data for posts?

Yes. GET /posts/{post_id}/attachmentData returns the attachment URL, content type (MIME type), and original filename for a specific post.

GET STARTED

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View OpenAPI Document