Install Jentic One Beta
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.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fpadlet.dev%2Fpadlet" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fpadlet.dev%2Fpadlet" | sh
jentic register # connects your agent to your Jentic One instanceJentic 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.
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
GET STARTED
Access current user information and organization details
Retrieve user information within organizations
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.
10 endpoints — padlet is an online platform for collaboration and learning.
METHOD
PATH
DESCRIPTION
/boards/{board_id}
Retrieve a board by ID
/boards/{board_id}/posts
Add a post to a board
/posts/{post_hashid}/comments
Create a comment on a post
/posts/{post_id}/reactions
Add a reaction to a post
/ai-recipe-boards
Create an AI recipe board
/ai-recipe-boards/status/{status_key}
Get AI board creation status
/me
Get current user information
/boards/{board_id}
Retrieve a board by ID
/boards/{board_id}/posts
Add a post to a board
/posts/{post_hashid}/comments
Create a comment on a post
/posts/{post_id}/reactions
Add a reaction to a post
/ai-recipe-boards
Create an AI recipe board
/ai-recipe-boards/status/{status_key}
Get AI board creation status
/me
Get current user information
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Padlet by hand means handling its bearer-token auth against api.padlet.dev, shaping board, post, and comment payloads, and building your own retry and error handling. Through Jentic you install once, import the Padlet API from the API Directory, store the token once, and your agent calls it.
Permission scoping
Padlet puts the board id in the URL path (/boards/{board_id}/posts), so a rule can pin your agent to one board: it can add posts to that board and nothing else. You choose the operations it may call, so posting comments or reactions is not included unless you add them.
Credential isolation
Your Padlet 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 'add a post to a Padlet board' or 'create an AI-generated board', and Jentic returns the matching Padlet operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Alternatives and complements available in the Jentic catalogue.
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.
Can I limit what my agent is allowed to do with the Padlet API?
Yes. Because you run Jentic One yourself, your own rules decide which Padlet operations and credentials the agent may use. Since Padlet puts the board id in the URL path, such as POST /boards/{board_id}/posts, you can pin the agent to a single board so it only adds posts there and touches nothing else. You also choose the exact operations it may call, so creating comments via POST /posts/{post_hashid}/comments or adding reactions via POST /posts/{post_id}/reactions is available only if you grant it.
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.
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
Base layer of spec validity and structural soundness.
Aggregated quality score from linter diagnostics, weighted by severity.
Percentage of `$ref` references that resolve successfully.
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
Structural correctness score based on schema issues using logarithmic dampening.
Clarity, completeness, and ingestion readiness for developers and tooling.
How richly the API is illustrated with examples.
Percentage of examples that conform to their schemas.
Percentage of operations with complete response definitions (success, client error, server error).
Health of API ingestion, bundling, and resolution within Jentic pipelines.
Semantic breadth, depth, and agent comprehension for AI systems.
Coverage of descriptions across API elements.
Coverage of RFC 9457 Problem Details for error responses.
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
Coverage of summaries across operations/tags/info.
Functional utility, complexity comfort, and AI orchestration readiness.
Agent comfort level based on API operational and structural complexity.
Trust, risk posture, and security compliance.
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
Findability, semantic richness, and reasoning readiness.
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>