Install Jentic One Beta

Connect the Jabbertoon tools for AI assistants and developers to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Jabbertoon tools for AI assistants and developers, 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%2Fjabbertoon.com%2Fjabbertoon" | sh

Step 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%2Fjabbertoon.com%2Fjabbertoon" | 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 Jabbertoon tools for AI assistants and developers API.

Read one topic of the cartoon-writing guide, such as start, cartoon, moves, voices, or limits, as Markdown with GET /api/get_guide

List the six ready-made characters (person, kid, dog, cat, bird, monster), their colour slots, and voices with GET /api/list_characters

List art styles like crayon and storybook and body shapes like bighead with GET /api/list_looks

Search ready-made moves by word, so q 'dance' finds Groove, with GET /api/list_moves, and fetch one move's block program with GET /api/get_move

GET STARTED

Start building with Jabbertoon tools for AI assistants and developers API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use Jabbertoon tools for AI assistants and developers API for, with concrete tasks.

★ Cartoon-writing assistant through Jentic

An assistant asked for a short cartoon can write it end to end. Through Jentic it finds each Jabbertoon tool by intent: it reads GET /api/get_guide with topic start, casts characters from GET /api/list_characters, picks moves from GET /api/list_moves, checks the program with POST /api/validate, and returns a studio link from POST /api/share_link. No key is involved at any step.

Call GET /api/get_guide with topic 'cartoon', write a two-character program for a dog and a cat, call POST /api/validate with that cartoon and repair true, then call POST /api/share_link with the repaired program

Validation and auto-repair before sharing

A cartoon written by a model often has small mistakes: an unknown op, a character off stage, a line cut off. POST /api/validate returns errors and warnings, each with code, where, says, fix, and url, plus did_you_mean and an RFC 6902 patch when the fix is certain, along with a summary of who is where and says what when. With repair set to true it also returns the program with every certain patch applied.

Call POST /api/validate with the cartoon object and repair true, then report each remaining error's code and fix

Building custom moves from ready-made ones

To animate something the library lacks, start from the closest ready-made move. GET /api/get_move returns a move's block program as JSON and as screenplay text, by id like c4c:beh:wave_hello, short name, or page slug. Change it, validate it with POST /api/validate as a program, then open it in the block editor with POST /api/share_link.

Call GET /api/get_move with move 'wave_hello', change the program so the character hops after waving, validate it via POST /api/validate with program set to the result, then share it via POST /api/share_link

Key Endpoints

13 endpoints — the jabbertoon api gives an assistant the tools to write talking cartoons in jabbertoon's block language over plain http, with no key and no account.

METHOD

PATH

DESCRIPTION

GET

/api/get_guide

Read the cartoon-writing guide

GET

/api/list_characters

List characters and voices

GET

/api/list_moves

List ready-made moves

GET

/api/get_move

Get one move's program

GET

/api/list_looks

List art styles and body shapes

POST

/api/validate

Validate a cartoon, move, pack, or character

POST

/api/share_link

Make a jabbertoon.com link

GET

/api/get_guide

Read the cartoon-writing guide

GET

/api/list_characters

List characters and voices

GET

/api/list_moves

List ready-made moves

GET

/api/get_move

Get one move's program

GET

/api/list_looks

List art styles and body shapes

POST

/api/validate

Validate a cartoon, move, pack, or character

POST

/api/share_link

Make a jabbertoon.com link

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring Jabbertoon by hand means learning its paired GET and POST tool routes, its guide topics, and its error shape with RFC 6902 patches. Through Jentic you install once, import the Jabbertoon API from the API Directory, and your agent calls it with no credential to manage.

Permission scoping

Jabbertoon takes its arguments as query parameters or a JSON body rather than path ids, so rules bound which tools your agent may call, not which cartoon it works on. You choose the operations it may call, so the one tool that keeps what it is sent, report_problem, is not included unless you add it.

Credential isolation

The Jabbertoon API needs no key or account, so there is nothing to store. For any API you add that does use a key, your own Jentic One instance keeps it encrypted and injects it at execution time, out of the agent's prompt, logs, and context.

Intent-based discovery

Agents search Jentic by intent such as 'check a Jabbertoon cartoon' or 'find a cartoon move for waving', and Jentic returns the matching Jabbertoon operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

FAQs

Specific to using Jabbertoon tools for AI assistants and developers API through Jentic.

Is there a Jabbertoon MCP server?

Yes - per its OpenAPI spec, Jabbertoon offers an MCP server with the same tools. You can also connect the Jabbertoon API directly through Jentic: your agent gets the full 13-endpoint surface from the spec without loading another server's tool definitions into its context, and your rules decide which operations the agent may call.

Does the Jabbertoon API need authentication?

No. Per its OpenAPI spec, the Jabbertoon API needs no key and no account, and it declares no security schemes. GET answers the read tools whose arguments are plain values, and POST accepts a JSON object of arguments for any tool.

Does the Jabbertoon API render the cartoon video?

No. Making the video is done on your own computer by the jabbertoon tool (preview and render_video). The HTTP API covers the guide, characters, looks, moves, validation, and share links; POST /api/share_link opens the cartoon in the jabbertoon.com studio.

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

Yes. For example, write a rule that allows only the read tools and POST /api/validate, leaving out POST /api/report_problem. Your agent can then write and check cartoons but cannot file reports with the Jabbertoon team, and every call it makes is logged.

What are the rate limits for the Jabbertoon API?

The OpenAPI spec does not specify rate limits. The guide has a limits topic, readable with GET /api/get_guide, and https://jabbertoon.com/docs/language/ documents the block language.

How do I validate a cartoon through Jentic?

Search Jentic for 'check a Jabbertoon cartoon', load the validate operation, and call POST /api/validate with one of cartoon, program, pack, character, or file, adding repair true to get a patched program back. To run it on your own infrastructure, install Jentic One from its GitHub repo.

Is anything I send to Jabbertoon stored?

Per the spec, nothing sent to validate or share_link is stored or logged, and a share link carries everything after the # so nothing is uploaded. POST /api/report_problem is the exception: it saves the report for a person to read, so never put a cartoon, a name, or personal details in it.

Jabbertoon tools for AI assistants and developers

AI ReadinessAI-Aware (B)64/100

See full scorecard

Official vendor OpenAPI document · agent-readyMediaVideo Processingnone13 EndpointsREST

For Agents

Read Jabbertoon's cartoon-writing guide, look up characters, looks, and moves, validate and auto-repair a cartoon program, and turn it into a shareable jabbertoon.com studio link.

Use for: I want to write a short cartoon where a dog says hello to a cat, Read the Jabbertoon guide on how to write a cartoon, List all the characters and voices I can cast, Find a move that makes a character look scared

Not supported: Does not render video, host finished cartoons, or generate images from prompts. Use for writing, validating, and sharing Jabbertoon cartoon programs only.

The Jabbertoon API gives an assistant the tools to write talking cartoons in Jabbertoon's block language over plain HTTP, with no key and no account. It returns guide topics such as cartoon, text, moves, and limits as Markdown, lists the six ready-made characters with their voices, the six art styles and three body shapes, and the ready-made moves a character can do, and returns any one move's block program. A validate tool checks a cartoon, scene, move, pack, or character with the studio's own checks and can return a repaired program, and a share tool turns the result into a jabbertoon.com link that opens it in the studio or block editor. Rendering the video happens on your own computer with the jabbertoon tool, not through this API.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: D+Signals: 4

90%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

Specification Validity

Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).

Structural Integrity

Structural correctness score based on schema issues using logarithmic dampening.

Developer Experience & Jentic Compatibility

Clarity, completeness, and ingestion readiness for developers and tooling.

Grade: B+Signals: 4

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

75%

Response Coverage

Percentage of operations with complete response definitions (success, client error, server error).

100%

Tooling Readiness

Health of API ingestion, bundling, and resolution within Jentic pipelines.

AI-Readiness & Agent Experience

Semantic breadth, depth, and agent comprehension for AI systems.

Grade: C-Signals: 4

47%

Description Coverage

Coverage of descriptions across API elements.

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

92%

OperationId Quality

Coverage, uniqueness, and casing consistency of operationIds for AI inference.

64%

Summary Coverage

Coverage of summaries across operations/tags/info.

Agent Usability

Functional utility, complexity comfort, and AI orchestration readiness.

Grade: A+Signals: 1

94%

Complexity Comfort

Agent comfort level based on API operational and structural complexity.

100

Security

Trust, risk posture, and security compliance.

Grade: A+Signals: 1

100%

Authentication Strength

Average quality of security schemes based on authentication method strength (weakest link for OAuth2).

AI Discoverability

Findability, semantic richness, and reasoning readiness.

Grade: BSignals: 1

64%

Descriptive Richness

Clarity and depth of descriptions across API elements.

Connect the Jabbertoon tools for AI assistants and developers to your agent

Capabilities

Start building with Jabbertoon tools for AI assistants and developers API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

Jabbertoon tools for AI assistants and developers

Jentic AI Readiness Score

Jabbertoon tools for AI assistants and developers

Foundational Compliance

Lint Results

Resolution Completeness

Specification Validity

Structural Integrity

Developer Experience & Jentic Compatibility

Example Density

Example Validity

Response Coverage

Tooling Readiness

AI-Readiness & Agent Experience

Description Coverage

Error Standardization

OperationId Quality

Summary Coverage

Agent Usability

Complexity Comfort

Security

Authentication Strength

AI Discoverability

Descriptive Richness