Install Jentic One Beta

Connect the BeatAPI Developer API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the BeatAPI Developer 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%2Fbeatapi.io%2Fbeatapi" | 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%2Fbeatapi.io%2Fbeatapi" | 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 BeatAPI Developer API.

Generate text with chat completions or the Anthropic- and Gemini-compatible endpoints

Create image and video generation tasks and poll them to completion

Run Effects and multi-shot Music Video and Ecommerce Video workflows

Search, read, and map the web and research a question

Open short-lived Realtime Video sessions that return a client secret for the browser

GET STARTED

Start building with BeatAPI Developer API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use BeatAPI Developer API for, with concrete tasks.

★ AI Agent Media Generation

An AI agent produces images and video from prompts without a developer wiring separate generation services. Through Jentic the agent creates an image or video task on BeatAPI, polls it by its task_id, and reads the hosted output URL, while the bearer token stays on the developer's own machine.

Create an image generation task from a prompt, poll it by its task_id until complete, and return the hosted output URL

Asynchronous Task Workflow

Generation jobs take time, so BeatAPI returns a task the caller polls rather than blocking. An agent creates a task, polls the shared task endpoint by its task_id, and reads the result from the output once the job finishes, or subscribes to a webhook to be notified.

Create a video task, poll its status by task_id, and register a webhook to receive the completion event

Web Research

Agents often need current information before generating content. BeatAPI exposes web search, read, map, and research operations, so an agent can gather sources on a topic and feed them into a text completion in the same workflow.

Run a web search on a topic, read the top results, and summarize them with a chat completion

Key Endpoints

38 endpoints — the beatapi serves text, image, and video generation plus web search and realtime video behind one key.

METHOD

PATH

DESCRIPTION

POST

/v1/responses

Create a text response

POST

/v1/chat/completions

Create a text chat completion

POST

/v1/images/tasks

Create an image generation task

POST

/v1/videos/tasks

Create a video generation task

GET

/v1/tasks/{task_id}

Poll task status

POST

/v1/web/search

Search the web

GET

/v1/models

List available text models

POST

/v1/realtime/sessions

Create a realtime browser session

POST

/v1/responses

Create a text response

POST

/v1/chat/completions

Create a text chat completion

POST

/v1/images/tasks

Create an image generation task

POST

/v1/videos/tasks

Create a video generation task

GET

/v1/tasks/{task_id}

Poll task status

POST

/v1/web/search

Search the web

GET

/v1/models

List available text models

POST

/v1/realtime/sessions

Create a realtime browser session

Why Jentic?

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

Setup

Wiring BeatAPI by hand means choosing between its bearer and API-key auth, polling the shared task endpoint, and handling realtime session secrets yourself. Through Jentic you install once, import BeatAPI from the API Directory, store the key once, and your agent calls it.

Permission scoping

A single key reaches every BeatAPI operation, so a rule bounds the agent to the operations it needs, such as creating image tasks and polling results. You choose which operations it may call, so webhook deletion and closing other sessions are not included unless you add them.

Credential isolation

Your BeatAPI key 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 'generate an image' or 'search the web', and Jentic returns the matching BeatAPI operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

FAQs

Specific to using BeatAPI Developer API through Jentic.

Is there a BeatAPI MCP server?

You don't need an MCP server to give your agent the BeatAPI. Jentic connects it directly from the API Directory: import it, store your credential once, and your agent calls it. Operations are discovered on demand, so no extra tool definitions load into the agent's context.

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

Yes. Write a rule that allows only the generation and task-poll operations the agent needs, so it can create image or video tasks and read their output but cannot delete your webhooks, and every call is logged.

What authentication does the BeatAPI Developer API use?

The BeatAPI accepts a bearer token and also an API key in the `x-api-key` header, with Google-style key headers for its Gemini-compatible endpoint, as declared in its OpenAPI spec. Several endpoints, such as listing models and searching capabilities, are public and need no credential. Through Jentic your token or key is stored encrypted by your own Jentic One instance and injected at call time.

Can I generate images and video with the BeatAPI?

Yes. Create an image or video generation task, then poll the shared task endpoint by its task_id until the job finishes and read the hosted output URL from the result, or register a webhook to be notified.

How do I generate an image through Jentic?

Install Jentic One with `curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh`, then import the BeatAPI from the Jentic API Directory and store your token. Your agent searches for 'generate an image' and Jentic returns the image-task operation with its input schema. To run it on your own infrastructure, install Jentic One from its GitHub repo.

What are the rate limits for the BeatAPI Developer API?

The BeatAPI OpenAPI spec reports account usage and concurrency through a usage operation but does not publish fixed per-second rate limits. Check your account usage endpoint and plan for the concurrency ceiling that applies.

BeatAPI Developer API

AI ReadinessAI-Aware (B-)61/100

See full scorecard

Official vendor OpenAPI document · agent-readyAI/MLLanguage Modelsbearer, apiKey38 EndpointsREST

For Agents

Generate text, images, and video and search the web from one API: chat completions, image and video tasks you poll, Effects and video workflows, web research, and realtime video sessions.

Use for: Generate an image from a prompt, I want to create a video generation task, Create a chat completion with a text model, Poll a task until its output is ready

Not supported: Does not handle model training, payment processing, or long-term media storage. Use for generating text, images, and video and searching the web only.

The BeatAPI serves text, image, and video generation plus web search and realtime video behind one key. It creates text responses and chat completions through OpenAI-, Anthropic-, and Gemini-compatible endpoints, and runs image, video, Effects, and multi-shot video workflows as asynchronous tasks the caller polls. Web search, read, map, and research operations return hosted results, and short-lived Realtime Video sessions hand a client secret to the browser.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: C-Signals: 4

91%

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).

14%

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.

99%

Example Validity

Percentage of examples that conform to their schemas.

68%

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: CSignals: 4

55%

Description Coverage

Coverage of descriptions across API elements.

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

100%

OperationId Quality

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

65%

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.

Security

Trust, risk posture, and security compliance.

Grade: DSignals: 1

44%

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: B+Signals: 1

67%

Descriptive Richness

Clarity and depth of descriptions across API elements.

Connect the BeatAPI Developer API to your agent

Capabilities

Start building with BeatAPI Developer API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

BeatAPI Developer API

Jentic AI Readiness Score

BeatAPI Developer API

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