Install Jentic One Beta

Connect the AudioPod AI API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the AudioPod AI 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%2Faudiopod.ai%2Faudiopod" | 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%2Faudiopod.ai%2Faudiopod" | 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 AudioPod AI API.

Generate speech from text and stream it, with per-voice settings

Clone a voice from samples and convert one voice to another

Transcribe audio to text, then summarize or edit the transcript

Separate speakers, extract stems, and denoise audio

Generate music, instrumentals, and covers from a prompt or lyrics

GET STARTED

Start building with AudioPod AI API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use AudioPod AI API for, with concrete tasks.

★ Agent Voiceover and Narration

An AI agent connected through Jentic turns a script into spoken audio with a chosen or cloned voice, streaming or polling the job until it is ready. Because voice settings and streaming are first-class, the agent can produce narration for a video or notification without a human in the editing loop.

Generate speech for this paragraph with a chosen voice and return the audio once the job finishes

Transcription and Summary Pipeline

A workflow submits a recording for transcription, waits for the job, then summarizes and edits the resulting transcript, so an agent can turn a meeting or interview into text and a short summary. The edit and summarize steps keep the output usable without a separate tool.

Transcribe this recording, then return a short summary of the transcript

Music and Stem Workflows

A creator generates a music track from a text prompt or separates an existing song into stems, running each as a job with status polling. The stem extraction and music generation endpoints let an agent build or deconstruct audio on demand.

Generate a 30-second instrumental from a prompt, then separate it into stems

Key Endpoints

477 endpoints — the audiopod ai api generates and processes audio: it synthesizes speech, clones and converts voices, generates music and instrumentals, transcribes and summarizes recordings, and separates speakers and stems.

METHOD

PATH

DESCRIPTION

POST

/api/v1/voice/voices/{voice_identifier}/generate

Generate voice audio

POST

/api/v1/voice/voice-clone

Create a voice cloning job

POST

/api/v1/transcription/transcribe

Create a transcription job

POST

/api/v1/music/text2music

Generate music from text

POST

/api/v1/speaker/separate

Separate voices from audio

POST

/api/v1/audio/speech

Create speech

POST

/api/v1/voice/voices/{voice_identifier}/generate

Generate voice audio

POST

/api/v1/voice/voice-clone

Create a voice cloning job

POST

/api/v1/transcription/transcribe

Create a transcription job

POST

/api/v1/music/text2music

Generate music from text

POST

/api/v1/speaker/separate

Separate voices from audio

POST

/api/v1/audio/speech

Create speech

Why Jentic?

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

Setup

Wiring the AudioPod AI API by hand means choosing between an X-API-Key header and an OAuth2 bearer token, submitting long-running jobs and polling each for status, and metering spend against a credit wallet. Through Jentic you install once, import AudioPod from the API Directory, store the key once, and your agent calls it.

Permission scoping

You choose which operations your agent may call, so you can allow speech generation and transcription while leaving voice deletion, wallet top-ups, and billing out. AudioPod puts job ids in the URL path, so a rule can also bound the agent to the jobs it creates and reads back, and every call it makes is logged.

Credential isolation

Your AudioPod 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 speech from text' or 'transcribe an audio file', and Jentic returns the matching AudioPod operation with its input schema so the agent calls the right endpoint without reading the reference docs.

FAQs

Specific to using AudioPod AI API through Jentic.

Is there an AudioPod MCP server?

You don't need an MCP server to give your agent the AudioPod AI API. Jentic connects it directly from the API Directory: import it, store your key once, and your agent can generate speech, transcribe audio, or run music jobs straight away, with no extra server to run and no tool definitions to load into the agent's context.

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

Yes. Write a rule that allows only the generation and transcription operations the agent needs, such as text-to-speech and speech-to-text, and leaves voice deletion, billing, and wallet top-ups out, and every call it makes is logged. Because job ids are in the URL path, you can also bound the agent to reading back the jobs it created.

What authentication does the AudioPod AI API use?

The AudioPod AI API authenticates with an API key in an X-API-Key header, recommended for server and agent use, or an OAuth2 password bearer token (a JWT) for session access, per its OpenAPI spec. A few endpoints are public. Through Jentic the key is stored encrypted by your own instance and added at call time, so it never appears in the agent's prompt or logs.

Can I clone a voice with the AudioPod AI API?

Yes. You submit audio samples to create a cloning job, poll it for status, and then generate speech with the cloned voice, with a conversion endpoint to turn one voice into another. Reporting and retry operations let an agent recover a failed job rather than starting over.

What are the rate limits for the AudioPod AI API?

The API describes published rate limits but the version indexed here does not state specific numbers in the spec. For current limits and plan quotas, see the AudioPod documentation at https://audiopod.ai.

How do I generate speech with the AudioPod AI API through Jentic?

Import the AudioPod AI API from the Jentic API Directory, then have your agent issue a request such as 'generate speech for this text with a chosen voice'. Jentic matches the intent to the voice-generation operation and returns its input schema so the agent builds the correct request, with your stored key injected at call time. To run it on your own infrastructure, install Jentic One from its GitHub repo.

AudioPod AI API

AI ReadinessFoundational (C+)58/100

See full scorecard

Official vendor OpenAPI document · agent-readyAI/MLSpeechapiKey, OAuth2, bearer477 EndpointsREST

For Agents

Generate speech, clone and convert voices, transcribe audio, generate music, and separate speakers and stems. Authenticates with an X-API-Key header (recommended for agents) or an OAuth2 bearer token.

Use for: Generate speech from this text, Clone a voice from audio samples, Transcribe an audio file to text, Separate the vocals from a song

Not supported: Does not run a public media player, handle music royalties, or replace your audio editing software. Use for generating, transcribing, and processing audio only.

The AudioPod AI API generates and processes audio: it synthesizes speech, clones and converts voices, generates music and instrumentals, transcribes and summarizes recordings, and separates speakers and stems. Jobs run asynchronously with status polling, and higher-level project workflows assemble multi-chapter audiobooks and multi-speaker podcasts from a manuscript or sources. It also converts media formats, downloads source audio, and meters usage through a credit wallet.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: B-Signals: 4

89%

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).

60%

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.

94%

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: A-Signals: 4

46%

Description Coverage

Coverage of descriptions across API elements.

99%

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

96%

OperationId Quality

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

53%

Summary Coverage

Coverage of summaries across operations/tags/info.

Agent Usability

Functional utility, complexity comfort, and AI orchestration readiness.

Grade: D-Signals: 1

43%

Complexity Comfort

Agent comfort level based on API operational and structural complexity.

Security

Trust, risk posture, and security compliance.

Grade: DSignals: 1

46%

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

66%

Descriptive Richness

Clarity and depth of descriptions across API elements.

Connect the AudioPod AI API to your agent

Capabilities

Start building with AudioPod AI API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

AudioPod AI API

Jentic AI Readiness Score

AudioPod AI 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