How AI is applied across API Evangelist and APIs.io. Read my AI disclosure →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC

audiopod-ai

AudioPod AI is an AI audio workstation for creating, editing, and publishing podcasts and audiobooks. It offers a unified studio‑grade platform that combines text‑to‑speech, voice cloning, music generation, transcription, denoising, source separation, and more under a single login, priced like software rather than a recording studio. Built to address fragmented, overpriced, and unconsented AI audio production, AudioPod provides creators with a consent‑first, studio‑grade output, all accessible via a comprehensive REST API.

agent native

Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.

Kin Score

API Evangelist profiles audiopod-ai the way a machine reads it — 42 machine-readable artifacts across 1 API, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — audiopod-ai scores 69.1/100 (exemplar), with a separate agent-readiness read of 60/100 (agent native). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.

Kin Score Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0
Composite quality — 69.1/100 · exemplar
Contract Quality 14.7 / 25
Access Clarity 18.4 / 20
Discoverability 6.7 / 10
Agent readiness — 60/100 · agent native
Agentic Access Contract derived 2.5 / 10
MCP Server documented 4.8 / 12
Machine-Readable Auth served 9.0 / 10
Idempotency 9.0 / 9
Stable Error Semantics documented 4.0 / 8
Agent Skills unknown 4.5 / 5
A2A Agent Card near-conformant 4.8 / 8
Protected Resource Metadata documented 2.5 / 5
Pagination partial 2.5 / 5
audiopod-ai Kin Score — API readiness rating by API Evangelist

Put this on your own site. The badge is drawn live from audiopod-ai's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.

<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/audiopod-ai/"
   title="audiopod-ai on API Evangelist — API profile and Kin Score">
  <img src="https://apis.io/badge/audiopod-ai.svg"
       alt="audiopod-ai Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>

More shapes, themes and sizes → · Score as JSON · How badges work

How we profile audiopod-ai

Each block below is one kind of artifact we hold for audiopod-ai. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 24

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

audiopod-ai API Wallet API

The api-wallet API from audiopod-ai — 11 operation(s) for api-wallet.

audiopod-ai Audio Agent API

The Audio Agent API from audiopod-ai — 17 operation(s) for audio agent.

audiopod-ai Audiobook API

The audiobook API from audiopod-ai — 105 operation(s) for audiobook.

audiopod-ai Auth API

Authentication and user management

audiopod-ai Credits API

Credits and billing

audiopod-ai Denoiser API

Audio noise reduction

audiopod-ai Downloads API

The downloads API from audiopod-ai — 2 operation(s) for downloads.

audiopod-ai File Downloads API

The File Downloads API from audiopod-ai — 2 operation(s) for file downloads.

audiopod-ai MCP API

The MCP API from audiopod-ai — 2 operation(s) for mcp.

audiopod-ai Media Converter API

The Media Converter API from audiopod-ai — 11 operation(s) for media converter.

audiopod-ai Media Extraction API

Pull audio and video in from a source URL: read its metadata, queue a download, and track the job.

audiopod-ai Midi API

The midi API from audiopod-ai — 5 operation(s) for midi.

audiopod-ai Music API

AI music generation and editing

audiopod-ai Openai Compat API

The openai-compat API from audiopod-ai — 3 operation(s) for openai-compat.

audiopod-ai Open AI Compatible API

The OpenAI-Compatible API from audiopod-ai — 3 operation(s) for openai-compatible.

audiopod-ai Podcast API

The podcast API from audiopod-ai — 22 operation(s) for podcast.

audiopod-ai Reader API

The reader API from audiopod-ai — 5 operation(s) for reader.

audiopod-ai Sandbox API

The sandbox API from audiopod-ai — 2 operation(s) for sandbox.

audiopod-ai Speaker API

Speaker analysis and extraction

audiopod-ai Stem Extraction API

Music stem separation

audiopod-ai Transcription API

Speech-to-text conversion

audiopod-ai Voice API

Voice cloning and synthesis

audiopod-ai Voice Design API

The voice-design API from audiopod-ai — 2 operation(s) for voice-design.

audiopod-ai Webhooks API

The webhooks API from audiopod-ai — 5 operation(s) for webhooks.

Scroll within the panel for all 24 ·

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

audiopod-ai MCP Server

Remote MCP server at docs.audiopod.ai.

MCP SERVER

Agent Skills 1

An agent skill packages the how-to for driving these APIs from an assistant — the prompts, the sequence, the guardrails — so the knowledge to use the API travels with it.

Packaged agent skills for driving this provider's APIs from an AI assistant.

list-api-keys

AGENT SKILL

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.

Published pricing tiers and plan structures.

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Audiopod Ai Rate Limits

0 limits

RATE LIMITS

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Audiopod Ai Context

120 classes · 404 properties

JSON-LD

Spectral Rules 1

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

audiopod-ai API Rules

18 rules · 13 errors · 4 warnings

SPECTRAL

JSON Schema 6

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

CoverRequest

44 properties

JSON SCHEMA

EditRequest

48 properties

JSON SCHEMA

ExtendRequest

47 properties

JSON SCHEMA

ReferenceAudioRequest

44 properties

JSON SCHEMA

RepaintRequest

47 properties

JSON SCHEMA

Text2MusicRequest

46 properties

JSON SCHEMA

Security Posture 4

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Audiopod Ai Authentication

2 schemes

SECURITY

Audiopod Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Audiopod Ai Vulnerability Disclosure

security.txt · contact published

SECURITY

Audiopod Ai Trust Center

SOC 2, GDPR

SECURITY

Scopes 1

OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.

OAuth scopes governing access to this provider's APIs.

Audiopod Ai Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

Recommended x-agentic-access execution contracts for AI agents.

Audiopod Ai Agentic Access

502 operations · 279 acting · 6 human-in-the-loop

502 operations · 279 acting

AGENTIC

Resources

Every other property we hold for audiopod-ai — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Documentation 2

Reference material describing how the API behaves

Design & Contract 7

Pagination, idempotency, versioning, errors, and events

Scroll within the panel for all 7 ·

Operate 3

Status, limits, changes, and where to get help

Company 3

The organization behind the API

Other 3

Properties that don't map to a standard resource type

← All providers · Data indexed from github.com/api-evangelist/audiopod-ai · machine-readable index on apis.io

Where this information came from

This is an independent, third-party profile of audiopod-ai, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.