Phonic
Phonic is a San Francisco voice AI company (founded 2024, seed-backed by Lux Capital) building the first end-to-end speech-to-speech platform for reliable conversational voice agents. The Phonic API lets developers create and configure voice agents, attach voices, place and receive inbound/outbound phone calls (including via SIP trunking and Amazon Connect), run real-time speech-to-speech conversations over a WebSocket, wire up webhook/WebSocket/context/transfer/MCP tools, and analyze, evaluate, and extract structured data from conversations. It ships an OpenAPI 3.1 REST spec, an AsyncAPI 2.6.0 WebSocket spec, official Node and Python SDKs, a hosted MCP server, and llms.txt docs for AI clients.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Phonic the way a machine reads it — 16 machine-readable artifacts across 10 APIs, 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 — Phonic scores 48.9/100 (developing), with a separate agent-readiness read of 78/100 (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.
How we profile Phonic
Each block below is one kind of artifact we hold for Phonic. 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 10
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.
Phonic agents API
The agents API from Phonic — 5 operation(s) for agents.
Phonic apiKeys API
The apiKeys API from Phonic — 3 operation(s) for apikeys.
Phonic auth API
The auth API from Phonic — 2 operation(s) for auth.
Phonic conversationItems API
The conversationItems API from Phonic — 1 operation(s) for conversationitems.
Phonic conversations API
The conversations API from Phonic — 9 operation(s) for conversations.
Phonic extractionSchemas API
The extractionSchemas API from Phonic — 2 operation(s) for extractionschemas.
Phonic projects API
The projects API from Phonic — 4 operation(s) for projects.
Phonic tools API
The tools API from Phonic — 2 operation(s) for tools.
Phonic voices API
The voices API from Phonic — 2 operation(s) for voices.
Phonic workspace API
The workspace API from Phonic — 1 operation(s) for workspace.
Scroll within the panel for all 10 ·
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.
phonic-mcp.yml
MCP SERVERRate 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.
Phonic Rate Limits
RATE LIMITSEvent Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
API Reference
ASYNCAPISecurity Posture 2
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.
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.
Resources
Every other property we hold for Phonic — 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.
Get Started 1
Portal, sign-up, and the first successful call
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
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