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Quo

Quo (formerly OpenPhone) is an AI-powered business communication platform that unifies calls, texts, and contacts in one shared workspace for startups and small businesses. Its REST Public API (https://api.quo.com/v1) lets developers send and receive SMS, manage contacts, conversations, and tasks, retrieve AI-generated call summaries and transcripts, and subscribe to Standard-Webhooks-signed events for messages and calls. Authentication is via a workspace API key sent in the Authorization header. This profile was added to the API Evangelist network from VC portfolio discovery and enriched from Quo's live developer documentation and published OpenAPI.

agent ready

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.

Kin Score

API Evangelist profiles Quo the way a machine reads it — 14 machine-readable artifacts across 9 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 — Quo scores 51.6/100 (developing), with a separate agent-readiness read of 49/100 (agent ready). 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.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 51.6/100 · developing
Contract Quality 17.1 / 25
Developer Ergonomics 13.0 / 20
Commercial Clarity 7.4 / 20
Operational Transparency 4.1 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 49/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 6 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Quo

Each block below is one kind of artifact we hold for Quo. 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 9

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.

Quo Calls API

Operations related to calls

Quo Contact Custom Fields API

The Contact Custom Fields API from Quo — 1 operation(s) for contact custom fields.

Quo Contacts API

Operations related to contacts

Quo Conversations API

Operations related to conversations

Quo Messages API

Operations related to text messages

Quo Phone Numbers API

Operations related to phone numbers

Quo Tasks API

The Tasks API from Quo — 10 operation(s) for tasks.

Quo Users API

Operations related to users

Quo Webhooks API

Operations related to webhooks

Scroll within the panel for all 9 ·

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.

quo-mcp.yml

MCP SERVER

Event 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.

Quo Webhooks

ASYNCAPI

Security Posture 3

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.

Quo Authentication

apiKey · 1 scheme

SECURITY

Quo Domain Security

TLSv1.3 · DMARC

SECURITY

Quo Trust Center

SOC 2, HIPAA, GDPR

SECURITY

Resources

Every other property we hold for Quo — 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 2

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Operate 3

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

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