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Ada

Ada (formerly Ada Support) is an AI customer service automation platform that resolves customer questions across chat, email, voice, and social channels using a generative AI agent grounded in a customer's knowledge sources. Ada exposes REST APIs for managing conversations, end users, knowledge sources and articles, integrations (Actions), data export, data compliance, and webhooks.

agent aware

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Ada the way a machine reads it — 15 machine-readable artifacts across 8 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 — Ada scores 43.0/100 (thin), with a separate agent-readiness read of 24/100 (agent aware). 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 — 43.0/100 · thin
Contract Quality 9.4 / 25
Developer Ergonomics 3.0 / 20
Commercial Clarity 13.7 / 20
Operational Transparency 6.8 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 24/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Ada

Each block below is one kind of artifact we hold for Ada. 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 8

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.

Ada REST API

The Ada REST API is the unified v2 interface to the Ada AI customer service platform. It covers knowledge sources and articles, end users, conversations, integrations (Actions),...

Ada Knowledge API

Manage knowledge sources, articles, and tags that Ada's AI Agent uses to ground answers to customer questions.

Ada Conversations API

Read and manage conversations handled by the Ada AI Agent across all supported channels.

Ada End Users API

Create, look up, and update end users (customers) along with their metadata for use by Ada's AI Agent and Actions.

Ada Integrations (Actions) API

Configure and invoke Actions, the integration layer that lets the Ada AI Agent call external systems and APIs during a conversation.

Ada Data Export API

Export conversation, message, and analytics data from Ada to data warehouses and BI tooling.

Ada Data Compliance API

Run data subject access requests, data deletion, and other compliance operations across the Ada platform.

Ada Webhooks API

Configure and consume webhooks that notify external systems of conversation lifecycle events and other platform activity.

Scroll within the panel for all 8 ·

GraphQL 1

Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.

GraphQL schemas published by this provider.

Ada CX GraphQL API

Ada CX is an AI agent platform for customer experience automation. The API covers AI agent configuration, conversation flows, knowledge sources, integrations, analytics, and voi...

GRAPHQL

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 six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Ada Cx Plans Pricing

1 plans

PLANS

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.

Ada Cx Rate Limits

2 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

Cost, billing, and metering signals for API financial operations.

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.

Ada Cx Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Ada Cx Vulnerability Disclosure

security.txt · contact published

SECURITY

Ada Cx Trust Center

SOC 2, HIPAA, GDPR

SECURITY

Resources

Every other property we hold for Ada — 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

Access & Security 3

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 1

Properties that don't map to a standard resource type

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