Delphi
Delphi is an AI platform for building "Digital Minds" — hyper-realistic AI clones trained exclusively on a person's own content (podcasts, videos, blogs, long-form writing, live feeds) that match how they speak, write, and think. Audiences can call, text, or video-chat a clone 24/7 for Q&A, coaching, mentorship, and engagement, with omnichannel reach across websites, SMS, Telegram, Slack, and learning platforms like Kajabi and Thinkific. Delphi's v3 REST API (Immortal plan) lets developers embed a Digital Mind directly in their own app: create conversations, stream text and voice responses, manage the audience and its contextual memory, organize contacts with tags, search the clone's knowledge base for RAG, track per-user usage, and receive events via signed webhooks. Delphi is backed by Menlo Ventures.
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 Delphi the way a machine reads it — 13 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 — Delphi scores 56.6/100 (developing), with a separate agent-readiness read of 71/100 (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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Delphi
Each block below is one kind of artifact we hold for Delphi. 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.
Delphi Audience API
Store and manage contextual information about users in your audience.
Delphi Clone API
Retrieve your clone's public profile information.
Delphi Conversations API
Create conversations, stream responses, view history, and manage conversation lifecycle.
Delphi Questions API
Retrieve suggested questions configured for your clone.
Delphi Search API
Search your clone's digital mind for relevant chunks or content.
Delphi Tags API
Create tags and organize your audience.
Delphi Usage API
Track consumption metrics and access tiers for your users.
Delphi Voice API
Stream voice responses and synthesize speech as real-time PCM audio.
Scroll within the panel for all 8 ·
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.
delphi-mcp.yml
MCP SERVEREvent 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.
Delphi Webhooks
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 Delphi — 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 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 7
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 7 ·
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
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 2
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/delphi · machine-readable index on apis.io