miso.ai
Miso (Miso Technologies, askmiso.com) is an AI personalization, search, and answers platform for publishers, media companies, and retailers. Miso trains machine-learning "Engines" on three data sets a site already has — its log of historical and real-time user interactions, its catalog of products/content, and its users — and exposes the output as REST APIs for personalized semantic search, typo-tolerant autocomplete, product and user recommendations, and an LLM-grounded Q&A / "Answers" experience that answers questions using only the customer's own content (reducing hallucination). The platform ships JavaScript (client + server), Python, and PHP SDKs, a WordPress plugin, embeddable Ask / Explore / Hybrid Search web modules, and the Dojo console for training engines and managing API keys and environments.
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 miso.ai the way a machine reads it — 13 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 — miso.ai scores 49.2/100 (developing), with a separate agent-readiness read of 51/100 (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
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile miso.ai
Each block below is one kind of artifact we hold for miso.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 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.
miso.ai Ask APIs API
Miso's new Ask API is the next generation of question answering APIs. It is designed to provide accurate and concise answers to your questions based on your existing product doc...
miso.ai Bulk API API
The Bulk API provides an efficient interface for making multiple Search / Recommendations / Q&A requests in one API call. These requests will be executed concurrently at the Mis...
miso.ai Experiment APIs API
Miso's experiment APIs let you do the A/B testing of your current result with Miso. ### Start an experiment in Dojo. Login to the [dojo](https://dojo.askmiso.com) platform. Crea...
miso.ai Interaction APIs API
Miso’s Interaction APIs let you manage your Interaction records stored with Miso. ### Interaction records Your Interaction records tell Miso about user interactions with product...
miso.ai Product / Content APIs API
Miso's Product / Content APIs let you upload, read, and delete Product / Content records that represent your site's catalog. ### Product / Content records Miso analyzes your Pro...
miso.ai Product Recommendations API
APIs for recommending related products based on a given product.
miso.ai Q&A APIs API
The Q&A APIs API from miso.ai — 3 operation(s) for q&a apis.
miso.ai Search APIs API
The Search APIs API from miso.ai — 3 operation(s) for search apis.
miso.ai User APIs API
Miso’s User APIs let you upload, read, and delete User records that tell Miso about your site’s unique users and visitors. ### User records User records specify relatively stati...
miso.ai User Recommendations API
APIs for recommending products and content to users based on their interests.
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.
misoai-mcp.yml
MCP SERVERSecurity 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.
Resources
Every other property we hold for miso.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.
Get Started 6
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 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 1
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/misoai · machine-readable index on apis.io