konfetti
konfetti (Konfetti GmbH, Berlin) operates a marketplace for bookable experiences — cooking classes, pottery and ceramics workshops, cocktail courses, tastings, boat tours, creative and craft workshops, DIY kits and team events — across Germany and Austria, with more than 7,600 bookable experience listings and coverage in Berlin, Munich, Cologne, Hamburg, Frankfurt, Stuttgart, Dusseldorf, Leipzig, Dresden, Hannover, Nuremberg, Muenster, Heidelberg and Vienna. Alongside the consumer storefront, konfetti sells an all-in-one booking-management product to its partner hosts: a back-office at backoffice.gokonfetti.com for managing experiences, dates, tickets, gift cards, invoicing and payouts, plus an embeddable booking solution and a set of embeddable widgets that partners place on their own websites and social channels. konfetti is backed by Speedinvest. It publishes no public developer portal or API reference; the JSON API behind the storefront at api.gokonfetti.com is documented here observationally by API Evangelist.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles konfetti the way a machine reads it — 7 machine-readable artifacts across 5 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 — konfetti scores 36.7/100 (thin), with a separate agent-readiness read of 21/100 (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
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile konfetti
Each block below is one kind of artifact we hold for konfetti. 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 5
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.
konfetti account API
Authenticated customer profile and registration.
konfetti auth API
OAuth 2.0 token issuance.
konfetti catalog API
Public read access to experiences and categories.
konfetti checkout API
Cart validation, coupons and orders.
konfetti requests API
Lead-capture endpoints for date and private-event requests.
Security 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 konfetti — 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
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 8
The organization behind the API
Scroll within the panel for all 8 ·
Other 4
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/konfetti · machine-readable index on apis.io