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Kurrent

Kurrent — formerly Event Store Ltd — builds KurrentDB, an event-native database purpose-built to store, process and deliver application state changes as an immutable, append-only log of events. Where a traditional CRUD database overwrites rows and discards the history that produced them, KurrentDB retains every state change as a first-class event, giving applications a complete audit trail, temporal queries and the ability to replay history to rebuild state or seed new read models. The product line spans KurrentDB (open-source and commercial, self-hosted), Kurrent Cloud (managed clusters on AWS, Azure and Google Cloud), Kurrent Enterprise, and Capacitor, a shared memory layer for agentic coding. Developers integrate over a primary gRPC protocol with official client SDKs for .NET, Java, Node.js, Python, Go and Rust, or over the native AtomPub-style HTTP API. Connectors move events in and out of Kafka, MongoDB, Elasticsearch, RabbitMQ, Pulsar, SQL and HTTP endpoints. KurrentDB is widely used for event sourcing, CQRS, event-driven microservices, change data capture and, increasingly, as durable memory for AI agents.

agent native

Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.

Kin Score

API Evangelist profiles Kurrent the way a machine reads it — 15 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 — Kurrent scores 61.1/100 (strong), with a separate agent-readiness read of 69/100 (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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 61.1/100 · strong
Contract Quality 16.4 / 25
Developer Ergonomics 17.4 / 20
Commercial Clarity 10.5 / 20
Operational Transparency 6.8 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Agent readiness — 69/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 9 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 6 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3

How we profile Kurrent

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

KurrentDB gRPC API

The primary protocol for KurrentDB. The published protocol buffer definitions cover the v2 streams service (multi-stream appends, reads), the schema registry service, the second...

Kurrent Admin API

Node administration operations

Kurrent Gossip API

Cluster gossip

Kurrent Info API

Node information and configuration

Kurrent Projections API

Create, manage and query projections

Kurrent Statistics API

Node statistics

Kurrent Streams API

Append to, read from and manage event streams

Kurrent Subscriptions API

Persistent (competing consumer) subscription management and consumption

Kurrent Users API

User account management

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.

kurrent-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.

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.

Kurrent Authentication

http/mutualTLS/openIdConnect · 3 schemes

SECURITY

Kurrent Domain Security

TLSv1.3 · DMARC

SECURITY

Kurrent Trust Center

trust center published

SECURITY

Scopes 1

OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.

OAuth scopes governing access to this provider's APIs.

Kurrent Scopes

14 scopes · authorizationCode/clientCredentials/deviceCode

14 scopes

SCOPES

Resources

Every other property we hold for Kurrent — 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 3

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Build 4

SDKs, sample code, and the tooling you integrate with

Learn 2

Tutorials, courses, talks, and written guidance

Commercial 3

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 2

Properties that don't map to a standard resource type

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