EdgeDB
EdgeDB (rebranded as Gel in 2025) is an open-source object-relational database built on top of PostgreSQL that combines a modern graph-relational data model with a powerful query language called EdgeQL. It provides an HTTP-based EdgeQL query API and a GraphQL API, allowing developers to query their database over standard HTTP using bearer token authentication. EdgeDB Cloud offers a fully managed hosting service with free and paid tiers, integrating with platforms such as Vercel, Netlify, Fly.io, and Railway. Client libraries are available for TypeScript, Python, Go, Dart, Rust, .NET, and Java.
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 EdgeDB the way a machine reads it — 9 machine-readable artifacts across 3 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 — EdgeDB scores 31.4/100 (thin), with a separate agent-readiness read of 7/100 (human only). 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 EdgeDB
Each block below is one kind of artifact we hold for EdgeDB. 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 3
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.
EdgeDB EdgeQL HTTP API
Executes EdgeQL queries over HTTP against a Gel/EdgeDB instance. Supports GET and POST requests with query, variables, globals, and config fields. Authentication uses HTTP Basic...
EdgeDB GraphQL API
Provides a GraphQL endpoint for querying an EdgeDB/Gel instance, supporting queries, mutations, and introspection. Enabled via the graphql extension in the schema. Authenticatio...
EdgeDB Cloud Management
Managed cloud database service for provisioning and operating EdgeDB/Gel instances. Accessible via the Gel CLI, web dashboard at cloud.geldata.com, and platform integrations. Su...
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.
EdgeDB GraphQL API
EdgeDB (rebranded as Gel in 2025) exposes a GraphQL API that automatically reflects your database schema as a full CRUD API. Every object type, computed property, link, and alia...
GRAPHQLPricing 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.
Edgedb Plans Pricing
PLANSRate 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.
Edgedb Rate Limits
RATE LIMITSFinOps 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.
Edgedb Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Edgedb Context
JSON-LDSecurity Posture 1
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 EdgeDB — 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 1
Reference material describing how the API behaves
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 1
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 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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