fauna
Fauna is a distributed document-relational database delivered as a cloud API that combines the relational query power of SQL with the flexibility of documents and global serverless distribution.
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 fauna the way a machine reads it — 44 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 — fauna scores 45.6/100 (developing), with a separate agent-readiness read of 54/100 (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.
How we profile fauna
Each block below is one kind of artifact we hold for fauna. 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.
Fauna Event Streaming API
The Fauna Event Streaming API enables real-time change data capture by maintaining an open connection to the Fauna database and pushing events to clients as they occur. Develope...
Fauna Event Feeds API
The Fauna Event Feeds API provides a polling-based approach to change data capture, complementing the real-time Event Streaming API. Event feeds allow developers to retrieve bat...
Fauna GraphQL API
The Fauna GraphQL API allows developers to interact with their Fauna databases using standard GraphQL queries and mutations. By uploading a GraphQL schema, Fauna automatically g...
Fauna JavaScript Driver
The Fauna JavaScript Driver is the official client SDK for interacting with Fauna from JavaScript and TypeScript applications. It provides template-based FQL query interpolation...
Fauna Python Driver
The Fauna Python Driver is the official client SDK for accessing Fauna from Python applications. It provides idiomatic Python interfaces for composing and executing FQL v10 quer...
Fauna .NET Driver
The Fauna .NET Driver is the official client SDK for interacting with Fauna from C# and .NET applications. It is designed for use with FQL v10 and provides strongly-typed query ...
fauna EventFeeds API
Poll-based change data capture using event feeds. Retrieve batches of change events at your own pace for scheduled synchronization and batch processing workflows.
fauna Query API
Execute Fauna Query Language (FQL) queries against a Fauna database.
fauna Schema API
Fetch, update, validate, and manage a database's schema as FSL files. Supports staged schema changes with status checking, committing, and abandoning.
Scroll within the panel for all 9 ·
Open Collections 2
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Fauna Core HTTP API
OPEN COLLECTIONFauna GraphQL API
OPEN COLLECTIONGraphQL 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.
fauna GraphQL API
The Fauna GraphQL API allows developers to interact with their Fauna databases using standard GraphQL queries and mutations. By uploading a GraphQL schema, Fauna automatically g...
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.
Fauna 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.
Fauna 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.
Fauna Finops
FINOPSEvent 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.
Fauna Event Streaming
The Fauna Event Streaming API enables real-time change data capture by maintaining an open connection to the Fauna database and pushing events to clients as they occur. Develope...
ASYNCAPISemantic 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.
Fauna Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
fauna API Rules
SPECTRALfauna API Rules
SPECTRALJSON Schema 21
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
Fauna Document
JSON SCHEMAErrorResponse
JSON SCHEMAFauna Event
JSON SCHEMAEventFeedRequest
JSON SCHEMAEventFeedResponse
JSON SCHEMAEventStats
JSON SCHEMAGraphQLError
JSON SCHEMAGraphQLErrorResponse
JSON SCHEMAGraphQLRequest
JSON SCHEMAGraphQLResponse
JSON SCHEMAFauna Query
JSON SCHEMAQueryRequest
JSON SCHEMAQueryResponse
JSON SCHEMAQueryStats
JSON SCHEMASchemaAbandonResponse
JSON SCHEMASchemaCommitResponse
JSON SCHEMASchemaFile
JSON SCHEMASchemaFilesResponse
JSON SCHEMASchemaStatusResponse
JSON SCHEMASchemaUpdateResponse
JSON SCHEMASchemaValidationResponse
JSON SCHEMAScroll within the panel for all 21 ·
JSON Structure 1
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Fauna Structure
JSON STRUCTURESecurity 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 fauna — 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 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Access & Security 2
Authentication, authorization, and security posture
Company 1
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/fauna · machine-readable index on apis.io