Archil
Archil is the cloud filesystem for AI. It turns an existing object-storage bucket (Amazon S3, Google Cloud Storage, Cloudflare R2, Azure Blob, MinIO, Wasabi, Backblaze B2, DigitalOcean Spaces) into an unlimited, POSIX-compatible local disk that thousands of machines can mount at once — live, in place, and faster than local disk. A single multi-tenant "disk" caches active data in a high-speed layer, supports copy-on-write branches and checkpoints for isolated agent and CI fan-out, and can run serverless bash and parallel grep directly against the data with no separate sandbox. Archil exposes a REST Control Plane API for managing disks, disk users, API tokens, and serverless execution, plus first-party TypeScript and Python SDKs, a `disk` CLI, a Linux `archil` mount CLI, a Kubernetes CSI driver, a Terraform provider, and an S3-compatible HTTP API. Founded 2024, backed by Felicis, Y Combinator, General Catalyst, Peak XV, and Standard Capital. Added to the API Evangelist network from the Felicis portfolio and enriched by the pipeline.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Archil the way a machine reads it — 9 machine-readable artifacts across 4 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 — Archil scores 60.3/100 (strong), with a separate agent-readiness read of 43/100 (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.
How we profile Archil
Each block below is one kind of artifact we hold for Archil. 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 4
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.
Archil API Tokens API
Manage API keys (also called API tokens) used to authenticate Control Plane API requests. Distinct from disk tokens.
Archil Disk Users API
Manage authorized users on disks
Archil Disks API
Create, read, update, and delete disks
Archil Serverless Execution API
Run commands on a disk without provisioning compute
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.
archil-mcp.yml
MCP SERVERSecurity Posture 4
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 Archil — 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
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/archil · machine-readable index on apis.io