DeSci Labs
DeSci Labs builds decentralized-science infrastructure for open, verifiable, and AI-native scholarly communication. Its products include DeSci Publish (DeSci Nodes) — a preprint and open-access publishing platform with rapid peer review and versioned, PID-addressed research objects; SciWeave — an AI research-discovery engine over 300M+ scientific works that ships a hosted Model Context Protocol (MCP) server; the DeSci Referee Finder for editorial reviewer matching; and the open-source dPID Resolver, an HTTP API that bridges decentralized persistent identifiers (dPIDs) to IPFS content and the Ceramic network. Developers integrate via the @desci-labs/nodes-lib client library and the public dPID Resolver API. Backed by hv-capital.
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 DeSci Labs the way a machine reads it — 7 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 — DeSci Labs scores 47.6/100 (developing), with a separate agent-readiness read of 58/100 (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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile DeSci Labs
Each block below is one kind of artifact we hold for DeSci Labs. 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.
DeSci Labs Data API
**Data utilities** - IPFS-related utilities like folder tree listing by dPID or CID. Useful for directory browsing UIs and content explorers.
DeSci Labs Query API
**Research discovery and browse functionality** - Ideal for browse pages, search, and analytics. Paginated lists of research objects with optional metadata resolution, version h...
DeSci Labs Resolve API
**Individual research object resolution** - Perfect for detail pages, file access, and direct DPID links. Get complete research objects with full version history, specific files...
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.
desci-labs-mcp.yml
MCP SERVERSecurity 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 DeSci Labs — 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 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
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