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Seqera Labs

Seqera (Seqera Labs) builds open, cloud-based software for scientific data analysis at scale. It is the company behind Nextflow, the widely adopted open-source workflow orchestration engine, and the Seqera Platform (formerly Nextflow Tower) for launching, monitoring, and governing data pipelines across cloud and HPC compute. Its product family also includes Wave (on-demand container provisioning), Fusion (a distributed file system for cloud pipelines), Data Studios (interactive analysis environments), and MultiQC. The Seqera Platform exposes a REST API (OpenAPI 3.0.1, 250 operations) plus a CLI (tw) and Python automation (seqerakit), and implements the GA4GH Workflow Execution Service (WES) standard.

agent ready

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.

Kin Score

API Evangelist profiles Seqera Labs the way a machine reads it — 33 machine-readable artifacts across 28 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 — Seqera Labs scores 59.7/100 (developing), with a separate agent-readiness read of 50/100 (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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 59.7/100 · developing
Contract Quality 12.7 / 25
Developer Ergonomics 16.1 / 20
Commercial Clarity 10.5 / 20
Operational Transparency 7.2 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Regulatory · Health 11.7 / 15
Agent readiness — 50/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 3 / 3

How we profile Seqera Labs

Each block below is one kind of artifact we hold for Seqera 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 28

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.

Seqera Labs actions API

Pipeline actions

Seqera Labs admin API

The admin API from Seqera Labs — 3 operation(s) for admin.

Seqera Labs agents API

The agents API from Seqera Labs — 4 operation(s) for agents.

Seqera Labs compute-envs API

Compute environments

Seqera Labs data-links API

Cloud storage directory paths in Data Explorer

Seqera Labs datasets API

Pipeline input datasets (samplesheets) in CSV or TSV format

Seqera Labs ga4gh API

GA4GH workflow execution service runs

Seqera Labs identities API

The identities API from Seqera Labs — 4 operation(s) for identities.

Seqera Labs labels API

Labels and resource labels

Seqera Labs launch API

Workflow launch events

Seqera Labs orgs API

Organizations

Seqera Labs pipeline-schemas API

The pipeline-schemas API from Seqera Labs — 1 operation(s) for pipeline-schemas.

Seqera Labs pipeline-secrets API

Pipeline secrets in a user or workspace context

Seqera Labs pipeline-versions API

The pipeline-versions API from Seqera Labs — 4 operation(s) for pipeline-versions.

Seqera Labs platforms API

Computing platforms

Seqera Labs roles API

The roles API from Seqera Labs — 4 operation(s) for roles.

Seqera Labs service-info API

Seqera Platform API service information

Seqera Labs ssh-keys API

The ssh-keys API from Seqera Labs — 4 operation(s) for ssh-keys.

Seqera Labs studios API

Studios and Studio sessions

Seqera Labs teams API

Teams in an organization context

Seqera Labs tokens API

API access tokens

Seqera Labs trace API

Workflow execution traces

Seqera Labs workflows API

Workflow executions

Seqera Labs workspaces API

Workspaces in an organization context

Scroll within the panel for all 28 ·

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.

Security 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.

Seqera Labs Authentication

http · 1 scheme

SECURITY

Seqera Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Seqera Labs Trust Center

status, note

SECURITY

Resources

Every other property we hold for Seqera 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 3

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 4

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Commercial 3

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

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