Flower

Flower Labs builds infrastructure for collaborative, decentralized AI. Its flagship open-source project, Flower (the `flwr` framework), is a friendly, framework-agnostic federated AI framework that lets organizations train and fine-tune machine-learning models on distributed, privacy-sensitive data without moving it across organizational boundaries — with support for PyTorch, TensorFlow, Hugging Face, scikit-learn, JAX, XGBoost, and more. Flower Intelligence extends this to on-device inference (TypeScript/JavaScript, Kotlin, and Swift SDKs) that can hand off to a confidential remote-compute service when extra capacity is needed. Flower also runs SuperGrid (federated AI networks), Flower Hub, and a hosted control plane accessed via the flwr CLI. Flower Labs is backed by Felicis, Northzone, and Y Combinator.

Flower is profiled on the APIs.io network. Tagged areas include Company, Federated Learning, Federated AI, Machine Learning, and Artificial Intelligence.

Flower’s developer surface includes pricing, documentation, API reference, getting-started guide, engineering blog, support, signup flow, and 15 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

40.7/100 developing ▬ flat Agent 3/100 human only Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs

Company Federated LearningFederated AIMachine Learning Artificial Intelligence Privacy SDK On-Device AI Confidential Computing Open Source

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 40.7/100 · developing

Contract Quality 0.0 / 21

Developer Ergonomics 12.1 / 17

Access Clarity 14.8 / 17

Operational Transparency 2.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 3.4 / 15

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Contract Governance scores 0.0 — up to +12.0 composite points
Operational Transparency scores 18.4 — up to +10.6 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/flower/apis.yml: open an issue on github.com/api-evangelist/flower to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Flower API pricing

Prices published by Flower, read 2026-10-07 from flower.ai/pricing.

Plan	Price
SuperGrid Pro (placeholder)	$17/ month , billed yearly Includes: 8,000 monthly credits
SuperGrid Pro (Most Popular)	$42/ month , billed yearly Includes: 20,000 monthly credits (scales up to 20,000,000 monthly credits)
SuperGrid Pro (placeholder)	$167/ month , billed yearly Includes: 80,000 monthly credits
SuperGrid Max	Contact Sales Includes: Custom monthly credits
Flower Account Sign-Up	Sign up for free Includes: 3,000 sign-up credits

Plan details, limits and sources →

Billed by: credits · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Flower Plans Pricing

5 plans

PLANS

Flower Price Estimates

0 plans

PLANS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Flower Finops

FINOPS

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Flower Authentication

apiKey · 2 schemes

SECURITY

Flower Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Flower Trust Center

trust center published

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 3

Authentication, authorization, and security posture

TrustCenter

TrustCenter

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

Support

Support

Community

Community

ChangeLog

ChangeLog

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

Plans

PrivacyPolicy

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: flower
name: Flower
description: Flower Labs builds infrastructure for collaborative, decentralized AI. Its flagship open-source project, Flower
  (the `flwr` framework), is a friendly, framework-agnostic federated AI framework that lets organizations train and fine-tune
  machine-learning models on distributed, privacy-sensitive data without moving it across organizational boundaries — with
  support for PyTorch, TensorFlow, Hugging Face, scikit-learn, JAX, XGBoost, and more. Flower Intelligence extends this to
  on-device inference (TypeScript/JavaScript, Kotlin, and Swift SDKs) that can hand off to a confidential remote-compute service
  when extra capacity is needed. Flower also runs SuperGrid (federated AI networks), Flower Hub, and a hosted control plane
  accessed via the flwr CLI. Flower Labs is backed by Felicis, Northzone, and Y Combinator.
url: https://raw.githubusercontent.com/api-evangelist/flower/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- felicis
- northzone
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://flower.ai/static/images/icon/apple-touch-icon.png
tags:
- Company
- Federated Learning
- Federated AI
- Machine Learning
- Artificial Intelligence
- Privacy
- SDK
- On-Device AI
- Confidential Computing
- Open Source
tags_raw:
- Company
- Federated Learning
- Federated AI
- Machine Learning
- Artificial Intelligence
- Privacy
- SDK
- On-Device AI
- Confidential Computing
- Open Source
- Machine-Learning
- Open-Source
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Pricing
  url: https://flower.ai/pricing
- type: Plans
  url: plans/flower-plans-pricing.yml
- type: Website
  url: https://flower.ai
- type: DeveloperPortal
  url: https://flower.ai/docs/
- type: Documentation
  url: https://flower.ai/docs/
- type: APIReference
  url: https://flower.ai/docs/framework/ref-api/flwr.html
- type: GettingStarted
  url: https://flower.ai/docs/framework/
- type: GitHubOrganization
  url: https://github.com/flwrlabs
- type: Blog
  url: https://flower.ai/blog
- type: Support
  url: https://discuss.flower.ai
- type: Community
  url: https://flower.ai/join-slack
- type: SignUp
  url: https://flower.ai/intelligence
- type: PrivacyPolicy
  url: https://flower.ai/privacy
- type: TermsOfService
  url: https://flower.ai/legal/terms-of-service
- type: TrustCenter
  url: security/flower-trust-center.yml
- type: Packages
  url: packages/flower-packages.yml
- type: SDKs
  url: packages/flower-packages.yml
- type: CLI
  url: cli/flower-cli.yml
- type: ChangeLog
  url: changelog/flower-changelog.yml
- type: Authentication
  url: authentication/flower-authentication.yml
- type: DomainSecurity
  url: security/flower-domain-security.yml
- type: LLMsTxt
  url: llms/flower-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Flower API — frequently asked questions

How do I authenticate with the Flower API?

Flower uses bearer-token authentication (apiKey · 2 schemes). The details are profiled on APIs.io as Flower Authentication.

How much does the Flower API cost?

Flower publishes its prices; its SuperGrid Pro (placeholder) plan is $17/ month , billed yearly as of 2026-10-07. APIs.io lists 5 pricing plans for Flower, with each plan's price, limits and inclusions under Pricing on this page.

Is the Flower API ready for AI agents?

Flower has a Kin Score of 40.7 out of 100 (developing) and an Agent Readiness score of 2.5 (human-only), scored by API Evangelist on 2026-11-06.

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get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
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Every operation they expose

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