LF Edge

LF Edge is an umbrella organization under the Linux Foundation establishing an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system. It hosts projects like Akraino, EdgeX Foundry, and Open Horizon.

LF Edge is listed with 1 API on the APIs.io network. Tagged areas include Edge Computing, IoT, Linux Foundation, and Open Source.

LF Edge’s developer surface includes documentation, engineering blog, and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

7.8/100 minimal ▬ flat Agent 1/100 human only Front door AI 5/6 prominent Heartbeat 100/100 alive Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreemium

1 API

Edge Computing IoT Linux Foundation Open Source

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 7.8/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 2.0 / 17

Access Clarity 1.1 / 17

Operational Transparency 1.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.0 / 15

Agent readiness — 1/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 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 Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

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 Ask about this →
Access Clarity scores 6.4 — up to +18.7 composite points Ask about this →
Developer Ergonomics scores 11.9 — up to +17.6 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/lf-edge/apis.yml: open an issue on github.com/api-evangelist/lf-edge 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 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

LF Edge API

Programmatic access to LF Edge project resources, APIs, and edge computing framework tools.

LF Edge API pricing

Not yet checked against LF Edge's own pricing page. Compiled by API Evangelist on 2026-05-04; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Free freemium	Free
Professional paid	Free
Enterprise enterprise	—

Plan details, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Free Tier Monthly Quota: 1000 requests per month
Professional Tier Default: 100 requests per minute

Compiled by API Evangelist, not yet checked against LF Edge's documentation. All 5 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

LF Edge Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

LF Edge Rate Limits

5 limits

RATE LIMITS

FinOps 1

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

LF Edge Finops

FINOPS

Security Posture 1

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

LF Edge Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrg

GitHubOrg

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

Website

Website

LinkedIn

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Projects

Projects

Source (apis.yml)

aid: lf-edge
name: LF Edge
description: LF Edge is an umbrella organization under the Linux Foundation establishing an open, interoperable framework
  for edge computing independent of hardware, silicon, cloud, or operating system. It hosts projects like Akraino, EdgeX Foundry,
  and Open Horizon.
type: Index
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
position: Consuming
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/lf-edge.png
tags:
- Edge Computing
- IoT
- Linux Foundation
- Open Source
tags_raw:
- Edge Computing
- IoT
- Linux Foundation
- Open Source
- Open-Source
created: '2026-03-16'
modified: '2026-04-28'
url: https://raw.githubusercontent.com/api-evangelist/lf-edge/refs/heads/main/apis.yml
specificationVersion: '0.23'
apis:
- aid: lf-edge:lf-edge-api
  name: LF Edge API
  description: Programmatic access to LF Edge project resources, APIs, and edge computing framework tools.
  humanURL: https://lfedge.org/projects/
  tags:
  - Edge Computing
  - IoT
  - Linux Foundation
  - Open Source
  tags_raw:
  - Edge Computing
  - IoT
  - Linux Foundation
  - Open Source
  - Open-Source
  properties:
  - type: Documentation
    url: https://lfedge.org/projects/
common:
- type: Plans
  url: plans/lf-edge-plans-pricing.yml
- type: RateLimits
  url: rate-limits/lf-edge-rate-limits.yml
- type: FinOps
  url: finops/lf-edge-finops.yml
- type: Website
  url: https://www.lfedge.org/
- type: DomainSecurity
  url: security/lf-edge-domain-security.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/lf-edge
- type: Documentation
  name: LF Edge Documentation
  description: Official documentation for LF Edge.
  url: https://lfedge.org/projects/
- type: GitHubOrg
  name: LF Edge GitHub
  description: Source code and repositories for LF Edge.
  url: https://github.com/lf-edge
- type: Projects
  name: LF Edge Projects
  description: Portfolio of edge computing projects including Akraino, EdgeX Foundry, EVE, Fledge, EdgeLake, FIDO Device Onboard,
    Open Horizon, State of the Edge, eKuiper, InfiniEdge AI, InstantX, NanoMQ, Nexoedge, and Ocre.
  url: https://lfedge.org/projects/
- url: https://lfedge.org/feed/
  type: Blog
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com

LF Edge API — frequently asked questions

Does LF Edge have an API?

Yes. APIs.io lists 1 API from LF Edge, including LF Edge API.

How much does the LF Edge API cost?

APIs.io lists 3 pricing plans for LF Edge, with each plan's price, limits and inclusions under Pricing on this page.

Is the LF Edge API ready for AI agents?

LF Edge has a Kin Score of 7.8 out of 100 (minimal) and an Agent Readiness score of 0.6 (human-only), scored by API Evangelist on 2026-11-13.

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get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
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