Kelvin
Kelvin (kelvin°) is a Paris-based startup, founded in 2023 and backed by Seedcamp, building an AI-powered commercial platform for the home energy-renovation industry in France. Its tools help RGE-certified artisans, renovation contractors, general contractors, CEE delegatees and trade platforms find and qualify renovation prospects, generate leads through embeddable address-based simulators, automatically compute energy-efficiency scenarios and government aids (MaPrimeRenov / CEE) with remaining customer cost, and assemble complete financing packages. The AI is trained by thermal engineers and architects and uses open data plus computer vision to assess buildings without a recent DPE. More than 4,000 artisans and sales reps use Kelvin to prospect, prepare appointments and quote work.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Kelvin the way a machine reads it — 1 machine-readable artifact, 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 — Kelvin scores 11.9/100 (minimal), with a separate agent-readiness read of 0/100 (human only). 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 Kelvin
Each block below is one kind of artifact we hold for Kelvin. 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.
Security Posture 1
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 Kelvin — 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 2
Portal, sign-up, and the first successful call
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 1
Authentication, authorization, and security posture
Commercial 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
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