Argile sizing API: automated calculations

What is a sizing API for in your RGE job sites in 2026?

Going from the site survey to a reliable calculation without wasting time

A sizing API links your surveys (surfaces, volumes, photos, plans, climate zones) to a calculation engine. The result: you get a reliable calculation without re-entering data, with clear assumptions that are exportable for the job file and the grants.

Reducing power and equipment choice errors (heat pump, ventilation, insulation)

Correct sizing means avoiding a heat pump that is too big and short-cycles, or too small and struggles on cold days. An API can apply rules derived from reference frameworks, check the consistency of heat loss, and secure the right power rating. The same logic applies to ventilation (flow rates) and insulation (thermal resistances), with alerts when a choice falls outside the norms.

Responding faster to requests with consistent, comparable scenarios

With an API, you generate several scenarios on an identical basis. You compare options (insulation first, then heat pump, or the reverse) and you send a quote faster. The client sees clear variants, you keep control, and your recommendation stays consistent with an RGE approach.

What data should you plan for to automate your sizing calculations?

Building data: surfaces, volumes, walls, joinery, orientation, use

To automate a reliable sizing, start from a solid base. Enter the heated surfaces, volumes and ceiling heights, then the walls (walls, floors, roofs) with their materials and insulation. Add the joinery with glazing type, dimensions, airtightness, orientation and shading. Finish with the intended use, the temperature setpoints and the room zoning.

Technical data: existing systems, emitters, networks, installation constraints

List the existing system and its settings: generator, power rating, flow temperatures, regulation, DHW, ventilation. On the distribution side, specify radiators, underfloor heating, indoor units, as well as the state of the networks (lengths, diameters, heating network balancing). Also note the constraints: available space, access, noise, condensate drainage, flue system, and electrical capacity.

External data: local weather, altitude, regulatory context, address-based Open Data

Calculations gain in accuracy with local weather and a base outdoor temperature, altitude, wind exposure, and microclimate. Integrate the grant and installation rules (RGE, CEE technical sheets, MaPrimeRénov' requirements) and, via an API, pre-fill using address-based Open Data: land registry, energy performance certificate, risk zones, heritage constraints, networks.

How the Argile API automates the sizing of your projects

Fast energy diagnosis and retrofit scenarios in under 5 minutes

With the Argile API, you start from a fast energy diagnosis. In 5 minutes, the platform estimates the heat loss, proposes scenarios (insulation, ventilation, heating) and gives orders of magnitude for the power rating and the surfaces to be treated. You keep control of the assumptions, without getting lost in spreadsheets.

Feasibility analysis: technical constraints automatically detected at the address

Starting from an address, the feasibility analysis cross-references public data: at the address, climate zone, altitude, building type, access or planning constraints, presence of a gas network. The system highlights what often blocks a sizing, then suggests realistic alternatives.

3D reconstruction and technical visit assistance to make calculation inputs more reliable

3D reconstruction and technical visit assistance secure your surveys. Reliable measurements, openings, heights, surfaces, insulation thicknesses, heat pump unit locations. Once the inputs are made reliable, your calculations and quotes gain in precision, without extending the time on site — in line with the workflow from technical visit to quote.

From calculation to quote: integrating automation into your pricing and the grants

Pre-costing and detailed quotes: linking sizing, quantities and prices

With a tool connected to your price libraries, the sizing (heat pump, insulation, ventilation) automatically feeds the quantities. Surfaces, lengths, power ratings, accessories, everything flows through into the pre-costing, then into a detailed quote. An API can also push these lines to your ERP or your invoicing software, without re-entering data.

Grant calculation: MaPrimeRénov' and CEE directly in the quoting journey

In the same journey, you simulate MaPrimeRénov' and CEE premiums according to the scenario chosen, the measure, the target performance and your qualifications. In 2026, the client mainly wants a simple answer: the remaining cost, the possible advance payment and the documents to prepare. Automation reduces oversights and secures your grants.

Standardising your deliverables: assumptions, results, supporting documents and traceability

Standardise your assumptions (surface, thermal resistance, COP, regulation), your results and the expected supporting documents. With templates, you produce a quote, a calculation note and a consistent, timestamped evidence file. This traceability makes checking easier and speeds up exchanges with the grant bodies.

Best practices for deploying an API in a renovation company

Defining your internal rules: assumptions, margins, options, quality checks

Before opening your API to your quoting or grant tools, set clear rules. List your assumptions (surfaces, resistances, efficiencies), your margins per work package, your standard options. Add simple quality checks. For example, alert thresholds on heat pump power ratings, consistency of insulation U-values, missing administrative documents.

Securing exchanges: access management, confidentiality, calculation responsibility

Apply the principle of minimal access. One token per application, role-based rights, and regular key rotation. Encrypt exchanges (HTTPS), log calls, and define what falls under your responsibility. Housing data, client data, grant calculations. Also plan a "read-only" mode for partners.

Measuring field impact: quoting lead times, signature rate, share of comprehensive retrofits

Track field indicators every week. Average quoting time, number of quotes sent, signature rate, and share of comprehensive retrofit projects. Link these figures to API changes. A useful improvement shows up quickly in your schedule and your order book.