Developers

Irrigation intelligence, one call away.

Agorà’s API runs on Milky Data Way, our interoperable digital-twin platform. Send a unit, get a three-day irrigation forecast with the water balance behind it. Send feedback, and the AI tunes the model to that unit.

Quickstart

Register a unit, ask it every morning, tell it what happened.

  1. 01

    Register the unit

    Send the coordinates and the crop. Agorà picks the best weather service, soil data and crop model for that position.

  2. 02

    Read the forecast

    Get today’s, tomorrow’s and the day after’s irrigation need, with the full water balance.

  3. 03

    Send feedback

    Post the irrigation actually applied and what users observe. This is what Agorà’s AI learns from, so the model keeps adapting to each unit.

curl -X POST https://api.vaimee.com/agora/v1/units \
  -H "Authorization: Bearer $AGORA_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "lat": 52.52, "lon": 5.47, "crop": "potato" }'

# → { "id": "unit_7Kq2", "soil": "sandy loam", "model": "CRITERIA1D" }

API surface

Small on purpose.

Set up, forecast, water balance, feedback. Everything else is data you already have.

MethodPathPurpose
POST/agora/v1/unitsRegister a unit: coordinates and crop
GET/agora/v1/units/{id}/adviceThree-day irrigation forecast
GET/agora/v1/units/{id}/balanceDaily water balance terms
POST/agora/v1/units/{id}/feedbackReport applied irrigation and observations — feeds the AI
POST/agora/v1/units/{id}/observationsPush sensor, CRNS or satellite readings
GET/agora/v1/weather/{id}Weather data (Advanced plan and above)

Illustrative endpoint names — CONFIRM AGAINST THE REAL API

The core deep tech behind Agorà.

Milky Data Way (MDW)® is our interoperable platform for building digital twins. Agorà is the first; the same core powers new applications for agriculture and beyond.

It is built on open standards and open source: RDF, OWL and SPARQL.

Data collection & integration

Weather, soil, sensors, satellite and farm software brought into one live graph.

Interoperability & standards

Semantic models instead of one-off connectors, so new sources plug in without rewrites.

Security & governance

Control over who shares what, ready for European Data Spaces.

Scalability & reliability

From one plot to a region, from one twin to many.

Context-driven AI

AI and models work on data that carries its meaning with it — for predictions, recommendations, optimisation and automation.

Interoperability, AI and models

When one standard is not enough, semantics integrates the rest.

1 · Sector interoperability

A dedicated standard works inside one domain

Like ISOBUS between tractors and implements: a shared language and protocol that works well within the agricultural sector.

2 · Across domains and ecosystems

A knowledge graph connects everything else

Weather, irrigation, sensors, farm management, logistics and markets use different standards. A knowledge graph models their meaning, relationships and context — and connects them to AI, models and European Data Spaces.

  • RDF
  • OWL
  • SPARQL
  • JSON-LD
  • HTTP/REST

Numbers to plan with

What to expect in production.

3 days

Forecast horizon, re-run daily

40+

Crop models available

60–20K

Calls per minute, by plan

SLA

Availability target on Pro and Enterprise

Build the irrigation feature you keep being asked for.

Start on the free API plan with two units, and see whether the numbers match what your agronomists already believe.

Request an API key