# EUDR Parcel Screener — Deforestation Check (JRC maps) (`prometheusagency/eudr-parcel-screener`) Actor Screen farm plots against the EU's official EUDR reference maps: forest on the 31-Dec-2020 cut-off (JRC GFC2020), post-2020 deforestation signal (JRC TMF) and the EC country risk tier. Evidence for your due diligence statement. - **URL**: https://apify.com/prometheusagency/eudr-parcel-screener.md - **Developed by:** [Prometheus Agency](https://apify.com/prometheusagency) (community) - **Categories:** Business, AI, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $50.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## EUDR Parcel Screener — Deforestation Check with the Official EU Maps Screen farm plots and supply-chain parcels for **EUDR (EU Deforestation Regulation 2023/1115)** risk in seconds — against the **same reference maps the EU regulator publishes**: - 🌳 **JRC GFC2020 v3** — the European Commission's global forest cover map for the legal cut-off date **31 December 2020** (10 m resolution). - 🛰️ **JRC Tropical Moist Forest (TMF)** — post-2020 forest conversion signal across the tropical belt, where coffee, cocoa, palm oil, rubber and soy are grown. - 🇪🇺 **EC country benchmarking** (Implementing Regulation (EU) 2025/1093) — low / standard / high risk tier per country, embedded and up to date. **One row per parcel**: screening verdict (`LOW` / `REVIEW` / `HIGH`), % forest on the 2020 baseline, % post-2020 deforestation signal, country risk tier, the due-diligence level that applies, and plain-language reasons you can attach to your **due diligence statement (DDS)** risk assessment for TRACES. ### Who is this for? - **Importers / operators** placing cocoa, coffee, wood, rubber, soy, palm oil or cattle products on the EU market (deadline: **30 Dec 2026** for large/medium operators, **30 Jun 2027** for micro/small). - **Exporters and cooperatives** in producing countries who need to show EU buyers their plots are deforestation-free. - **Consultants and compliance SaaS** who want a per-check geospatial API instead of building GIS infrastructure. - **AI agents** — this Actor is exposed via MCP, so agents can screen parcels autonomously. ### Input Point + radius for smallholder plots, or exact polygons (EUDR expects polygons above 4 ha): ```json { "parcels": [ { "id": "farm-1", "lat": 4.8, "lon": -75.6, "radiusMeters": 120, "country": "CO" }, { "id": "block-7", "polygon": [[-62.73, -9.77], [-62.71, -9.77], [-62.71, -9.75], [-62.73, -9.75]], "country": "BR" } ] } ```` GeoJSON FeatureCollections are also accepted (e.g. exported from your farm registry). ### Output (one item per parcel) ```json { "parcelId": "block-7", "riskLevel": "HIGH", "reasons": "Post-2020 deforestation signal on 97.2% of the parcel: forest on the official 2020 baseline (JRC GFC2020) now mapped as deforested (JRC TMF).", "country": "Brazil", "countryRiskTier": "standard", "dueDiligenceLevel": "full due diligence", "forest2020Pct": 97.2, "post2020LossPct": 97.2, "tmfCoveragePct": 100, "sources": "JRC GFC2020 v3 (2020 baseline) + JRC TMF 2024 (change) + EC benchmarking 2025/1093", "checkedAt": "2026-07-04T12:00:00.000Z" } ``` ### Why this Actor? - **The regulator's own data.** The forest baseline is the map the Commission publishes specifically to support EUDR risk assessment — not a proprietary black box. - **Per-check pricing.** No subscription, no seats, no onboarding call. Screen 3 parcels or 3,000. - **Verdicts you can explain.** Every result carries human-readable reasons and the exact sources, ready to attach as evidence. - **Works for agents.** Available through MCP so AI workflows can call it directly. ### Honest limitations 10 m resolution means very small clearings can be missed and edges are approximate; the JRC maps are **non-mandatory, non-exclusive** evidence under EUDR. Treat results as a **screening signal to prioritise due diligence**, not as a legal determination. Post-2020 change detection (TMF) covers the tropical belt; outside it, the 2020 baseline and country tier still apply and the output says so explicitly. *** ### 🇪🇸 Chequeo EUDR de parcelas — en español Comprueba parcelas contra el **Reglamento Europeo de Deforestación (EUDR)** usando los **mapas oficiales de la Comisión**: bosque a 31-dic-2020 (JRC GFC2020), señal de deforestación posterior a 2020 (JRC TMF) y el nivel de riesgo país oficial (bajo/estándar/alto). Pensado para **importadores españoles** y **exportadores y cooperativas de América Latina** (café, cacao, madera, soja, palma, caucho, vacuno): una fila por parcela con veredicto (`LOW`/`REVIEW`/`HIGH`), porcentajes de bosque y pérdida, y motivos en lenguaje claro para adjuntar a tu **declaración de diligencia debida (DDS)** en TRACES. Fechas límite: **30-dic-2026** (grandes y medianas) y **30-jun-2027** (micro y pequeñas). Pago por chequeo, sin suscripción. # Actor input Schema ## `parcels` (type: `array`): One object per plot: {"id", "lat", "lon", "radiusMeters" (default 120), "country"} for point+radius, or {"id", "polygon": \[\[lon,lat], …], "country"} for exact boundaries. Country = ISO2 code or name (for the EC risk tier). EUDR expects polygons for plots over 4 ha. ## `geojson` (type: `string`): Optional: a GeoJSON FeatureCollection of Points/Polygons (e.g. exported from your farm registry). Feature properties "id" and "country" are used if present. Processed in addition to the parcels list. ## `defaultCountry` (type: `string`): Country applied to parcels that do not specify one — ISO2 code (CO, BR, CI…) or name in English/Spanish. Determines the EC benchmarking tier (low/standard/high). ## `gridSize` (type: `integer`): Resolution of the sampling window per parcel (8-48). 24 ≈ native 10 m resolution for a typical smallholder plot. Higher = finer but slower. ## `riskThresholdPct` (type: `integer`): Flag HIGH risk when at least this % of the parcel shows post-2020 conversion of 2020-baseline forest. EUDR tolerates no deforestation, so keep this low (default 1). ## `maxParcels` (type: `integer`): Stop after this many parcels (1-500). Each parcel produces one result item. ## Actor input object example ```json { "parcels": [ { "id": "coffee-farm-quindio", "lat": 4.8, "lon": -75.6, "radiusMeters": 120, "country": "CO" }, { "id": "frontier-plot-rondonia", "lat": -9.7627, "lon": -62.7225, "radiusMeters": 250, "country": "BR" }, { "id": "open-farmland-castilla", "lat": 41.85, "lon": -4.55, "radiusMeters": 120, "country": "ES" } ], "gridSize": 24, "riskThresholdPct": 1, "maxParcels": 50 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "parcels": [ { "id": "coffee-farm-quindio", "lat": 4.8, "lon": -75.6, "radiusMeters": 120, "country": "CO" }, { "id": "frontier-plot-rondonia", "lat": -9.7627, "lon": -62.7225, "radiusMeters": 250, "country": "BR" }, { "id": "open-farmland-castilla", "lat": 41.85, "lon": -4.55, "radiusMeters": 120, "country": "ES" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("prometheusagency/eudr-parcel-screener").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "parcels": [ { "id": "coffee-farm-quindio", "lat": 4.8, "lon": -75.6, "radiusMeters": 120, "country": "CO", }, { "id": "frontier-plot-rondonia", "lat": -9.7627, "lon": -62.7225, "radiusMeters": 250, "country": "BR", }, { "id": "open-farmland-castilla", "lat": 41.85, "lon": -4.55, "radiusMeters": 120, "country": "ES", }, ] } # Run the Actor and wait for it to finish run = client.actor("prometheusagency/eudr-parcel-screener").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "parcels": [ { "id": "coffee-farm-quindio", "lat": 4.8, "lon": -75.6, "radiusMeters": 120, "country": "CO" }, { "id": "frontier-plot-rondonia", "lat": -9.7627, "lon": -62.7225, "radiusMeters": 250, "country": "BR" }, { "id": "open-farmland-castilla", "lat": 41.85, "lon": -4.55, "radiusMeters": 120, "country": "ES" } ] }' | apify call prometheusagency/eudr-parcel-screener --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=prometheusagency/eudr-parcel-screener", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EUDR Parcel Screener — Deforestation Check (JRC maps)", "description": "Screen farm plots against the EU's official EUDR reference maps: forest on the 31-Dec-2020 cut-off (JRC GFC2020), post-2020 deforestation signal (JRC TMF) and the EC country risk tier. Evidence for your due diligence statement.", "version": "0.1", "x-build-id": "yD1qucrkxU3mFvXXT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/prometheusagency~eudr-parcel-screener/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-prometheusagency-eudr-parcel-screener", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/prometheusagency~eudr-parcel-screener/runs": { "post": { "operationId": "runs-sync-prometheusagency-eudr-parcel-screener", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/prometheusagency~eudr-parcel-screener/run-sync": { "post": { "operationId": "run-sync-prometheusagency-eudr-parcel-screener", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "parcels" ], "properties": { "parcels": { "title": "Parcels (plots of land)", "type": "array", "description": "One object per plot: {\"id\", \"lat\", \"lon\", \"radiusMeters\" (default 120), \"country\"} for point+radius, or {\"id\", \"polygon\": [[lon,lat], …], \"country\"} for exact boundaries. Country = ISO2 code or name (for the EC risk tier). EUDR expects polygons for plots over 4 ha." }, "geojson": { "title": "GeoJSON (alternative input)", "type": "string", "description": "Optional: a GeoJSON FeatureCollection of Points/Polygons (e.g. exported from your farm registry). Feature properties \"id\" and \"country\" are used if present. Processed in addition to the parcels list." }, "defaultCountry": { "title": "Default country", "type": "string", "description": "Country applied to parcels that do not specify one — ISO2 code (CO, BR, CI…) or name in English/Spanish. Determines the EC benchmarking tier (low/standard/high)." }, "gridSize": { "title": "Sampling grid (pixels per side)", "type": "integer", "description": "Resolution of the sampling window per parcel (8-48). 24 ≈ native 10 m resolution for a typical smallholder plot. Higher = finer but slower.", "default": 24 }, "riskThresholdPct": { "title": "Deforestation threshold (%)", "type": "integer", "description": "Flag HIGH risk when at least this % of the parcel shows post-2020 conversion of 2020-baseline forest. EUDR tolerates no deforestation, so keep this low (default 1).", "default": 1 }, "maxParcels": { "title": "Max parcels per run", "type": "integer", "description": "Stop after this many parcels (1-500). Each parcel produces one result item.", "default": 50 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```