# IRA Energy Community Bonus Screener — 10% ITC/PTC Adder (`malonestar/ira-energy-community-bonus-screener`) Actor Point-in-polygon screener that checks project-site coordinates against DOE/NETL coal-closure census tracts and Fossil Fuel Employment MSAs to determine IRA energy-community 10% ITC/PTC bonus eligibility. - **URL**: https://apify.com/malonestar/ira-energy-community-bonus-screener.md - **Developed by:** [Kyle Maloney](https://apify.com/malonestar) (community) - **Categories:** Real estate, Developer tools, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## IRA Energy Community Bonus Screener — 10% ITC/PTC Adder Checks whether a project site's coordinates fall inside an IRA "energy community," which earns a 10-percentage-point Investment Tax Credit adder (sections 48/48E) or a 10% Production Tax Credit increase (sections 45/45Y). Built for clean-energy developers, tax-equity investors, and their counsel who need a defensible yes/no on the bonus before it goes into a pro forma. ### How it works You pass a list of sites (`lat`/`lon`, WGS84). For each one the actor runs a server-side point-in-polygon query against the two authoritative DOE/NETL energy-community layers hosted at `arcgis.netl.doe.gov` and returns one row per site: 1. **2024 Coal Closure Energy Communities** (4,325 census-tract polygons) — a tract with a coal mine closure, a coal-fired generator retirement, or a tract that directly adjoins one. Every polygon in this layer qualifies. 2. **2024 MSAs/non-MSAs that are Energy Communities** (901 polygons) — a Metro or non-Metro Statistical Area that meets both the Fossil Fuel Employment threshold and the unemployment-rate requirement. Every polygon here qualifies too. A site qualifies if it intersects either layer. The query sends `inSR=4326` so lon/lat points transform correctly against the NAD83 layers. Not screened: the third statutory category, Brownfield Sites, has no single national polygon layer, so a "does not qualify" result here does not rule out a brownfield-based qualification. This is an informational screen, not tax advice or an IRS determination. ### Example input ```json { "assets": [ { "lat": 37.8, "lon": -81.5, "label": "Raleigh County, WV solar site" }, { "lat": 44.29, "lon": -105.5, "label": "Gillette, WY wind site" }, { "lat": 40.7484, "lon": -73.9857, "label": "Manhattan, NY (control)" } ], "maxAssets": 500 } ```` ### Key output fields - `qualifies_for_ira_energy_community_bonus` — the headline yes/no; true if the site hits either category. Null if the coordinate was invalid. - `bonus_adder` — `10% ITC / +10% PTC` when qualifying. - `in_coal_closure_community`, `coal_closure_tract_geoid`, `closure_type` (mine closure, generator retirement, both, or adjacency), `coal_closure_county`, `coal_closure_state`. - `in_energy_community_msa`, `msa_name`, `msa_type` (MSA or non-MSA), `msa_county`, `msa_state`. - `determination_basis` — a plain-language sentence you can paste into a diligence memo; `determination_categories` lists which categories matched. - `source_citation`, `disclaimer`, `error`, `checked_at`. A site in neither category returns a clean `false` row, not an error. ### Who uses it - Solar, wind, storage, hydrogen, and RNG developers modeling the 10% bonus into a project pro forma. - Tax-equity investors, banks, and law firms running eligibility diligence across a portfolio. - Site-selection and EPC teams comparing candidate parcels. - AI agents that need a structured energy-community lookup. ### Use as an MCP tool The actor is callable by AI agents (Claude, Cursor, and others) through mcp.apify.com. It is a Pay-Per-Result API: pass coordinates, get back a structured eligibility determination with the census-tract GEOID or MSA name that drove it. ### Data sources Both layers are public, keyless ArcGIS FeatureServers published by the U.S. DOE / National Energy Technology Laboratory (NETL 2024v1), backing IRS Notices 2023-29, 2023-45, 2023-47, and 2024-30. There is no API key and no scraping — these are the same layers behind the DOE energy-community mapping tool. ### FAQ **Does a census tract adjacent to a coal closure qualify?** Yes. The statute qualifies both a coal-closure tract and one that directly adjoins it; `closure_type` tells you which case applies. **What is the bonus worth?** A 10-percentage-point ITC adder, or a 10% increase to the PTC, for a qualifying clean-energy project. **Why might a site fail here but still get the bonus?** Because the Brownfield Site category is not part of this screen. **Is this tax advice?** No. Confirm against current IRS guidance and the DOE mapping tool, and consult a tax advisor before claiming the credit. # Actor input Schema ## `assets` (type: `array`): List of project sites to screen for the IRA energy-community 10% bonus. Each item is an object with numeric lat and lon (WGS84 decimal degrees) and an optional label. One billable result row is returned per asset. Example: \[{"lat":37.8,"lon":-81.5,"label":"Solar site A"}]. ## `maxAssets` (type: `integer`): Maximum number of assets to screen from the assets list (safety cap). Extra assets beyond this are ignored. ## Actor input object example ```json { "assets": [ { "lat": 37.8, "lon": -81.5, "label": "Raleigh County, WV (coal-closure tract + Beckley MSA)" }, { "lat": 44.29, "lon": -105.5, "label": "Gillette, WY (coal-closure adjacency)" }, { "lat": 40.7484, "lon": -73.9857, "label": "Manhattan, NY (control - does not qualify)" } ], "maxAssets": 500 } ``` # Actor output Schema ## `results` (type: `string`): The default dataset. # 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 = { "assets": [ { "lat": 37.8, "lon": -81.5, "label": "Raleigh County, WV (coal-closure tract + Beckley MSA)" }, { "lat": 44.29, "lon": -105.5, "label": "Gillette, WY (coal-closure adjacency)" }, { "lat": 40.7484, "lon": -73.9857, "label": "Manhattan, NY (control - does not qualify)" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("malonestar/ira-energy-community-bonus-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 = { "assets": [ { "lat": 37.8, "lon": -81.5, "label": "Raleigh County, WV (coal-closure tract + Beckley MSA)", }, { "lat": 44.29, "lon": -105.5, "label": "Gillette, WY (coal-closure adjacency)", }, { "lat": 40.7484, "lon": -73.9857, "label": "Manhattan, NY (control - does not qualify)", }, ] } # Run the Actor and wait for it to finish run = client.actor("malonestar/ira-energy-community-bonus-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 '{ "assets": [ { "lat": 37.8, "lon": -81.5, "label": "Raleigh County, WV (coal-closure tract + Beckley MSA)" }, { "lat": 44.29, "lon": -105.5, "label": "Gillette, WY (coal-closure adjacency)" }, { "lat": 40.7484, "lon": -73.9857, "label": "Manhattan, NY (control - does not qualify)" } ] }' | apify call malonestar/ira-energy-community-bonus-screener --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=malonestar/ira-energy-community-bonus-screener", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "IRA Energy Community Bonus Screener — 10% ITC/PTC Adder", "description": "Point-in-polygon screener that checks project-site coordinates against DOE/NETL coal-closure census tracts and Fossil Fuel Employment MSAs to determine IRA energy-community 10% ITC/PTC bonus eligibility.", "version": "1.0", "x-build-id": "mOUUogZXaRw3EayE4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/malonestar~ira-energy-community-bonus-screener/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-malonestar-ira-energy-community-bonus-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/malonestar~ira-energy-community-bonus-screener/runs": { "post": { "operationId": "runs-sync-malonestar-ira-energy-community-bonus-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/malonestar~ira-energy-community-bonus-screener/run-sync": { "post": { "operationId": "run-sync-malonestar-ira-energy-community-bonus-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", "properties": { "assets": { "title": "Assets (project-site coordinates to screen)", "type": "array", "description": "List of project sites to screen for the IRA energy-community 10% bonus. Each item is an object with numeric lat and lon (WGS84 decimal degrees) and an optional label. One billable result row is returned per asset. Example: [{\"lat\":37.8,\"lon\":-81.5,\"label\":\"Solar site A\"}]." }, "maxAssets": { "title": "Max assets", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of assets to screen from the assets list (safety cap). Extra assets beyond this are ignored.", "default": 500 } } }, "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 } } } } } } } } } } ```