# German Energy Tax & Compliance Audit Engine (`audit-data-solutions/german-energy-compliance`) Actor
High-precision fiscal audit engine for German energy costs. Automated PLZ-mapping for 800+ grid operators, dynamic SMARD pricing, and GoBD-compliant audit trails.
- **URL**: https://apify.com/audit-data-solutions/german-energy-compliance.md
- **Developed by:** [Quantix](https://apify.com/audit-data-solutions) (community)
- **Categories:** Automation, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $100.00 / 1,000 energy audit certificates
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
## 🚀 Energy Audit & ESG Engine (EU/DE)
Professional tax logic for energy audits and ESG reporting in the EU. This API engine provides high-precision data for energy cost control and compliance, specifically optimized for the German market.
The engine is built for digital accounting in accordance with **ISO 14083**, **CSRD (Scope 2)**, and **GoBD** standards.
---
#### 📊 Live Audit Preview
**[Click here to view a live sample audit report (JSON)](https://api.apify.com/v2/datasets/fLaWEBEwl2qYFR1mQ/items?format=json&clean=true)**
*Example based on PLZ 10117 (Berlin) and 50,000 kWh consumption.*
---
### 🏗️ Key Features
* **Regional Precision:** Automated calculations based on German grid operators (*Netzbetreiber*) via real-time ZIP-code (PLZ) mapping.
* **15-Minute Interval Pricing:** Integration of official BNetzA (SMARD) data with 15-minute accuracy for maximum precision.
* **Fiscal Audit Trail:** Every request generates a unique, hashed `Audit_ID` ensuring data immutability and compliance with GoBD guidelines.
* **Full Tax Specification:** Comprehensive breakdown of energy taxes (§9b/§10 StromStG), concession fees, grid charges, and VAT (19%).
* **Hybrid Logic:** Seamless switching between industrial (*Gewerbe*) and residential tax regulations.
### 📊 Compliance & Frameworks
* **CSRD / ESRS:** Ready for indirect emission reporting (Scope 2).
* **ISO 14083:** Standardized GHG emission calculations for energy and logistics.
* **GoBD-compliant:** Designed for "audit-proof" (revisionssicher) digital accounting in Germany.
* **Accountant-Ready:** Built for validating industrial tax refund applications and official energy audits.
---
#### 🇩🇪 Deutsche Zusammenfassung (ESG & Steuer-Compliance)
Diese Engine bietet automatisierte Berechnungen für Energieaudits nach deutschen Standards. Ideal für Unternehmen, die CSRD-konforme Daten oder Unterstützung bei der Stromsteuererstattung benötigen.
Klicken Sie hier für die vollständige deutsche Beschreibung
##### Professionelle Steuerlogik für den deutschen Markt
Entwickelt für die digitale Buchhaltung gemäß **ISO 14083**, **CSRD (Scope 2)** und **GoBD**.
* **Netzbetreiber-Mapping:** Automatisierte Ermittlung regionaler Gebühren über die Postleitzahl.
* **Revisionssicherheit:** Erstellung einer gehashten `Audit_ID` für manipulationssichere Unterlagen.
* **Steuer-Details:** Vollständige Aufschlüsselung von Stromsteuer (§9b/§10 StromStG), Konzessionsabgaben und Netzentgelten.
* **Wirtschaftsprüfer-Ready:** Validierung von Anträgen auf Stromsteuererstattung und offizielle Energieaudits (DIN EN 16247-1).
Die Engine fungiert als "Übersetzer" zwischen komplexen Gesetzesdaten und sauberem JSON für ERP- und Buchhaltungssysteme.
---
### 🛠️ Integration & Parameters
* `plz`: German ZIP code (5 digits).
* `verbrauch_kwh`: Consumption for the audit period.
* `is_industrial`: Boolean for industrial tax reduction rules.
* `datum`: (Optional) ISO timestamp for historical audits.
---
***Disclaimer:** Data provided for audit and benchmarking purposes. Calculations should be verified against official utility invoices. Audit & Data Solutions assumes no liability for tax filings.*
# Actor input Schema
## `plz` (type: `string`):
De 5-cijferige Duitse postcode.
## `verbrauch_kwh` (type: `integer`):
Totaal verbruik voor de auditperiode.
## `is_industrial` (type: `boolean`):
Vink aan voor belastingvermindering conform §9b/10 StromStG.
## `datum` (type: `string`):
ISO-datum voor historische audits (bijv. 2024-04-22).
## Actor input object example
```json
{
"plz": "10117",
"verbrauch_kwh": 50000,
"is_industrial": false
}
````
# 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 = {
"plz": "10117",
"verbrauch_kwh": 50000
};
// Run the Actor and wait for it to finish
const run = await client.actor("audit-data-solutions/german-energy-compliance").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 = {
"plz": "10117",
"verbrauch_kwh": 50000,
}
# Run the Actor and wait for it to finish
run = client.actor("audit-data-solutions/german-energy-compliance").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 '{
"plz": "10117",
"verbrauch_kwh": 50000
}' |
apify call audit-data-solutions/german-energy-compliance --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=audit-data-solutions/german-energy-compliance",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "German Energy Tax & Compliance Audit Engine",
"description": "High-precision fiscal audit engine for German energy costs. Automated PLZ-mapping for 800+ grid operators, dynamic SMARD pricing, and GoBD-compliant audit trails.",
"version": "0.0",
"x-build-id": "cmuZAZaOdvCQubuRN"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/audit-data-solutions~german-energy-compliance/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-audit-data-solutions-german-energy-compliance",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/audit-data-solutions~german-energy-compliance/runs": {
"post": {
"operationId": "runs-sync-audit-data-solutions-german-energy-compliance",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/audit-data-solutions~german-energy-compliance/run-sync": {
"post": {
"operationId": "run-sync-audit-data-solutions-german-energy-compliance",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"plz",
"verbrauch_kwh"
],
"properties": {
"plz": {
"title": "Postleitzahl (PLZ)",
"type": "string",
"description": "De 5-cijferige Duitse postcode."
},
"verbrauch_kwh": {
"title": "Jaarverbruik (kWh)",
"type": "integer",
"description": "Totaal verbruik voor de auditperiode."
},
"is_industrial": {
"title": "Industrie / Gewerbe",
"type": "boolean",
"description": "Vink aan voor belastingvermindering conform §9b/10 StromStG.",
"default": false
},
"datum": {
"title": "Audit Datum (Optioneel)",
"type": "string",
"description": "ISO-datum voor historische audits (bijv. 2024-04-22)."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```