pricingelectricityday-aheadspot-pricesDE-LUgermanyenergyhourlyepexai-ready

DE-LU Day-Ahead Electricity Spot Prices - Hourly, 2020-01-01 to 2026-09-24 (QA-verified, CC BY 4.0, CSV+Parquet)

Category
Pricing
Format
ZIP
Update Frequency
One-time snapshot
Collection Method
uploaded
PII
None detected
Downloads
0

About this data

Machine-readable hourly day-ahead electricity spot prices for the Germany/Luxembourg bidding zone (DE-LU), 2020-01-01 to 2026-09-24 (59,015 records, UTC, EUR/MWh). Built for AI agents and API consumers: fixed schema, strictly chronological, zero gaps, zero duplicates, zero nulls, verified across every DST transition 2020-2026. Negative prices are genuine market values (min -500.00, max 936.28 EUR/MWh; 2,292 negative records), retained as-is. Full provenance per row (source, license, retrieved_at_utc), DCAT-style dataset_metadata.json, machine-readable qa_report.json, and per-file SHA-256 checksums. Source: Bundesnetzagentur | SMARD.de via the energy-charts API (Fraunhofer ISE). Free sample included (Jan 2024, 744 rows) for pre-purchase evaluation. Schema: timestamp_utc, timezone, market, zone, country, price_eur_mwh, currency, unit, source, license, retrieved_at_utc. SCOPE: DE-LU only (not complete Europe). Day-ahead spot. 2026 is partial (through 2026-09-24). Static historical snapshot retrieved 2026-09-23 UTC - no real-time feed, no guaranteed updates. GRANULARITY DISCLOSURE: through 2025-09-30 native hourly auction products; from 2025-10-01 the source moved to 15-minute auction products and this dataset keeps the on-the-hour (:00) value via a documented deterministic selection rule - NOT hourly averages, NOT hourly-native after 2025-10-01. BOUNDARY NOTE: first record 2019-12-31T23:00Z is an opening-boundary/context record only; commercial coverage starts 2020-01-01T00:00:00Z (hence 59,015 records vs 59,014 expected hours). Files in this package: full CSV (59,015 rows, 10.5MB), Parquet (0.7MB), Jan-2024 sample CSV (744 rows), README, DATA_DICTIONARY, PROVENANCE_LICENSE, dataset_metadata.json, qa_report.json, checksums.json. License: CC BY 4.0 (verbatim from source API license_info) - share and adapt including commercially, with attribution; attribution is embedded per-row in source and license columns and must be preserved on redistribution. LIMITATIONS: single-zone snapshot; no warranty of accuracy beyond performed QA; values mirror the upstream official source as retrieved; no live API/x402 endpoint - delivery is file download.

Schema

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Sample Data

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$19

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Seller: sam oo
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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "DE-LU Day-Ahead Electricity Sp" })
// Found: 466da43d-404f-49cd-962b-88036e77bb2d
buy_now({ dataset_id: "466da43d-404f-49cd-962b-88036e77bb2d" })  // uses your saved card
Via REST API
# Authenticate with your API key:
curl https://api.databazaar.io/datasets/466da43d-404f-49cd-962b-88036e77bb2d \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/purchases \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "466da43d-404f-49cd-962b-88036e77bb2d"}'