Cross-network EV charging performance benchmarking corpus

Cross-network EV charging performance benchmarking corpus: per-site daily pricing recommendations (raise / hold / lower) derived from a merged local market price feed combining ChargePrice, Hubject and OCPI roaming data with Monta's own charge points, plus utilisation and reliability metrics — energy delivered, session counts, revenue, charge success rate, failure rate and uptime — aggregated into anonymised regional peer cohorts by location and charging speed tier, and exposed alongside session, site and energy records through an API

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Brickroad customers

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareElectric Utilities
Instruments: equities
Categories: AlternativeGeospatialReferenceSentimentSupply Chain
Regions: USUKOtherEurope
Sample tickers: CHPTBLNKEVGOBP.LSHEL.LTSLAIBE.MCENEL.MIPLTRGEV

Dataset card

Type: not stated
Format: Tabular (time-station-price and time-station-performance series in JSON via the customer API and a partner data-warehouse feed, aggregated to region x speed-tier cohorts for benchmarking views)
Volume: est. millions of charge sessions and per-site daily pricing observations per year across the managed estate — each managed charge point emits one daily pricing recommendation plus session, energy and uptime records, and the benchmark merges this with third-party local market price feeds; absolute counts are not published on the page
Users: est. tens of thousands of driver accounts on the consumer charging app plus thousands of contracted business accounts across charge point operators, landowners and e-mobility providers (inferred from ~200 employees, ~$113M revenue and a pan-European charge-point-management footprint; the page publishes benchmark cohorts rather than account counts)
History: 6 years
Update frequency: not stated
Growth: Active — benchmarking is a recently introduced AI product line inside an aggressively funded platform that keeps shipping new data and roaming capabilities
Launched: ~2024-2025 for the benchmarking capability (shipped under the AI product family); the company was founded in Copenhagen and raised a Series B before this feature, so the underlying charging dataset predates the product by several years
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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