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Europe

DE · 8 metros

Frankfurt-anchored exits for German corpora and EU evaluation

AWS Frankfurt, Hetzner, and DE-CIX peering for bulk collection. Deutsche Telekom and Vodafone residential for eval. Tuned for the EU AI Act-era workflow where lawful basis, opt-out, and provenance are first-class.

Carrier ASNs we size against

  • ›Deutsche Telekom (AS3320)
  • ›Vodafone DE (AS3209)
  • ›1&1 Versatel (AS8881)
  • ›AWS eu-central-1 Frankfurt (AS16509)
  • ›Google Cloud europe-west3 (AS15169)
  • ›Hetzner (AS24940)
  • ›DE-CIX Frankfurt peering
  • ›Telefónica O2 DE (AS6805)
statusmarkets10exit classes5edge rtt<50msuptime99.9%ops24/7

Germany · Exit classes

Pick the exit class that fits your workload

The Germany network, up close

What a Germany session actually looks like

Why Germany is over-represented in a serious AI stack

Three reasons German coverage sits alongside US and UK in almost every AI-team proxy configuration we see:

  • SquadProxy value. German is the second-largest European web-content language by volume. A frontier model trained without strong German representation under-performs sharply on KMMLU-style multilingual evals and on enterprise deployment in DACH.
  • Hosting gravity. Frankfurt's DE-CIX is one of the largest internet exchanges in the world. A majority of European-region AI infrastructure — AWS eu-central-1, Anthropic's EU endpoints when available, the Hetzner Nuremberg/Falkenstein fleet — peers there.
  • Regulatory anchoring. Under the EU AI Act, providers training general-purpose models have to document training-data sources and respect machine-readable opt-outs (§44b UrhG, Directive 2019/790). Running the collection through a Frankfurt datacenter with a German legal basis in place is the cleanest path.

What the DE pool routes through

  • Datacenter — AWS eu-central-1, Hetzner (Falkenstein and Nuremberg), GCP europe-west3. Frankfurt is ≤5ms from DE-CIX.
  • Residential — Deutsche Telekom, Vodafone DE, 1&1, O2 DE. City-level selection in Berlin, Munich, Frankfurt, Hamburg, and the Tübingen–Karlsruhe corridor for academic-origin eval.
  • Mobile — Deutsche Telekom, Vodafone, O2 4G/5G.

Good fit

  • Pre-training collection for German, Austrian German, Swiss German
  • Regional evaluation from an EU-resident vantage (important for safety evals that depend on the model detecting EU-context queries)
  • Scraping of German academic repositories (ELKI, DBLP, MPI preprint archives), public-sector data, and EU open-data portals
  • RAG ingestion where .de and .at content is required

Not a good fit

  • Personal data collection outside a lawful basis under GDPR Art. 6
  • Content marked with a valid machine-readable TDM reservation — we honour opt-outs at the gateway level for customers who opt-in to that mode
  • Circumvention of paywalls on German press publishers

ASN depth in the German residential pool

German broadband concentrates around four historic incumbents plus regional alt-nets:

  • Deutsche Telekom (AS3320) — dominant residential ISP nationwide, including FTTH Glasfaser. The DTAG pool anchors most DE-residential workloads.
  • Vodafone Kabel Deutschland (AS31334) — cable footprint, particularly strong in urban centres.
  • 1&1 / United Internet (AS8881) — significant DSL + FTTH share.
  • O2 / Telefónica Germany (AS6805) — DSL + FWA, urban focus.

Mobile: Deutsche Telekom Mobile, Vodafone DE, O2 Telefónica, and 1&1 (post-2023 infrastructure launch) carry all DE 4G/5G.

Top German metros

  • Berlin — political and startup capital, dense AI/research scene, regional news (Der Spiegel, Berliner Zeitung) concentration.
  • Frankfurt am Main — financial services hub, AWS eu-central-1 home region, largest internet exchange (DE-CIX) in the world. Latency-sensitive AI workloads anchor here.
  • Munich — industrial / enterprise (Siemens, BMW), conservative regional politics (Bavaria), distinct content footprint.
  • Hamburg — media (Der Spiegel, Die Zeit), port logistics, Northern Germany regional anchor.
  • Cologne, Düsseldorf, Stuttgart — secondary metros with strong industrial / enterprise content surfaces.

German legal landscape for AI data collection

  • GDPR + BDSG — EU GDPR applies; the German federal implementing act (BDSG) adds national-specific rules, particularly around employee data. Training-data collection involving PII needs Art. 6 lawful basis.
  • UrhG §44b (TDM reservation) — German copyright law permits text-and-data mining for general purposes, but rightsholders can opt out via machine-readable reservations. In practice this means meta name="robots" content="noai, noimageai" and emerging ai.txt proposals. SquadProxy offers a gateway-level opt-out honoring mode for customers who want to respect these reservations automatically.
  • EU AI Act — Germany enforces the EU AI Act through BNetzA and BfDI coordination. High-risk systems deployed in Germany face conformity-assessment obligations that reach back to training-data documentation.
  • Netzwerkdurchsetzungsgesetz (NetzDG) successor via DSA — the Digital Services Act replaces NetzDG for most content-platform obligations. Relevant for safety red-team work against German-deployed platforms.

Latency and edge routing

DE edge routes through AWS eu-central-1 (Frankfurt). Latency to major AI inference from Frankfurt:

  • OpenAI API (regional routing): ~25-40ms p50
  • Anthropic API: ~30-50ms p50
  • Google Gemini (europe-west3): ~15-25ms p50

Residential adds 50-200ms; mobile 80-250ms. Deutsche Telekom and Vodafone Kabel footprints are the most consistent for eval work.

Related

Pricing

Germany proxies — same price, same network

Every plan covers the Germany pool and every other market we operate.

Solo

For individual researchers running evaluation scripts and prototype RAG pipelines.

$149/ month

or $1,430/year (save 20%)

50 GB residential · unlimited datacenter · 200 concurrent sessions

  • ✓Access to all 5 exit classes · 10 focus countries
  • ✓50 GB residential · unlimited datacenter
  • ✓5 static ISP IPs · 5 GB 4G mobile
  • ✓1 seat · 200 concurrent sessions
  • ✓Python + Node SDK + REST API
  • ✓Per-request metering (not time-based)
  • ✓Email support (24h response, business days)
  • ✓Overage: $3/GB residential · $6/GB mobile
Start with Solo

Best for

  • Solo researchers
  • Evaluation scripts
  • Prototype RAG

Team

Most popular

For AI startups and mid-size labs splitting capacity between training and evaluation.

$699/ month

or $6,710/year (save 20%)

500 GB residential · unlimited datacenter · 1,000 concurrent sessions

  • ✓Access to all 5 exit classes · 10 focus countries
  • ✓500 GB residential · unlimited datacenter
  • ✓25 static ISP IPs · 25 GB 4G mobile
  • ✓10 seats ($29/mo per extra seat) · 1,000 concurrent sessions
  • ✓City-level geo-routing + ASN targeting
  • ✓99.9% uptime SLA
  • ✓Priority Slack support (4h response, business hours)
  • ✓Python + Node SDK + REST API + webhooks
  • ✓Overage: $3/GB residential · $6/GB mobile
Start with Team

Best for

  • AI startups
  • Mid-size labs
  • Model eval teams

Lab

For academic labs, eval consortia, and frontier model companies running sustained workloads.

$2,999/ month

or $28,790/year (save 20%)

2 TB residential · unlimited DC · 50 GB 4G + 20 GB 5G · 3,000 concurrent sessions

  • ✓Access to all 5 exit classes · 10 countries on 4 continents
  • ✓2 TB residential · unlimited datacenter
  • ✓100 static ISP IPs · 50 GB 4G + 20 GB 5G mobile
  • ✓50 seats ($19/mo per extra seat) · 3,000 concurrent sessions
  • ✓Dedicated gateway lane (bypasses shared-pool queues on us-east-1 + eu-west-1)
  • ✓99.95% uptime SLA
  • ✓Dedicated Slack channel (1h response, business hours)
  • ✓Custom BGP prefix on request (additional fees apply)
  • ✓Overage: $2.50/GB residential · $5/GB mobile
Start with Lab

Best for

  • Academic labs
  • Large eval consortia
  • Frontier model companies

Enterprise

Custom contracts with dedicated infrastructure, volume pricing, and research-grade SLAs.

Custom pricing

Custom (from 5 TB/mo residential) · unlimited concurrent sessions

  • ✓Volume pricing from 5 TB/mo residential
  • ✓Dedicated BGP prefix + ASN announcement
  • ✓Unlimited concurrent sessions · unlimited seats
  • ✓99.99% uptime SLA with financial credits
  • ✓Named Technical Account Manager + 24/7 on-call paging
  • ✓Custom AUP, DPA, on-site deployment option
  • ✓Research / academic discount (30–50% off Team or Lab)
  • ✓Annual contract · wire, ACH, USDC/USDT/BTC settlement
Contact research team

Best for

  • Frontier labs
  • Eval consortia
  • Enterprise AI

All plans include 14-day refund, single endpoint with regional failover, HTTP(S) + SOCKS5 on every exit class, access to all 5 exit classes and all 10 focus countries, and Python + Node SDKs. Concurrent sessions = simultaneous TCP sessions through the gateway. Overage warnings fire at 80% and 100%; traffic continues only if overage billing is enabled on your account.

FAQ

Germany proxies FAQ

  • Which ASNs are in your Germany residential pool?
    Our Germany pool is sized against Deutsche Telekom (AS3320), Vodafone DE (AS3209), 1&1 Versatel (AS8881), with secondary coverage on the remaining carriers we list. ASN targeting is available on Team and up.
  • Can I target specific cities in Germany?
    Yes — city-level targeting is available via the X-Squad-City header, with a pool size appropriate to each city. Our largest Germany pools are in Berlin, Munich, Frankfurt.
  • What's the legal footprint of using your Germany proxies?
    Germany applies the EU AI Act and GDPR, both of which touch training- data collection directly. The Text and Data Mining exception in §44b UrhG (Urheberrechtsgesetz) permits scraping of lawfully accessible works for TDM purposes, subject to opt-out reservations under machine-readable `ai.txt` / `robots.txt` directives. Enforcement through Landgerichte in Hamburg, Munich, and Frankfurt has grown since 2024. Scraping PII-bearing content requires an Article 6 legal basis and an LfDI consultation is worth considering above industrial scale.
  • What latency should I expect to Germany targets?
    Regional edge latency to major Germany metros runs 40–90ms on ISP and 150–300ms on rotating residential. Mobile 4G/5G lands around 80–200ms depending on carrier and time of day.

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