SOAX alternatives for AI-native workloads

SOAX is a UK-based residential proxy provider whose sourcing posture is among the more documented in the mid-tier market. For teams already on SOAX and looking for alternatives, the useful framing is: what workload characteristic is driving the search? This page covers the common answers.

What SOAX does well

• Published ethical-sourcing documentation — among the more detailed in the mid-tier segment
• Granular rotation controls — fine-grained session and rotation configuration for residential workloads
• Broad country coverage — 195+ countries claimed
• Mid-tier pricing — ~$6-7/GB entry residential, below premium tier

Where an alternative fits

1. AI-native workload framing. SOAX is general-purpose residential; alternatives that frame around AI workloads specifically fit better on header semantics, session shapes, and plan structure.
2. Gateway simplicity for per-class routing. SOAX's multi- class product surface involves separate endpoints; vendors with single-gateway header-based class routing reduce pipeline complexity.
3. Datacenter + ISP + mobile at parity. SOAX's strength is residential specifically; teams needing equal depth on datacenter + ISP + mobile often fit a multi-class vendor better.

The shortlist

SquadProxy (this site)

AI-native, 10-country focused, single-gateway with header-based class routing. Metered-residential + unlimited- datacenter pricing shape.

Fits when: AI workload (RAG, eval, training corpus), 10-country coverage sufficient, sub-10 TB residential per month, header- based class routing matters.

Doesn't fit when: need 30+ country coverage, >10 TB/month residential, workload not AI-specific.

Bright Data

Market-leader peer of SOAX at higher scale. See the Bright Data alternatives page for the detailed comparison framing.

Fits when: enterprise procurement, need Bright Data's Archive API or Unblocker specifically.

Oxylabs

Premium-tier peer of SOAX at higher scale. See the Oxylabs alternatives page.

Fits when: premium procurement, need OxyCopilot or bundled scraping tools.

Decodo (formerly Smartproxy)

Mid-tier alternative to SOAX with similar pricing envelope. See the Decodo alternatives page.

Fits when: mid-tier pricing, straightforward residential only, no specific ethical-sourcing requirement.

Comparison table

	SOAX	SquadProxy	Bright Data	Oxylabs	Decodo
Residential pool (claim)	155M+	4M+ (10-country focus)	150M+	100-177M	115M+
Countries	195+	10 focused	195+	195+	195+
AI-workload framing	Generic	Primary	Subset	Subset	Generic
Single-gateway class routing	Yes	Yes	No	Partial	Yes
Entry residential pricing	~$6-7/GB	Metered in plan	~$8.40/GB	~$8/GB	~$2-4/GB
Ethical sourcing documentation	Yes, strong	Yes, opt-in SDK	Yes, broad	Yes	Yes
Enterprise contracting	Mid	Emerging	Mature	Mature	Mid

Use-case fit

• Training corpus, 1-10 TB/month: SquadProxy or SOAX. SquadProxy wins on AI-workload framing; SOAX wins on broad country coverage.
• RAG ingestion with per-source class routing: SquadProxy. SOAX is residential-strong; RAG wants multi-class at parity.
• Ethical-sourcing-critical research: SOAX or SquadProxy. Both publish sourcing detail; SOAX has more market history.
• Budget-first: Decodo or IPRoyal (see Bright Data alternatives).
• Premium / enterprise: Bright Data or Oxylabs.

Frequently asked questions

Is SOAX significantly worse or better than the alternatives? It's a credible mid-tier provider. The decision to move is usually workload-shape-driven, not quality-driven.

Does migrating from SOAX require pipeline rewrites? Gateway shape is standard HTTP Basic + endpoint. Per-class routing model may differ slightly (SOAX uses distinct endpoints per class, SquadProxy uses headers). Migration is usually a small PR.

Bottom line

SOAX fits well for mid-tier residential work with strong sourcing provenance. AI-specific workloads, single-gateway routing, or workload shapes beyond residential often warrant an alternative — SquadProxy is one. The choice depends on your actual workload, not on SOAX being bad at its job.

For the AI-native framing, see RAG data collection, LLM evaluation, and the residential vs datacenter routing guide.