SOAX

Very large stated pool — large residential and mobile counts with real carrier coverage. Self-reported, no audit. Strong for large-scale scraping workloads; not verifiable at enterprise level.

SOAX's network prioritizes validated IP quality over maximum pool volume — IPs are screened and removed when they show signs of being flagged or overused before accumulation reaches a scale where poor IPs dilute success rates. This deliberate quality-over-volume approach means the total available IP count is smaller than providers who maximize pool size without quality filtering. The trade-off is intentional: SOAX's position is that a smaller pool of higher-quality IPs produces better operational results than a larger pool with more quality variance, particularly for professional data collection workloads where failed requests have direct cost implications.

Residential and mobile are strong — large pools, real carrier coverage, broad geo. Datacenter is US-only. Not viable outside the US for datacenter use cases.

Residential and mobile proxies are both available with real-time pool monitoring applied uniformly across both proxy types. Mobile proxy coverage spans real carrier-connected devices across major mobile networks rather than simulated mobile environments or IP addresses labeled as mobile without actual carrier connectivity. The dual residential and mobile coverage serves teams whose scraping or verification use cases span both connection types from one platform. Real-time monitoring is applied to mobile pools alongside residential — mobile pool health is actively tracked and poor-quality mobile IPs are removed from rotation before they reduce aggregate success rates.

City and ISP targeting included on all plans — solid baseline. ASN targeting absent, Texas excluded due to regulatory constraints. Not ideal for full US coverage or network-level precision tasks.

Country and city-level targeting is available across both residential and mobile pools through standard proxy username parameter configuration. The quality-filtered pool means geographic targeting returns IPs that are actively validated and maintained at the claimed location rather than IPs from geographic distributions that may not reflect actual current availability after inactive or degraded IPs are removed. Tier 1 market depth is solid where quality filtering still leaves substantial pool size after validation. The quality filtering process that constrains total pool volume also constrains coverage uniformity in less-common markets where fewer quality IPs exist after filtering compared to the raw unfiltered pool.

Dashboard metrics for speed, failure rates, and banned IPs give operational visibility — useful for monitoring, not a guarantee. No uptime SLA, no success rate benchmark, no public status page. You can measure performance; you can't hold anyone accountable for it.

Real-time pool health monitoring is SOAX's primary operational differentiator — IP quality is evaluated on an ongoing basis rather than checked periodically or relied on historical patterns. IPs that show degraded performance or detection patterns are removed from active rotation before they reduce aggregate success rates. This produces fewer failed requests from poor IP delivery than pools that don't monitor quality in real time. Session success rates reflect the higher quality threshold applied to the pool relative to providers that maximize volume without ongoing quality verification.

Clear tiered monthly plans — easy to forecast costs. Locks you into monthly spend. Bad for testing or burst workloads where PAYG would be cheaper.

Pricing reflects both the quality-filtering operational overhead and the real-time monitoring infrastructure investment that SOAX applies to maintain pool health. Not the lowest cost in the category — the quality architecture carries a real cost premium over providers who maximize volume without active quality management or real-time monitoring. For teams where IP quality directly affects operational efficiency through reduced failed request rates and lower retry overhead, the premium can be economically justified by the reduction in wasted bandwidth and computational resources from failed requests at equivalent traffic volumes.

Multi-language API and dashboard with failure rates and banned IP tracking. Rate limits undocumented, team account management missing. Good visibility, but not fully production-ready for teams.

Standard HTTP/HTTPS authentication with targeting parameters for geographic and session configuration following industry-standard proxy parameter conventions. The real-time monitoring dashboard provides visibility into pool health metrics alongside standard usage statistics — teams can understand not just how much bandwidth they've consumed but what the quality characteristics of the IPs they're actually receiving look like during active scraping sessions. API access covers integration and account management. The monitoring interface provides more operational transparency into proxy pool behavior than standard proxy platforms that only expose usage statistics without quality signals.

Consent-based sourcing with GDPR and CCPA compliance is a positive baseline. SOC 2 and ISO 27001 in progress — not yet obtained. Trust profile is improving, not mature.

Residential sourcing follows opt-in peer-device models with standard consent mechanisms for participants who share their bandwidth. Mobile sourcing uses real carrier-connected devices that actively participate in the mobile network rather than simulated or virtualized mobile environments. Compliance documentation is available for standard business requirements without the formal certification stack that enterprise procurement processes sometimes require. SOC 2 certification and formal enterprise KYC verification processes are not available. The compliance posture is appropriate for mid-market business requirements where basic sourcing transparency is needed without formal certification.

24/7 support claimed, channels not specified, no SLA. No SLA and no channel list means support is unpredictable under pressure.

Technical support understands both the quality-monitoring architecture that differentiates SOAX and the standard proxy configuration and integration questions. Agents can interpret real-time pool health metrics alongside troubleshooting connection and performance questions, which is more contextually relevant than support teams that only see usage statistics without quality signals. Chat and ticket support covers standard integration issues and quality-related performance questions. Enterprise dedicated account management with SLA-backed response times is not standard at base plan tiers — teams with enterprise support requirements need to engage on higher-tier plans.