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Proxies · 8 min read · 7/25/2026

Proxy Uptime SLA: How to Read, Verify, and Compare Claims

A practical guide to interpreting proxy uptime guarantees, identifying weak SLA terms, and measuring real availability.

Proxy Uptime SLA: How to Read, Verify, and Compare Claims

A proxy uptime SLA defines the availability a proxy provider promises over a stated period and may specify compensation if service falls below that threshold. The headline percentage matters, but it does not tell you whether the guarantee applies to the entire network, a gateway, a specific location, or only paid enterprise plans.

To compare providers accurately, examine how uptime is calculated, which incidents are excluded, and whether service credits offer meaningful protection. You should also measure availability from your own infrastructure because an operational proxy gateway can still deliver poor results for your target websites.

What a proxy uptime SLA actually covers

A service-level agreement, or SLA, is a contractual commitment between a provider and its customer. For proxy services, availability is usually measured over a monthly billing period. A provider might advertise high uptime publicly, but only the terms in its contract or service agreement determine whether that figure is enforceable.

The covered component varies by provider. An SLA may apply to:

  • Access to the provider's gateway or endpoint
  • Authentication and account authorization systems
  • Datacenter proxy servers assigned to your account
  • A broader proxy platform or API
  • Specific regions, products, or enterprise plans

These are not equivalent. A reachable gateway does not guarantee that a residential peer is available in the requested city, that the exit IP can connect to your target, or that the target will accept the request.

Residential and mobile proxy networks are especially variable because exit devices can join and leave the pool. [Datacenter proxies](/blog/datacenter-proxies) are generally easier to monitor as fixed infrastructure, although routing problems, IP blocks, and overloaded servers can still reduce usable availability.

Uptime percentages translated into downtime

Small differences in an uptime percentage become more visible when converted into permitted downtime. Using a 30-day month, the approximate allowances are:

| SLA target | Allowed downtime per 30 days |

|---|---:|

| 99% | 7 hours 12 minutes |

| 99.5% | 3 hours 36 minutes |

| 99.9% | 43 minutes 12 seconds |

| 99.95% | 21 minutes 36 seconds |

| 99.99% | 4 minutes 19 seconds |

These calculations assume continuous measurement and no exclusions. An SLA can permit more practical disruption if scheduled maintenance, upstream carrier failures, denial-of-service attacks, customer configuration errors, or third-party outages are omitted from the calculation.

The measurement window matters too. Monthly uptime reveals short-term failures more clearly than an annual average. A provider could experience a significant outage in one month and still report a strong annual figure if the rest of the year was stable.

SLA uptime is not the same as proxy success rate

Uptime answers whether the covered service was available under the agreement's measurement rules. Success rate measures whether your proxy requests completed according to your criteria. Those criteria might include receiving an HTTP response, loading a full page, or completing a workflow without a block or challenge.

A proxy service can be online while requests fail because of:

  • Target-site IP blocking or rate limits
  • CAPTCHA and bot-management challenges
  • DNS resolution failures
  • Unavailable exit nodes in a narrow location
  • Session expiration or unintended IP rotation
  • Slow connections that exceed your timeout
  • Incorrect authentication or allowlist settings
  • Protocol incompatibility

Providers may also calculate success rates differently. Some exclude invalid requests, unsupported targets, timeouts caused by customer settings, or attempts that are automatically retried. Treat success-rate claims as directional unless the methodology, targets, timeouts, sample size, and failure definitions are disclosed.

For operational planning, track at least three metrics separately: gateway availability, connection success rate, and end-to-end task success rate.

How providers calculate proxy availability

A common availability formula is:

Availability = (total eligible time - eligible downtime) / total eligible time × 100

The difficult word is eligible. SLA terms determine which periods and events count. Before relying on a guarantee, answer these questions:

  • Where is availability measured? Provider-side probes may not detect a routing failure between your server and the proxy gateway.
  • How often is it checked? One-minute checks expose shorter incidents than five- or ten-minute intervals.
  • What counts as downtime? Complete gateway failure is a narrow definition. Severe latency, partial regional failure, or authentication errors may not qualify.
  • When does an incident begin? It could start with the first failed probe, several consecutive failures, or provider confirmation.
  • Are failed retries counted? Automatic retries can hide instability while increasing latency and bandwidth use.
  • Is availability measured per endpoint or globally? A healthy global average can conceal an unavailable country or subnet.

Look for a precise formula rather than language such as “up to 99.9% uptime.” The phrase “up to” is generally a performance claim, not a minimum contractual commitment.

SLA exclusions and remedies to inspect

Exclusions can determine whether the SLA has practical value. Common exclusions include planned maintenance, emergency maintenance, upstream network failures, force majeure events, attacks, customer-side errors, unsupported use, account suspension, and failures affecting third-party websites.

Some exclusions are reasonable, but broad wording can transfer most risk to the customer. Check whether maintenance requires advance notice and whether there is a cap on excluded maintenance time.

Most proxy SLAs provide service credits rather than cash refunds or compensation for business losses. Review:

  • Credit tiers for different levels of missed availability
  • Whether credits apply automatically or require a claim
  • The evidence and deadline required for a claim
  • The maximum credit as a percentage of the monthly fee
  • Whether credits expire
  • Whether the SLA is the customer's exclusive remedy
  • Contract termination rights after repeated failures

A credit does not restore failed jobs or compensate for lost revenue. For critical workloads, redundancy is more valuable than a generous credit schedule.

Proxy uptime SLA comparison checklist

Use this checklist when comparing provider terms:

| Item | Stronger provision | Warning sign |

|---|---|---|

| Commitment | Explicit minimum in the contract | Marketing claim only |

| Scope | Named products, endpoints, and regions | Undefined “network uptime” |

| Measurement | Published formula and short intervals | Provider discretion |

| Downtime | Includes partial and authentication failures | Only total platform failure |

| Maintenance | Advance notice and defined limits | Unlimited exclusion |

| Reporting | Public status history or downloadable logs | No incident history |

| Remedy | Clear, graduated, claimable credits | Vague case-by-case remedy |

| Repeated breaches | Termination or escalation rights | Credits as sole remedy forever |

| Support | Stated response and escalation times | Availability without support terms |

Also ask whether the agreement is standard or negotiable. High-volume customers may be able to negotiate regional commitments, faster escalation, dedicated gateways, or termination rights.

How to test proxy uptime independently

Run a trial from the same regions and cloud networks that will host your production workload. Testing from a laptop or a single monitoring location can miss peering and routing issues.

A practical test should:

  • Send requests at fixed intervals over several days or weeks
  • Test every required country, protocol, and gateway
  • Record DNS, connection, TLS, and response timings separately
  • Use a stable control endpoint alongside real target websites
  • Log HTTP status codes, timeouts, proxy errors, and retries
  • Measure both first-attempt and post-retry success
  • Track median and tail latency, such as the 95th percentile
  • Verify sticky-session duration when sessions matter

Do not intentionally overload the service or violate target-site terms. Use representative request rates agreed with the provider. A short trial cannot prove long-term uptime, but it can reveal recurring timeouts, regional gaps, and differences between advertised availability and usable performance.

For important systems, configure two providers with separate infrastructure and authentication. Test failover regularly; an unused backup integration may fail when it is finally needed.

FAQ

Is a 99.9% proxy uptime SLA sufficient?

It depends on the workload. A 99.9% monthly SLA permits roughly 43 minutes of eligible downtime in a 30-day month, before exclusions. That may suit non-urgent data collection with queues and retries, but time-sensitive automation may require redundancy rather than a higher percentage alone.

Does an SLA guarantee that proxy IPs will not be blocked?

No. Availability commitments generally cover access to the proxy service, not acceptance by a third-party website. IP reputation and target blocking should be evaluated through target-specific success tests and compliant usage practices.

Can I claim compensation after a proxy outage?

Only if the incident meets the SLA's definition of downtime and you follow its claim process. Providers commonly require logs, timestamps, account details, and submission within a limited period. The usual remedy is an account credit capped by the fees paid for the affected service.

Bottom line

A proxy uptime SLA is useful only when its scope, formula, exclusions, and remedies are explicit. Convert the promised percentage into downtime, distinguish gateway availability from end-to-end success, and test required locations from your production environment. For business-critical proxy traffic, combine contractual commitments with monitoring, retries, workload queues, and a tested secondary provider.

Benchmark data

Figures below come from our own provider tests — the same dataset behind our provider reviews.

Request success rate

Successful responses across 12 target sites (higher is better).

Bright Data99.2%
Oxylabs98.7%
Decodo98.1%
SOAX97.3%
Webshare96.4%
Rayobyte95.8%
Average response time

Median time to first byte in seconds (lower is better).

Rayobyte0.5s
Webshare0.6s
Bright Data0.7s
Oxylabs0.8s
Decodo0.9s
SOAX1.1s
Proxy type coverage

Share of tested providers offering each network type.

  • Residential29%
  • ISP29%
  • Datacenter24%
  • Mobile19%