Digicel or One: does the network matter?
ProxyField has 3,300+ Guyanese mobile IPs on GTT, Digicel & One (ex-GTT), E-Networks, Quark Communications and Vision Networks, over 5G, 4G and LTE, from $2.45/GB ($3.45/GB for 1 GB). For app screens, logins, forms and prices the network usually matters little; for fraud rules, rate limits and IP-reputation scores it can. The mobile IPs use the same gateway, protocols, targeting, sessions and balance as residential IPs.
Mobile carriers share each public IP among many phone users through carrier-grade NAT (CGNAT), so a site sees the carrier's network, not the handset. Each carrier announces its own address ranges under its own ASN, which is why a site's risk rules can score a Digicel IP and a One IP differently. Guyana's Public Utilities Commission reports separate mobile quality-of-service results for One Communications and Digicel (PUC 2024 Annual Report), and the networks are changing: on October 6, 2026 IDB Invest announced up to US$40 million in financing for One Communications, including "upgrading the mobile network to 4.5G/5G technologies" (IDB Invest). Results can therefore differ by carrier and over time. ProxyField publishes no per-carrier speed figures.
| Your test | Does Digicel vs One matter? |
|---|---|
| The app or site loads, logins, forms, ad placement, language and prices | Usually little: both are Guyanese mobile IPs |
| Fraud or risk rules, rate limits, payment checks, IP-reputation scores | It can: each carrier has its own IP ranges and ASN, and a site's rules may treat them differently |
| Latency, carrier-specific bugs, radio coverage, SMS, push notifications | A proxy can't reproduce these; test on a real Guyanese SIM and phone |
To see which network you got, read the org field of https://ipinfo.io/json through the proxy. The city shown for a mobile IP depends on how the carrier routes its traffic and on the geolocation database, so a mobile IP may show a different Guyanese city than you expect; trust country and org first. A test recipe for both networks:
- Open 10 sticky sessions on Guyanese mobile IPs (
<login>-country-gy-session-app01-ttl-3600toapp10) and record theorgof every IP. - Run the same flow (login, payment, the screen you test) on each IP and note pass or fail. A session without
ttllasts 20 min, and an IP idle for 120 s gets a new IP, so set attlthat covers your longest manual test and keep the app active. - Compare the Digicel IPs with the One IPs: if one group fails more often, your app or a rule behind it treats the networks differently.
- Repeat at another time of day before you conclude.
A result table you can copy (one row per session; the values are an example of the form, not a measurement):
| Session | org (network) | Login | Payment step | Your screen | Result | Time (UTC) |
|---|---|---|---|---|---|---|
| app01 | <org from ipinfo> (Digicel) | pass | pass | pass | pass | 2026-10-28 14:20 |
| app02 | <org from ipinfo> (One) | pass | fail | pass | fail | 2026-10-28 14:31 |
| … app10 |
Count passes per network: 5 of 5 on one network and 3 of 5 on the other is a difference worth a second run.