AT&T · HNT & EPOCH VALUATION

Project earnings at market value.

Venue earnings modeled from epoch rewards and live HNT pricing.

MARKET EDITION · LIVE HNT

Epoch rewards × live HNT value

Standard epoch valueLoading…

HNT / USDLoading…

Selected epochSeptember 9, 2026

HNT valuation

Daily epoch inputs

Epoch date · UTC start

Deployer reward pool · HNT

Weighted rewardable GB

Recorded epoch USD / HNT

Use the actual deployer pool after policy allocations and its matching multiplier-weighted rewardable data. Do not substitute total raw network GB or a single venue's GB. Source snapshot: epoch 20705, September 9–10, 2026. Its denominator is inferred from Data Credits, not raw traffic.

Import daily epoch CSVDownload CSV template

Newest completed record is used. Imported values are user-supplied and are not independently verified.

Rate formula and source

Standard USD/GB = deployer pool HNT ÷ weighted rewardable GB × HNT/USD. Tier 3 = 1×, Tier 2 = 1.5×, Tier 1 = 5×, subject to granted eligibility. The network denominator stays fixed in these comparisons. AT&T volume eligibility is a separate input and is applied only once.

This reproduces the epoch valuation method in the source calculator. It is a network reward proxy used for AT&T projections, not an independently verified AT&T settlement feed. Live pricing revalues recorded HNT; it does not predict today's reward pool, guarantee a carrier floor, or alter past payouts. Annual projections hold the selected rate constant.

Market source: CoinGecko. Quotes older than five minutes pause live earnings until refreshed. Future carrier factors remain unconfirmed assumptions.

Your location

Venue type

Number of locationsIdentical traffic profile per location

Venue tier

Traffic & dwell

Projection basis

Average visits per dayUse a seven-day average, including quieter days.

Average dwell time

1 min8 hours

In-range visitor share (%)Visitors in offload coverage

Offload access pointsOptional · capacity estimate

Modeled days per month

Active months per year

Carrier coverage

AT&TIncludes FirstNetCurrentT-MobileFuture scenarioVerizonFuture scenario

100% connection assumed for eligible subscribers in range. AT&T defaults to 35% of visitors; the remaining 65% is split equally for planning.

Fine-tune assumptions +

Traffic calibration1.00 = unadjusted model

GB per dwell minute0.004 = 240 MB per hour

Staff handset GB / day

Adjacent handset GB / day

Operating hours / day or event

Active devices per AP

AP capacity is a planning assumption: APs × active devices × operating minutes × data usage. Additional APs help until traffic demand is met. Placement and backhaul can still limit results. Unknown AP count assumes sufficient capacity.

AT&T share (%)

T-Mobile share (%)

Verizon share (%)

T-Mobile settlement factor

Verizon settlement factor

1.00 assumes the same settlement as AT&T. Future carrier pricing is unconfirmed; each carrier is calculated separately. Demographic shares must total 100% or less.

ESTIMATED PARTNER EARNINGS

per month · annual average

Annual earning potential$0

Per location / month$0

Offloaded data / month0 GB

Room to grow

Monthly partner earnings by carrier scenario

Future scenarios use the demographic and settlement assumptions above, with the same network capacity.

Traffic sensitivity 50% to 150% of modeled demand

Earnings disclaimer. All earnings shown are projections and estimates informed by real-world data, a selected historical epoch and modeling assumptions, not a guarantee of income. Actual measured data takes priority over an estimate. Market pricing fluctuates; this version does not use guaranteed minimum-floor rates. Actual earnings depend on actual foot traffic, dwell time, carrier-defined venue tier, and applicable carrier rates. All locations are subject to carrier approval, including final tier classification. Future carrier scenarios are illustrative and subject to availability.

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A real-world reference

Behind the estimate

Model notes & research

How this projection works

Foot traffic × in-range share × dwell × handset usage, plus staff and adjacent usage, estimates demand. Carrier reach and optional AP capacity then determine offloaded data. All dollar outputs are your location's earnings after Hudson House's commercial terms.

The base model uses 30.4 days per month. Event venues use attendance and events, hotels use occupied guest-nights plus day visitors, and seasonal locations use active months. Monthly output is annual earnings divided by 12.

Preset foot traffic and dwell are illustrative planning inputs from Hudson House's proposal model, not measured averages for every venue type. New school, salon, laundromat, mall and station presets are explicit modeling assumptions.

The sensitivity range varies traffic only; it is not a statistical confidence interval or a guaranteed minimum. Extra carrier rates are assumptions, not offers.

Venue tier guide

Tier 1: Major airports and transit hubs, stadiums, arenas and large entertainment venues.

Tier 2: Dense commercial environments: casinos, resorts, regional malls, big box clusters, mid-sized transit, comparable hotels and healthcare. University and college presets use provisional Tier 2 from the supplied model.

Tier 3: Other non-residential commercial locations, including restaurants, small retail, offices and standalone big box stores. K–12 schools start at Tier 3; scale alone does not confirm Tier 2.

Tier 1 and 2 outcomes are modeled extrapolations. Public attendance and enrollment statistics do not establish carrier eligibility.

What the case studies tell us

Hudson House's September 1–9, 2026 study covers 418 earning locations and 420 access points. Its GB figures are already AT&T offload traffic. We use those volumes, not its historical dollar payouts, and reprice them using the selected epoch value, tier multiplier and partner terms.

Samples are dominated by restaurants. Other categories have as few as one location, and nine days do not capture a full seasonal cycle. The source does not include matching visitor counts or dwell times, so it cannot identify a reliable traffic calibration or AP uplift.

The observed-median mode holds measured volume fixed. Foot traffic mode remains a separate estimate; use the comparison to decide whether a pilot or measured Wi-Fi data is needed.

Sources: supplied Hudson House Earnings Calculator, Base Model and Carrier Wi-Fi Offload Earnings Benchmarks by Location Type, September 2026.

Research for larger venues 6 references

Examples to qualify and size an opportunity, not confirmed Hudson House prospects. Public totals are not automatically visits inside your Wi-Fi footprint. Reviewed September 11, 2026.

Venue / resource	Planning tier	What to use in the model
Denver International Airport ↗82,427,962 passengers in 2025	Tier 1 candidate	Use distinct visits in covered zones. Annual passenger movements may double-count connecting travelers; do not use airport-wide totals for a single concourse.
SoFi Stadium ↗Stadium capacity and event resources	Tier 1 candidate	Actual attendance per event, enabled seating areas, dwell and events per month. Seating capacity is an upper bound, not an attendance forecast.
University of Central Florida ↗70,674 enrolled in fall 2025; 7,068 online	Provisional Tier 2	Daily presence in covered buildings, excluding online-only students. Enrollment is not daily visits. Use an academic calendar and conservative capture.
Mall of America ↗Large retail and entertainment destination	Tier 2 candidate	Obtain operator footfall for the enabled common areas. Avoid summing store visits that count the same shopper repeatedly.
Walmart company facts ↗Global physical and online reach	Tier 3 store / Tier 2 cluster candidate	Company traffic includes eCommerce, so it cannot establish store footfall. Request door counts; qualify a dense cluster separately.
MTA ridership methodology ↗Station entry counts exclude exits and most transfers	Tier 1 major / Tier 2 mid-sized candidate	Use station-specific data and time in covered waiting areas. Network totals and train travel time are not on-site dwell.

K–12 schools: use the school's own attendance and phone-access policy, not total enrollment as connected traffic. No verified school-specific footfall source is built into the preset. Colleges follow the campus approach above.