Every GeoComply vs Xpoint vs LocationSmart write-up online answers the same question: which engine catches the most spoofers? That is the wrong first question for a 2026 operator budget. The compliance team already knows all three will block a VPN. The finance team wants to know what each one actually costs per legal wager, what the bill looks like at 1 million versus 100 million checks a month, and how much a single false rejection quietly drains from lifetime value. Those numbers are almost never published, so almost nobody models them.
This comparison is built for that gap. We treat geolocation as a line item, not a feature checklist. You will find an industry-reported per-check pricing picture, a modeled total cost of ownership (TCO) at three real volume tiers, the hidden fees that never appear on a sales deck, the unit economics of a wrongly blocked depositor, and a procurement scorecard you can drop into an RFP. The accuracy and patent-war story still matters – we cover it in our companion 95% market-share and litigation breakdown – but here the lens is the spreadsheet.
One disclosure up front, repeated throughout: none of these vendors publish a public price list. Geolocation is a sales-led, deal-by-deal B2B contract. Every dollar figure below is an industry-reported estimate or an illustrative planning model, clearly labeled as such, drawn from operator-facing buyer guides, vendor public statements, and regulator filings from 2025 and 2026. Use them for relative comparison and budget framing – not as a quote.
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GeoComply vs Xpoint vs LocationSmart: The 2026 Cost Snapshot
Before the math, here is the shape of the market. GeoComply is the incumbent that powers roughly 95% of legal U.S. online sports wagers and is the regulator-default in most states – which is exactly why it can price at a premium. Xpoint is the funded challenger explicitly using price as a wedge. LocationSmart, now operating under the Locance brand, comes at the problem from carrier-network data and consent management rather than gaming-first device intelligence.
The cost story falls out of those positions. The market leader charges a premium and enforces monthly minimums; the challenger discounts to win logos; the carrier specialist offers a lower entry point but a narrower gaming footprint. The table below is the one-screen summary; the rest of the article is the evidence.
Who Should Shortlist Whom
- National multi-state Tier-1 operator: GeoComply for regulator-default coverage and the deepest spoof stack; price the minimums hard and negotiate volume tiers.
- Cost-sensitive challenger brand or new entrant: get Xpoint into the RFP specifically to anchor GeoComply’s quote downward.
- Operator already carrier-integrated or consent-sensitive: evaluate LocationSmart/Locance for the entry tier and first-class consent tooling.
At-a-Glance Comparison
| Dimension | GeoComply | Xpoint | LocationSmart / Locance |
|---|---|---|---|
| Founded / HQ | 2011, Vancouver BC | 2019, U.S. | 2008 lineage, Carlsbad CA (Locance brand) |
| U.S. sports-betting geo share (2026) | ~95% | Single-digit, growing | Minimal in gaming |
| Pricing model (reported) | Per-check + monthly minimum | Per-check, positioned below incumbent | Tiered per-API-call, low entry |
| Reported per-check range | ~$0.01–$0.05 | Positioned below GeoComply | Tiered, low-volume friendly |
| Reported monthly minimum | ~$5,000–$50,000 | Lower / flexible (deal-led) | Low entry tier |
| Primary detection | Device + GPS/Wi-Fi/IP fusion, GeoGuard | Device + network, Trust Mode (no plugin) | Carrier-network triangulation |
| Desktop browser plugin | Required (desktop) | Not required (Trust Mode) | Carrier-based, varies |
| Anti-spoof benchmark | GeoGuard ~99.6%, 310M+ IPs | Operator-data-driven | Carrier-grade location |
| Flagship clients | DraftKings, FanDuel, BetMGM, Caesars, Fanatics | bet365, PrizePicks, Sporttrade | Multi-industry; gaming secondary |
| State licensing footprint | NJ, PA, MI, MO + ~38 states/DC | ~19 states + Ontario approved (~13 live) | Select states; gaming not core |
| Add-on modules | Core, GeoGuard, IDComply, PinPoint, OneComply | Geolocation-focused suite | Consent management, device profiling |
| Best-fit buyer | Regulator-default, multi-state scale | Price-sensitive challengers | Consent-first, entry-volume |
Figures are industry-reported estimates and verified public facts; no vendor publishes a public price list.
How U.S. Gambling Geolocation Pricing Actually Works
You cannot compare three quotes until you understand the three billing models underneath them. A regulated sportsbook does not buy “geolocation” as a flat subscription. It buys a stream of Player Location Checks (PLCs), each of which is a billable event, wrapped in minimums, integration fees, and add-on modules. Misreading the model is how operators end up with a six-figure surprise after their first NFL season.
The Per-Check (“Per-Ping”) Model
GeoComply and most legacy vendors bill per location check. Every login, every periodic re-check during a session, and every pre-withdrawal hard gate fires a PLC, and each PLC carries a fee in the reported $0.01–$0.05 band. The critical word is every: a single engaged bettor on a Sunday slate can generate dozens of checks. Industry buyer guides put GeoComply’s per-check fee in that range, with the high end applying to smaller operators and the low end reserved for negotiated high-volume contracts.
The MTU / Per-User Model
A newer pricing philosophy bills per Monthly Tracked User (MTU) rather than per ping. Location platform Radar, a non-gaming-native challenger, popularized this model and claims it can save operators 50–90% versus per-check incumbents by allowing unlimited checks per device per month under one user fee. The takeaway is structural: in a per-check world, engagement is a cost; in an MTU world, engagement is free once the user is counted. For a high-frequency product like in-play betting, that divergence is enormous.
Integration, Minimums, and Professional Services
Layered on top of usage are the fixed costs: a one-time integration/professional-services fee, a monthly minimum commitment (reported at $5,000–$50,000 for GeoComply, scaling with operator size and number of states), and per-state activation work. The monthly minimum is the line most new entrants underestimate – it is a cost floor you pay even in a slow month, and it is the single biggest reason a price-sensitive brand should bring Xpoint into the conversation purely as negotiating leverage.
GeoComply Pricing and Total Cost of Ownership
GeoComply earns its premium honestly: ~95% of legal U.S. online sports wagers run through it, it is the named, licensed vendor at the major regulators, and its GeoGuard layer reportedly screens against 310M+ IP addresses at a ~99.6% anti-spoof rate. That dominance is also pricing power. When you are the regulator-default, you rarely have to be the cheapest.
Per-Check Fees and Monthly Minimums
The reported structure is per-check at roughly $0.01–$0.05, plus a monthly minimum in the $5,000–$50,000 range depending on size and state count. For a large operator running 100M+ checks a month, GeoComply is comfortably the most expensive option on raw usage – but it is also the one the compliance officer will never get fired for choosing. That asymmetry is the core of GeoComply’s TCO argument.
The Add-On Stack: GeoGuard, IDComply, PinPoint, OneComply
Geolocation is rarely a single line. GeoGuard (VPN/proxy/spoof detection) is often bundled or priced alongside the core check. IDComply layers KYC/identity, PinPoint adds precision location intelligence, and OneComply handles licensing workflow. Each module is a separate commercial lever. Operators frequently buy the bundle, which means the “geolocation” budget quietly absorbs identity and compliance spend – a point we treat in depth alongside our KYC vendor cost comparison, because the two budgets increasingly overlap on one contract.
The Compliance Carry
The invisible GeoComply cost is operational, not contractual: audit-log review, rule tuning per state, and the analyst hours spent reconciling flagged sessions. GeoComply’s evidence trail is excellent – which is precisely why regulators expect you to use it. Budget for the headcount that reads it.
Xpoint Pricing and Cost Position
Xpoint is the only one of the three openly running a price-disruption playbook. CEO Manu Gambhir – formerly of Thrive Gaming and Wynn’s New Jersey online operation – has been explicit that price is the wedge: “Pricing is a key part of what it’s going to take to be successful because up until now, GeoComply had the market to themselves.” That single sentence is the most useful procurement fact in this entire category, because it tells you the challenger wants to be your negotiating leverage.
Trust Mode and the No-Plugin Cost Saving
Xpoint’s Trust Mode removes the desktop browser plugin that GeoComply still requires on web. The cost angle is indirect but real: every plugin install is a support ticket waiting to happen and a conversion drop-off at the exact moment a depositor is trying to play. Removing it lowers the operational tail of geolocation – fewer “I can’t log in” tickets, fewer abandoned sessions – which is a genuine TCO line even if it never shows up on the invoice.
State Footprint and Named Clients
Xpoint reports approval across roughly 19 states plus Ontario, with around 13 live, and added a Massachusetts vendor license in 2026. Its named operator clients – bet365, PrizePicks, and Sporttrade – are credible logos that prove the engine clears regulators and handles real volume. The honest caveat: its footprint is still a fraction of GeoComply’s, so a national operator using Xpoint may still need GeoComply as a fallback in states Xpoint has not lit up, which reintroduces cost.
Where the Discount Is Real
Because Xpoint prices deal-by-deal and below the incumbent, its strongest cost case is a single-state or regional challenger brand where GeoComply’s monthly minimum dominates the bill. Swap a $50,000 minimum for a flexible, lower commitment and the annual delta is six figures before a single check is counted.
LocationSmart / Locance Pricing and Cost Position
LocationSmart, now operating as Locance out of Carlsbad, California, is the architectural outlier. Instead of gaming-first device intelligence, it leans on direct carrier connections and mobile-network triangulation, exposed through a single REST API, with consent management as a first-class feature. In gaming it is the smallest of the three, but its cost structure is the most newcomer-friendly.
Tiered Per-API-Call Entry
Locance’s model is tiered per-API-call with a low entry point, which suits low-volume operators and pilots that would be crushed by a $50,000 monthly minimum. The trade-off is breadth: gaming is not its core product, so its regulator footprint and gaming-specific spoof tooling are thinner than GeoComply’s. You buy a lower floor and accept a narrower ceiling.
Consent Management as Cost Avoidance
Locance’s consent tooling is a quiet cost-avoidance feature. Carrier-data location is regulated, and getting consent capture wrong is a compliance liability with real dollar exposure. Building that in-house – or retrofitting it onto a device-first vendor – is expensive. For operators in privacy-sensitive markets, native consent management is a line item you do not have to staff.
Best-Fit Cost Scenario
Locance/LocationSmart shines as a second source or a low-volume primary: a sweepstakes or social-casino operator, a regional launch, or a brand that wants carrier-data corroboration layered onto a device-first primary. As a sole vendor for a national sportsbook, its gaming footprint is the limiting factor, not its price.
Head-to-Head Spec and Feature Matrix
Cost is only defensible against capability. A cheaper vendor that fails a regulator audit is infinitely expensive. The matrix below pairs the commercial picture with the technical one so you are comparing TCO against equivalent coverage, not against a discount that quietly drops a compliance feature.
Detection Layers and Platform Support
| Capability | GeoComply | Xpoint | LocationSmart / Locance |
|---|---|---|---|
| Device integrity checks | Yes (deep) | Yes | Partial |
| GPS / Wi-Fi / IP fusion | Yes | Yes | IP + carrier focus |
| Carrier-network triangulation | No | Limited | Yes (core) |
| VPN / proxy / spoof detection | GeoGuard, ~99.6% | Yes | Carrier-grade |
| iOS / Android SDK | Yes | Yes | API-based |
| Desktop without plugin | No | Yes (Trust Mode) | Varies |
| Native consent management | Add-on | Standard | Yes (first-class) |
| KYC/identity module | IDComply | Partner-based | Partner-based |
| Audit / evidence logging | Extensive | Yes | Yes |
| Failover / multi-source | Internal multi-source | Operator-data assisted | Multi-carrier |
| Regulator-default status | Yes (most states) | Approved, growing | Limited in gaming |
| Public pricing | No | No | No |
Reading the Matrix for Cost
The cost lesson hides in two rows. GeoComply’s “No” on carrier triangulation and Locance’s “Partial” on device integrity are not weaknesses so much as different bets – and they are why serious operators increasingly run two vendors. A device-first primary plus a carrier-data secondary covers each other’s blind spots, and that architecture, not the cheapest single quote, is what survives a regulator’s worst-case scenario. If you are building that pipeline, our production GeoComply integration walkthrough shows the server-to-server verdict flow you will reuse for either vendor.
Modeled TCO at 1M, 10M, and 100M Checks per Month
Here is the section the buyer guides skip: an actual dollar model across three volume tiers. The numbers below are illustrative, built on the reported $0.01–$0.05 per-check band and $5,000–$50,000 minimums, with volume tiering applied (smaller operators near the top of the band, large operators near the bottom). They are planning assumptions for relative comparison, not quotes. The point is the shape of the curve, not a price you can hold a vendor to.
The Three Tiers
| Volume tier | Assumed per-check | Monthly check spend | Min/floor + add-ons (est.) | Est. monthly TCO | Est. annual TCO |
|---|---|---|---|---|---|
| Single-state startup – 1M checks | $0.040 | $40,000 | ~$8,000 | ~$48,000 | ~$576,000 |
| Mid multi-state – 10M checks | $0.022 | $220,000 | ~$25,000 | ~$245,000 | ~$2.94M |
| National Tier-1 – 100M checks | $0.011 | $1,100,000 | ~$60,000 | ~$1.16M | ~$13.9M |
Two things jump out. First, geolocation is a material P&L line at scale – a national operator’s annual geo spend rivals a mid-size engineering team’s payroll. Second, the per-check rate compresses faster than volume grows, which is why the incumbent’s volume discount is the real negotiation, not the headline rate.
A Reusable TCO Calculator
You can model your own curve in a few lines. Swap in your real negotiated rate once you have it: For broader market context, see our coverage of best sweepstakes casino sites.
def monthly_geo_tco(checks_per_month, per_check, monthly_minimum, addons=0.0):
usage = checks_per_month * per_check
# You pay the greater of usage or the contracted minimum, plus add-ons
billable = max(usage, monthly_minimum) + addons
return {
"usage": round(usage, 2),
"minimum_floor_applied": usage < monthly_minimum,
"monthly_tco": round(billable, 2),
"annual_tco": round(billable * 12, 2),
"effective_cost_per_check": round(billable / checks_per_month, 4),
}
# Single-state startup, near top of reported band
print(monthly_geo_tco(1_000_000, 0.04, 50_000, addons=8_000))
# National Tier-1, negotiated low rate
print(monthly_geo_tco(100_000_000, 0.011, 50_000, addons=60_000))
Where the Challenger Discount Lands
Apply a reported challenger discount – say Xpoint at 20% below the incumbent's per-check, or an MTU model that flattens engagement cost – and the annual delta at the 10M tier alone is roughly $500,000–$600,000. That is the entire commercial case for putting a second vendor in your RFP, even if you never switch: the quote you collect from the challenger is what moves the incumbent's number.
The Hidden Costs Nobody Quotes You
The contracted rate is maybe 70% of the real bill. The rest hides in operations, and it is where naive cost comparisons fall apart. A vendor that is 15% cheaper per check but triples your support tickets is not cheaper.
Re-Check Intervals and Session Multipliers
Regulators require periodic in-session re-checks, not just a login check. Depending on state rules, a single two-hour betting session can fire one check at login, several mid-session, and a hard gate before withdrawal. That multiplier – not the headline check count – drives your bill. Model checks-per-active-session, then multiply by sessions, or your forecast will be off by 3–5x.
Integration, Support Tickets, and the Plugin Tax
Desktop plugin friction generates support volume and conversion loss. Each "geolocation failed" ticket costs real money to resolve and may cost a deposit. This is precisely the line where Xpoint's no-plugin Trust Mode and Locance's carrier approach claw back some of GeoComply's premium – not on the invoice, but in the support queue and the funnel.
Multi-Vendor Failover and Licensing Fees
Running a primary plus failover doubles some fixed costs but de-risks an outage that could halt wagering during a Super Bowl. Add state vendor-licensing application and annual fees, which are paid per vendor per state. Two vendors across eight states is sixteen licensing relationships to maintain. The resilience is worth it for Tier-1s; for a single-state startup it is overkill that doubles the floor.
Audit Retention and Evidence Storage
Regulators do not just require geolocation checks – they require you to keep the evidence, often for years, in a form an auditor can query on demand. That append-only evidence trail is a recurring storage and access cost that scales with check volume: a national operator generating 100M checks a month accumulates an enormous compliance archive that must remain retrievable across multiple states with different retention rules. GeoComply's logging is thorough precisely because regulators expect it, which means the storage, indexing, and retrieval tooling around it is a line item you own regardless of which vendor you pick. Cheaper per-check pricing does not reduce this obligation – if anything, a thinner vendor leaves more of the evidence-management burden on your own infrastructure budget.
The Real Price of a False Rejection
Here is the cost line that dwarfs per-check fees and that no vendor will ever put in a deck: the legitimate, in-state, fully-eligible player who gets wrongly blocked. GeoComply reports a ~99% pass rate, which sounds excellent until you do the arithmetic on the other 1%.
The Unit Economics of a Blocked Depositor
A blocked legitimate player does not just lose one wager. They lose the deposit, the session, and – frequently – the relationship. If the average sportsbook player is worth several hundred dollars in lifetime gross gaming revenue, a false-rejection rate that is even a few tenths of a percent higher on a cheaper vendor can erase the entire per-check saving. This is the math that makes "cheapest" and "best value" different words.
def false_rejection_cost(monthly_logins, false_reject_rate, churn_on_reject, ltv):
blocked = monthly_logins * false_reject_rate
lost_players = blocked * churn_on_reject
return {
"blocked_sessions": round(blocked),
"players_churned": round(lost_players),
"monthly_ltv_lost": round(lost_players * ltv, 2),
"annual_ltv_lost": round(lost_players * ltv * 12, 2),
}
# 2M logins/mo, 0.4% false-reject, 25% of those churn, $400 LTV
print(false_rejection_cost(2_000_000, 0.004, 0.25, 400))
# -> ~8,000 blocked, ~2,000 churned, ~$800k/mo, ~$9.6M/yr at risk
Why the Premium Vendor Often Wins on Total Value
Run the model and the conclusion is uncomfortable for cost-cutters: at scale, a 0.2-point improvement in false-rejection rate is worth far more than a penny off the per-check fee. This is the strongest part of GeoComply's premium case and the reason regulators-default to it. The flip side: if a challenger can match the false-rejection rate at a real discount, the saving is pure margin. That is the single most important number to extract during a proof-of-concept – and almost nobody asks for it.
State Vendor Licensing Costs: NJ, PA, MI, and Missouri
Geolocation cost is not only commercial; it is regulatory. Each state licenses geolocation vendors and operators separately, with application and annual fees, and the vendor must be approved before a single legal check fires. This is a real, recurring cost and a gating timeline that affects which vendors you can even consider.
The Established Three: New Jersey, Pennsylvania, Michigan
New Jersey's Division of Gaming Enforcement (nj.gov/oag/ge) set the template that other states followed, and GeoComply has been the de facto standard there since the post-2018 expansion. Pennsylvania's Gaming Control Board (gamingcontrolboard.pa.gov) and the Michigan Gaming Control Board (michigan.gov/mgcb) maintain their own vendor-licensing regimes for both online sports betting and iGaming. A vendor approved in all three is table stakes; a challenger still working through approvals is a timeline risk, and timeline is money.
The Newest Market: Missouri, December 2025
Missouri became the 39th legal sports-betting state when wagering went live at 12:00 a.m. on December 1, 2025, regulated by the Missouri Gaming Commission. GeoComply was the licensed geolocation provider at launch and recorded 2.6 million geolocation checks with over 250,000 active accounts in the first 24 hours, climbing to roughly 18.5 million checks and 520,000+ accounts in week one. That single launch is a real-world demonstration of both the volume a new state generates and the cost of being on the wrong side of a vendor's approval timeline.
Why Footprint Drives Cost
The licensing map is why GeoComply can hold its premium: it is approved nearly everywhere, so an operator never has to wait. A challenger that is cheaper in 13 states but absent in the state you are launching next quarter forces you to run two vendors anyway – and two vendors means two licensing bills, two integrations, and the failover cost we modeled earlier.
Five Real-World Cost Test Scenarios
Abstract per-check rates mean nothing until you map them to an operator profile. Below are five scenarios that cover the realistic spread of the U.S. market, each with the cost-driven recommendation. For broader market context, see our coverage of leading online casino sites.
Scenario 1: Single-State Startup Sportsbook
A regional brand launching in one state at ~1M checks/month is dominated by the monthly minimum, not usage. GeoComply's reported $50,000 floor can exceed actual usage. Cost winner: Xpoint or Locance, where a lower or flexible minimum can halve the annual floor. Bring GeoComply's quote anyway to confirm regulator-default coverage.
Scenario 2: National Multi-State Tier-1
A DraftKings/FanDuel-class operator at 100M+ checks needs every state lit up, the deepest spoof stack, and zero regulator friction. Cost winner: GeoComply, but only after hard volume-tier negotiation – the difference between $0.015 and $0.011 per check is millions a year. A carrier-data secondary for failover is justified at this scale.
Scenario 3: Sweepstakes / Social Casino
Sweepstakes and social operators face a patchwork of state rules and tighter margins than real-money books. They need defensible location and consent without the full real-money spoof arsenal. Cost winner: Locance's tiered entry plus consent management. For operators building the broader compliance stack, our real-time AML transaction monitoring pipeline pairs naturally with a lighter geolocation layer to keep total compliance cost proportionate to the model.
Scenario 4: Daily Fantasy Sports Operator
DFS operators like the named Xpoint client PrizePicks live in a different regulatory class than sportsbooks but still need state-boundary enforcement. Engagement is high and margins are thin, making per-check costs painful. Cost winner: Xpoint, whose pricing wedge and operator-data approach target exactly this profile, or an MTU-style model if engagement-cost is the binding constraint.
Scenario 5: Ontario / Cross-Border iGaming Expansion
An operator expanding into Ontario's iGaming market needs a vendor already approved north of the border. All three have Canadian relevance, but GeoComply's no-download browser solution and Xpoint's Ontario approval are the credible paths. Cost winner: depends on existing U.S. contract – extending an incumbent relationship usually beats standing up a new vendor for one market.
Benchmarks From the Field
Three independent data points anchor the accuracy-versus-cost trade-off, drawn from regulator-adjacent reporting, vendor-published volume data, and challenger pricing claims.
Volume and Pass-Rate Benchmarks
GeoComply's Missouri launch (2.6M checks day one, ~18.5M week one, per Legal Sports Report and GeoComply) and its reported >1 billion checks per month across the portfolio establish the volume baseline. Its ~99% transaction pass rate and GeoGuard's ~99.6% anti-spoof rate against 310M+ IPs are the accuracy baseline every challenger is measured against. Super Bowl weekends, which the American Gaming Association tracks for legal-market handle, routinely push GeoComply past 100M transactions in a weekend – the stress test that justifies the premium.
The Pricing-Model Benchmark
Radar's public claim that its MTU model saves operators 50–90% versus per-check incumbents is the clearest external benchmark on cost structure. Even discounting the marketing, it quantifies the engagement-cost penalty of the per-check model and explains why high-frequency operators should price both models, not just both vendors.
The Challenger-Pricing Benchmark
Gambhir's on-record statement that pricing is Xpoint's primary wedge is itself a benchmark: it confirms the incumbent's premium is real and negotiable, and that a credible challenger quote is the lever. There is no published Xpoint or Locance per-check number – and any article that gives you one is guessing.
Beyond the Standard Coverage: What the Buyer Guides Leave Out
The existing top-ranking content on this topic falls into two buckets, and both leave the same holes. The patent-litigation coverage (cdcgaming, Canadian Gaming Business, Patsnap) is short, accurate, and entirely about the courtroom – useful context, zero procurement value. The one substantial operator buyer guide (track360, ~4,200 words) does include a TCO section, but it is a single-point estimate inside an affiliate-platform narrative, not a modeled curve. None of them give you the following, which is exactly why this comparison exists.
The Gaps This Article Closes
- A modeled TCO curve at multiple volume tiers – not one "geolocation is expensive" sentence, but 1M/10M/100M math you can adapt.
- The per-check-versus-MTU pricing-model divergence – the structural cost difference that matters more than any single rate.
- False-rejection unit economics – the LTV math that often outweighs the entire per-check saving.
- Hidden operational costs – re-check multipliers, plugin support tax, failover, and per-state licensing fees.
- A procurement scorecard – a weighted, reusable RFP framework instead of a marketing verdict.
The Cost of the Litigation Risk
One genuinely cost-relevant fact does come out of the patent saga: GeoComply's anti-spoof patent was invalidated, with the Federal Circuit affirming in November 2024 that using multiple sources to verify location is a "longstanding business practice." For buyers, the takeaway is not the courtroom drama but its consequence – the legal moat is gone, which is exactly why challengers can now compete on price. The litigation outcome is, in effect, the reason this cost comparison is worth running in 2026 at all. The full timeline lives in our companion compliance-stack coverage for teams building the adjacent mobile KYC layer.
Negotiation Levers That Move the Geolocation Price
The reported rates above are starting points, not destinations. Because every contract is bespoke, the gap between a naive operator's bill and a sophisticated one's can be 30% or more on identical volume. These are the levers that actually move the number in 2026, now that the incumbent's patent moat is gone and a credible challenger quote is on the table.
Volume Tiers and Commitment Terms
The single biggest lever is the volume tier. Per-check rates compress steeply with committed volume, so the negotiation is not "what is your per-check fee" but "what is the rate at 10M, 50M, and 100M committed checks, and where does the next break sit." Multi-year commitments and pre-committed minimums buy further discount. The trap is over-committing: a minimum sized for your optimistic forecast becomes dead weight in a slow quarter, so size it to your floor, not your hopes.
Unbundling the Add-On Stack
Vendors prefer to sell the bundle – geolocation plus VPN detection plus identity plus licensing workflow – because it raises switching costs and obscures the per-component price. Force an itemized quote. You may find the core check is competitive but the add-ons carry the margin, in which case sourcing identity from a dedicated KYC vendor is cheaper. This is where collecting a parallel quote during your KYC procurement pays off, because it exposes what the geolocation vendor is really charging for the identity layer.
POC-Based and Outcome-Based Pricing
The most advanced operators tie price to outcomes measured in a proof-of-concept: false-rejection rate on live traffic, spoof catch rate, and support-ticket volume. If a challenger can match the incumbent's false-rejection rate at a real discount, that POC data is your leverage to either switch or compress the incumbent's quote. Insist the POC measure the metrics that drive total cost, not just the ones that look good on a slide.
RFP Scorecard and Procurement Recommendations
Translate everything above into a decision. The scorecard below is weighted for a typical multi-state operator; adjust weights for your profile – a single-state startup should weight "monthly minimum" far higher, a Tier-1 should weight "state coverage" and "false-rejection rate" higher.
Weighted Procurement Scorecard
| Criterion | Weight | GeoComply | Xpoint | LocationSmart / Locance |
|---|---|---|---|---|
| State / regulator coverage | 25% | 5/5 | 3/5 | 2/5 |
| Per-check / usage price | 20% | 2/5 | 4/5 | 4/5 |
| Monthly minimum flexibility | 15% | 2/5 | 4/5 | 4/5 |
| False-rejection / accuracy | 20% | 5/5 | 4/5 | 3/5 |
| Operational tail (plugin, support) | 10% | 3/5 | 4/5 | 4/5 |
| Consent / privacy tooling | 10% | 3/5 | 4/5 | 5/5 |
| Weighted total | 100% | 3.7 | 3.75 | 3.35 |
The Data-Driven Verdict
Read the scorecard honestly and the result is not a blowout – it is a near-tie at the top, which is itself the headline. For a national multi-state operator, GeoComply remains the default: its coverage and accuracy carry the weighted criteria, and at Tier-1 volume the per-check premium is negotiable. For a cost-sensitive challenger, DFS operator, or single-state launch, Xpoint edges ahead on the weighted total precisely because price and minimum flexibility matter more to that profile – and Gambhir's pricing strategy is built for it. For a consent-first or low-volume operator, LocationSmart/Locance's entry tier and privacy tooling win despite the thinner gaming footprint.
The One Move Every Buyer Should Make
Whatever your profile, run a real proof-of-concept that measures false-rejection rate on your traffic, and collect a challenger quote even if you intend to stay with the incumbent. The false-rejection number tells you the true cost, and the challenger quote is the only thing that moves the incumbent's price now that the patent moat is gone. Doing both turns a premium contract into a negotiated one – and that, not the headline per-check rate, is where the money is.
Frequently Asked Questions
How much does GeoComply cost per check in 2026?
No public price list exists, but industry buyer guides report a per-check fee of roughly $0.01–$0.05, with the high end for smaller operators and the low end for negotiated high-volume contracts, plus a monthly minimum reported at $5,000–$50,000. Treat these as planning estimates, not quotes.
Is Xpoint actually cheaper than GeoComply?
Xpoint positions itself below the incumbent and CEO Manu Gambhir has stated pricing is its primary competitive wedge. There is no published Xpoint per-check rate, but its strongest cost case is for single-state or cost-sensitive operators where GeoComply's monthly minimum dominates the bill.
What is the difference between per-check and MTU pricing?
Per-check ("per-ping") billing charges for every location check, so engagement is a cost. MTU (Monthly Tracked User) billing charges per user per month with unlimited checks, so engagement is free once counted. Challengers like Radar claim MTU saves 50–90% for high-frequency operators.
Why does a false rejection cost more than a per-check fee?
A wrongly blocked legitimate player can lose the deposit, the session, and the lifetime relationship. At typical sportsbook LTVs of several hundred dollars, a fractionally higher false-rejection rate can erase the entire per-check saving – which is why accuracy, not headline price, drives true total cost.
Is LocationSmart the same as Locance?
LocationSmart now operates under the Locance brand from Carlsbad, California. It uses direct carrier connections and mobile-network triangulation with first-class consent management, exposed through a single REST API. Its gaming footprint is smaller than GeoComply's, but its entry pricing is the most newcomer-friendly of the three.
Which vendor is licensed in New Jersey, Pennsylvania, and Michigan?
GeoComply is the de facto standard and is licensed across New Jersey (DGE), Pennsylvania (PGCB), and Michigan (MGCB), plus most other regulated states. Xpoint is approved in roughly 19 states plus Ontario with about 13 live; LocationSmart/Locance's gaming licensing is more limited.
How many geolocation checks does a sportsbook actually generate?
Far more than logins. Regulators require periodic in-session re-checks plus a pre-withdrawal gate, so a single session can fire many checks. Missouri's December 2025 launch produced 2.6 million checks in 24 hours and ~18.5 million in week one across the market – model checks-per-session, not just users.
Should an operator use more than one geolocation vendor?
For national Tier-1 operators, yes – a device-first primary plus a carrier-data secondary covers blind spots and de-risks an outage during peak events. It doubles some fixed and licensing costs, so for single-state startups a single well-chosen vendor is usually the better economic call.







