5 Questions to Ask Before Choosing a BetTech Provider

Choosing the wrong BetTech provider can cost you millions. You'll face delayed launches, missed compliance deadlines, data gaps that kill user experience, and revenue leakage you won't see until it's too late. Yet publishers, operators, and rights holders often make this decision based on demo calls, glossy pitch decks, and which vendor responds fastest to emails.

The BetTech market is fragmented. Vendors claim expertise in verticals they barely understand. Some offer breadth but zero depth. Others specialize so narrowly they can't scale beyond day one. Price models are opaque. Integration timelines are fantasies. And almost nobody is honest about what happens when you need to change vendors later.

This article cuts through that noise. We've built an evaluation framework used by dozens of B2B buyers across sports betting, iGaming, exchanges, and rights holders. It's based on real vendor comparisons, failed implementations, and hard-won lessons from operators who've made these choices before.

The five questions below don't cover everything—but if you get these wrong, nothing else matters.

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Question 1: How Reliable and Complete Is Your Data Coverage?

Data is the foundation of any BetTech operation. If your feeds are incomplete, stale, or unreliable, your entire monetisation engine breaks down. Yet this is where most vendor evaluation falls apart.

What you need to understand:

BetTech providers ingest odds, results, and live data from multiple sources—exchanges, sportsbooks, trading desks, and proprietary feeds. The quality of that data determines everything downstream: your odds pricing, settlement accuracy, user experience, and compliance auditability.

Ask these sub-questions:

• How many price updates per day does your data include across major sports? For major football/soccer markets, you should expect 100,000+ price changes daily. If a vendor claims they're processing thousands per day, they're either cherry-picking markets or running outdated infrastructure. Top-tier providers process 125+ million price changes monthly across global markets. This isn't vanity—it's the difference between stale odds and real-time pricing.

• What's your data latency? Latency (delay between a price moving and you receiving it) should be measured in milliseconds, not seconds. If there's a 10-second delay in critical matches, your users will hunt for better odds elsewhere. Ask for specifics: Are we talking about live odds in 50ms or settlement data in 2 hours? They're different problems.

• How many sports, leagues, and event types do you cover? The obvious answer is "all of them," but what does "coverage" actually mean? Do they have pricing for second-division Bulgarian league football? What about esports, horse racing, or futures markets? Understand the granularity. Some vendors will say they cover "50+ sports" but have deep data only in the top three.

• What happens during high-impact moments? Injuries, red cards, weather suspensions, trading halts—these are exactly when feeds fail. Ask for recent examples. How did their platform handle the last World Cup final? A major stock market shock? Did they lose data? Slow down? Go dark? Get specifics.

• How do you aggregate data from multiple sources? Sports data comes from different places: betting exchanges have real-time odds, sportsbooks have adjusted odds, bookmakers have their own lines. Smart vendors don't just take one source—they combine them to triangulate truth. Ask whether they're running multi-source aggregation or relying on a single feed with fallbacks.

• What does your backup and redundancy look like? If a vendor's primary data feed goes down, how quickly do they switch to backups? Is it automatic or manual? Are backups in different geographic regions? For compliance and operational reasons, you need to know.

• How do you handle data corrections and amendments? Sometimes a result is initially recorded wrong. A match is abandoned. Odds need to be rolled back. Ask how they handle amendments and historical corrections. This matters hugely for compliance and settlements.

Red flags:

• "We cover all major markets" without specifics on event volume
• Latency measured in seconds, not milliseconds
• Vague answers about data sources or aggregation
• No examples of how they handled recent market disruptions
• Single points of failure in their data infrastructure
• No clear process for historical corrections

What good answers look like:

• Concrete numbers: "We process X price changes daily, with 99.99% uptime SLA"
• Specific latency commitments: "Live odds in <100ms, results in <5 minutes"
• Multi-source aggregation: "We normalize odds from 8+ exchanges and 20+ sportsbooks"
• Recent proof: "During the 2026 Champions League final, we maintained 99.98% uptime with sub-50ms latency"
• Redundancy details: "Geographic distribution across 4 regions, automatic failover in <2 seconds"

How FairPlay approaches this: We process 125+ million price changes monthly across 45+ regulated markets, 6+ sports, and 150+ leagues. Our data comes from multiple exchanges and sportsbooks, auto-normalized to eliminate arbitrage confusion. Latency averages 45ms for live odds and <2 minutes for results. Redundancy is built in—every piece of data has fallbacks. We've maintained 99.99% uptime for three years straight.

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Question 2: What's Your Compliance Infrastructure Really Like?

Betting is heavily regulated. Every market has different rules. A compliance failure doesn't just mean fines—it means you get kicked out of markets, blocked from payments, or shut down entirely.

Most BetTech vendors position compliance as a checkbox. They shouldn't. Compliance should be baked into architecture, not bolted on afterward.

What you need to understand:

Betting regulation varies wildly by geography. The UK has one rulebook, Germany another, Spain another. Some markets require specific data formats. Others demand audit trails. Some have monthly reconciliation requirements. Some prohibit certain bet types entirely.

A vendor that claims to be "compliant in 20 countries" is doing one of three things: (a) they're only really compliant in 2-3, and hope you don't audit closely; (b) they've got boilerplate documentation that doesn't translate to actual controls; or (c) they're serious, and you'll see it in their architecture and evidence.

Ask these sub-questions:

• How do you operationalize compliance for different jurisdictions? Compliance isn't just policy—it's systems. Does your platform automatically enforce UK betting limits? Does it know the Dutch tax rules? Can you turn on German age verification? Ask how they actually implement jurisdiction-specific rules, not just document them.

• What's your audit trail capability? Regulators want to see every decision: who logged in, what changed, when, why. Some platforms have audit trails as an afterthought. Ask: Can you export a complete audit trail for any bet, from creation through settlement? Can you do it for a single user or a million users? How far back does it go?

• Do you have mandatory responsible gambling controls built in? Limits (daily, weekly, monthly, session), self-exclusion, cooling-off periods, reality checks—these aren't optional. Ask whether these are hard-coded into their system or whether you need to manually implement them per market. If it's manual, you'll miss requirements and face fines.

• How do you handle KYC/AML? Know-your-customer and anti-money-laundering are critical. Some vendors don't touch this at all—they expect you to handle it. Others provide integrations. Some have built-in tools. Understand what you're responsible for vs. what they handle.

• What's your approach to problem gambling detection? Top vendors use behavioral analytics to flag risky patterns—sudden deposit increases, rapid bet escalation, time spent. Is this built in or third-party? Is it reactive (responding to rules) or predictive (spotting patterns)? Regulators increasingly expect this.

• How do you stay current with regulation changes? Betting rules change frequently. Does the vendor have a dedicated compliance team? Do they publish quarterly updates on regulatory changes? Can you request custom rules for a new market? The best vendors have compliance ops, not just compliance documentation.

• Show me your compliance documentation for [specific market]. Request detailed policies for a market you care about. Don't ask for general compliance docs—ask for specifics. How does your system enforce Irish betting tax? How do you handle UK GAMSTOP integration? Real answers will be detailed and technical. Vague answers mean they're not serious.

• What's your relationship with regulators? Have they been audited by gaming authorities? Do they appear on licensed vendor lists? Some vendors can show direct engagement with regulatory bodies. Others can't. The first group is safer.

Red flags:

• "We're compliant everywhere" without specifics
• Compliance is a separate layer, not built into core systems
• No dedicated compliance team or chief compliance officer
• Vague answers about jurisdiction-specific rules
• No audit trail or audit trail is limited to recent months
• Problem gambling controls are manual/spreadsheet-based
• Compliance documentation is boilerplate

What good answers look like:

• Compliance is architected into the platform: "Every market has jurisdiction-specific rule engines that enforce limits, verification, and reporting"
• Detailed audit capabilities: "Complete immutable audit trail for 7 years, queryable by user/bet/time/action"
• Automated controls: "UK GAMSTOP integration, German session limits, Spanish tax reporting all automatic"
• Regulatory relationships: "Licensed by [specific authority], used by [regulated operator], audited by [Big 4 firm]"
• Dedicated team: "Chief Compliance Officer + 6-person ops team monitoring 12 regulated markets"
• Regular updates: "Quarterly regulatory landscape reports, 30-day implementation window for rule changes"

How FairPlay approaches this: Compliance is baked into our architecture, not an add-on. We operate in 20+ regulated markets and have built jurisdiction-specific rule engines for each. Our audit trail is immutable, comprehensive, and queryable—7-year retention standard. We employ a Chief Compliance Officer and a dedicated team monitoring regulatory changes across all markets. We've been audited by major gaming authorities and appear on licensed vendor lists. Our responsible gambling suite is fully automated, including behavioral pattern detection.

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Question 3: How Flexible and How Fast Is Integration?

You need to get live quickly. But integration should never be at the expense of stability, security, or maintainability.

Many vendors offer two options: (a) slow, perfect integration that takes 6+ months; or (b) rapid integration that creates technical debt you'll pay for years. The best vendors offer both.

What you need to understand:

Integration means connecting your systems to theirs. This includes: API connections, data pipelines, UI integration (odds display, bet slip, etc.), payment rails, and operational workflows (settlement, reporting).

The speed and ease of integration depends on architecture, documentation, and the vendor's willingness to customize. Some vendors have pre-built connectors. Others expect you to build from scratch. This difference is huge.

Ask these sub-questions:

• Do you offer pre-built connectors for [my tech stack]? If you're on Salesforce, Shopify, or a major CMS, do they have native integrations? If you're on custom infrastructure, will they help? Be specific about your tech. Generic "yes, we integrate with everything" answers are useless.

• What's your integration model: API, SDK, or managed service? API means you build. SDK means they give you libraries. Managed service means they do it. Understanding the model tells you who owns integration complexity. Some vendors offer all three. That's a strength.

• What does your API documentation look like? Ask to see it. Is it 20 pages of vague descriptions or 200 pages of detailed, code-level specs? Do they have working code examples? Can you test against a sandbox? The quality of documentation directly predicts integration speed.

• Do you have a zero-code option? Not everyone can build APIs. Some vendors offer no-code configuration (you change settings in a UI, they build the connection). This is powerful for getting non-technical teams to go live fast. Ask if this exists and what it covers.

• What's your typical integration timeline? Get a specific number, not a range. "2-4 months" is not an answer. Is it 4 weeks for a simple partnership or 12 weeks for a complex build? What determines the timeline? What are the variables? If they can't pin this down, they're not managing implementations well.

• Who owns what in integration? You need to understand: What does the vendor build? What does your team build? What's shared responsibility? Poor integration projects fail because accountability is unclear. Ask them to sketch out the integration flow with clear ownership at each step.

• How do you handle changes during integration? You'll want to change requirements. Does the vendor have a change request process or does every request create a new timeline? Are changes included in the initial quote or charged separately? This matters hugely for post-implementation relationships.

• What testing and staging environment do you offer? Can you test everything in a staging environment before going live? Can you replay production scenarios? Do they have test data? The more sophisticated the testing environment, the more confident you should be.

• What happens after go-live? Do they stick around for a transition period? Is there a post-launch support phase? Some vendors disappear after launch; others stay embedded for 90 days. The second group tends to have fewer problems because they're accountable.

Red flags:

• "Integration typically takes 2-3 months" (vague)
• No pre-built connectors and no clear API docs
• "You can build whatever you need" (puts all complexity on you)
• No testing environment or limited testing capability
• Change requests during integration cause scope creep
• No post-launch transition period or support

What good answers look like:

• Multiple paths: "API for custom builds (2-3 weeks), SDK libraries (1-2 weeks), managed service (3-4 weeks), no-code config (3-5 days)"
• Detailed documentation: "500+ page API reference, 50+ code examples, interactive sandbox, 4-hour average implementation time per endpoint"
• Clear ownership: "You own [X], we own [Y], we collaborate on [Z]. This is formalized in our implementation plan"
• Testing rigor: "Full production replica environment, test data generator, automated test scenarios, 2-week testing period included"
• Post-launch: "Dedicated integration engineer for 90 days post-launch, daily standups first two weeks, weekly check-ins thereafter"

How FairPlay approaches this: We offer three integration paths. API for custom builds (typically 2-3 weeks for full connectivity), SDK libraries for faster development (1-2 weeks), and a managed service option where our team handles integration (3-4 weeks). We also have a zero-code UI builder that lets non-technical teams go live in days. Our API documentation is comprehensive (600+ pages with working code in 5+ languages). Our testing environment is a full production replica with test data generation. We include a dedicated integration engineer through launch plus 90 days of post-launch support.

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Question 4: Is the Commercial Model Transparent and Aligned With Your Success?

Pricing is where relationships break down. Vendors obscure costs. Change terms. Surprise you with true-up calculations. Misaligned incentives create friction from day one.

The best vendors have pricing that's simple, visible, and aligned with your success.

What you need to understand:

BetTech vendors typically charge in one of three ways: (a) revenue share (percentage of your betting revenue); (b) usage-based (per-API call, per-bet, per-user); or (c) flat fees (monthly/annual). Most use hybrids.

The problem is the details. What's included in the base price? What triggers add-on costs? How is usage calculated? Are there minimums? Maximums? Escalating tiers? True-ups?

Ask these sub-questions:

• Lay out your complete pricing model in writing. Not a slide deck. Not a conversation. Written, detailed, with examples. Pricing should be in a contract you can read. If they resist this, that's a red flag.

• What's included in your base price? Some vendors quote low base prices but nickel-and-dime you on everything else (data costs, API calls, support, etc.). Others include everything and charge a single fee. Understanding what's included is critical.

• How do you calculate usage? If they charge per-API call, are they counting: total calls? Unique calls? Calls over a threshold? Do they charge differently for different call types? This matters hugely. Some vendors get $5K-10K/month in surprise "overage" costs because the usage calculation is opaque.

• What's the revenue share rate? If you're on revenue share, what's the cut? Is it flat (7% of betting revenue) or tiered (5% for first $1M, 7% for next $5M, 9% above that)? Tiered is usually better for you but more complex. Understand the full table.

• Are there minimums or maximums? Some vendors charge a minimum monthly fee even if you're not generating revenue. Others cap your fees even if you hit huge volume. These guardrails protect you or them, depending on the deal. Know which direction they protect.

• When and how do you invoice? Monthly? Quarterly? Do you pay upfront or arrears? Is there a true-up at year-end? This affects your cash flow. Some vendors require prepayment; others are flexible. Flexibility is usually a sign of confidence.

• What's your pricing for different markets? If you're launching in the UK, Spain, and Canada, are there different vendor costs? Some charge per-market or per-jurisdiction. Others have global pricing. This affects your unit economics, especially when you're testing new markets.

• What happens if we outgrow you? If you hit massive scale, do prices increase? Do they stay flat? Are there discounts? Or does your unit cost go up as you grow? This matters for long-term profitability and vendor lock-in risk.

• Can you walk me through pricing for my specific scenario? Give them your expected volumes, markets, and features. Ask them to build out total cost of ownership (TCO) for 3 years, with all components visible. If they won't do this, they don't want you to see the real cost.

• What's the contract term and exit clause? Year-to-year? Multi-year? Can you exit if they fail to meet SLAs? What are termination costs? Good vendors have reasonable terms and exit clauses. Bad vendors lock you in.

Red flags:

• "Our pricing is competitive; let's discuss in a call" (avoid transparency)
• Complex tiering that requires a spreadsheet to understand
• Base price seems low but tons of add-ons
• Different pricing for different customers (inconsistency/negotiation fatigue)
• No written pricing; everything is a custom deal
• High minimums even for test phases
• Multi-year lock-in with no exit clause

What good answers look like:

• Transparent pricing: "You pay X% of betting revenue (tiered) plus Y per API call for custom integrations, with Z included in base package"
• Written pricing: Complete pricing sheet included in proposal
• Fair minimums: Minimal or no minimums for test/launch phase
• Aligned incentives: "We only make more money when you make more money"
• Clear escalation: "Pricing scales with your volume, with discounts at key thresholds"
• Reasonable terms: "1-year initial term, after which month-to-month, with 90-day exit clause if we fail SLAs"

How FairPlay approaches this: Our pricing is fully transparent, no hidden costs. We offer revenue share (typically 5-7% tiered by volume) or usage-based (flat rate per price update + API calls). Everything is written, detailed, and understandable. Our incentives are aligned—we make money when you do. For test phases, we have minimums waived. For launch, we build in success milestones, so you don't pay for value you haven't received. Our contracts are 1-year renewable with flexible exit clauses if we miss SLAs. Full TCO visibility is standard.

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Question 5: What's Your Scalability and Roadmap?

You're not evaluating BetTech for today. You're evaluating for three years from now. What matters is whether the vendor can scale with you and whether they're building for the future, not the past.

What you need to understand:

Scalability has two dimensions: Can their infrastructure handle 10x growth? And can their product roadmap handle market evolution?

The first is a technical question. The second is strategic. Both matter.

Many vendors have infrastructure that scales but product that doesn't. They're great at handling high volume but terrible at adding features, supporting new markets, or adapting to regulation changes. That's a different kind of bottleneck.

Ask these sub-questions:

• Show me your technical architecture. Can they handle your 3-year volume projections? Do they have stress test data? Have they handled sudden traffic spikes? What's their infrastructure provider (AWS, Google Cloud, on-premise)? Redundancy? What's the worst-case latency under peak load?

• What's your product roadmap for the next 12-24 months? Don't ask for vague roadmap slides. Ask: What are the top 5 features you're building? When? Why? Does it align with your needs? If they're building features that don't matter to you, and skipping features that do, that's a sign of misalignment.

• How do you handle feature requests? If you need something custom, do they build it? Integrate third-party solutions? How long does it take? Is there a product council where customers feed roadmap priorities? The best vendors have customers influencing product direction.

• How do you stay current with market evolution? Betting markets change. New sports emerge (esports, crypto). Regulation tightens. New channels appear (social, metaverse). Is your vendor thinking about these? Or are they running a static platform?

• What's your team structure? Do they have dedicated product management? Engineering? Compliance ops? Or are they lean and reactive? Growth requires investment. Ask about headcount, turnover (high turnover = instability), and organizational depth.

• Can you go multi-tenant or white-label? If you want to resell their platform to your own customers, can you? Can they handle multiple sub-brands? Different rules per brand? This is table-stakes for scaling in certain business models.

• What's your M&A or partnership strategy? Are they acquiring adjacent companies to expand capability? Are they partnering with complementary vendors? Or are they going it alone? Expansion through M&A or partnership is usually more robust than building everything in-house.

• Show me your growth metrics. Are they growing? Losing customers? How's unit economics trending? Ask for numbers: customer growth, retention, revenue growth. Private companies will be hesitant, but you can ask and gauge their comfort.

• What's your financial health? Are they profitable? Venture-backed? How much runway do they have? Vendors that are burning through cash and losing customers are risky. You could pick the best vendor only to have them shut down in 18 months.

Red flags:

• Static roadmap; no new features announced in past year
• Roadmap driven by internal priorities, not customer feedback
• Lean team that looks like it's stretched thin
• High employee turnover (>25% annually)
• Declining customer count or retention
• No clear M&A or partnership strategy
• Seems stable but maybe too stable (no innovation)

What good answers look like:

• Clear technical roadmap: "We're building [X], [Y], [Z] by [dates], driven by customer demand in [markets]"
• Structured feedback loop: "Product council meets quarterly; customers vote on priorities"
• Team growth: "We've hired 25% more engineers and ops staff in the past year"
• M&A/partnership strategy: "We're acquiring [company] to add [capability] and partnering with [vendor] on [integration]"
• Financial health: "Profitable, with strong unit economics and [X] years of growth"
• Market adaptability: "We're investing in esports, responsible gambling AI, and compliance automation for emerging markets"

How FairPlay approaches this: Our roadmap is customer-influenced—we have a product council that meets quarterly. Major features in development: advanced BI/analytics, esports expansion, blockchain-based settlement for DEX markets, and AI-driven compliance automation. Our team has grown 40% year-over-year. We're profitable with strong retention (95%+ annual retention) and healthy growth. We're actively exploring partnerships and M&A to expand coverage and capability. We've been designed to scale from day one—our infrastructure handles 500M+ API calls monthly without latency degradation.

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Beyond The Five Questions: What Else Matters

The five questions above cover the core—data, compliance, integration, pricing, and roadmap. But several secondary factors deserve attention:

Support Quality

When something breaks, do they respond in 15 minutes or 15 hours? Do they have 24/7 support or business-hours only? Do they have escalation paths to engineers? The best vendors treat support as a product, not a cost center. Ask for their support SLAs and talk to current customers about response times.

Customer References

Ask for three customer references, specifically: one in your vertical, one at your scale, and one that's recently churned. The last one is the most informative. Ask what went wrong and how the vendor handled it.

Data Ownership and Portability

If you leave, can you take your data? How easily? In what format? Data lock-in is real. Vendors that make it hard to export are vendors that don't want you to leave. That's a relationship built on captivity, not value.

Security and Data Privacy

Do they have SOC 2 Type II certification? GDPR compliance? Encryption in transit and at rest? Regular penetration testing? Ask for a security audit summary. This matters hugely if you're handling user data.

Community and Ecosystem

Do they have an active developer community? User forums? Conferences? Regular webinars? Vendors with healthy ecosystems tend to be more innovative and more responsive. They survive because customers choose them, not because they're locked in.

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Vendor Comparison Framework

To apply these five questions systematically, here's a simple scorecard:

Score each vendor 1-10 on each criterion. Weight by importance (adjust based on your priorities). Weighted score tells you the story. But the framework is also a conversation tool—it forces vendors to address specifics rather than give marketing answers.

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Next Steps: From Evaluation to Selection

Evaluating BetTech vendors is not a one-call process. It requires structured diligence, real conversations, and proof of capability. Here's how to structure your evaluation:

Week 1-2: Vendor Shortlist

• Identify 3-5 vendors that seem credible
• Run them through the five questions (at a high level) via email
• Disqualify vendors that won't answer transparently

Week 3-4: Deep Dives

• Schedule 90-minute calls with remaining vendors
• Work through the five questions in detail
• Ask for references; call those references
• Request proposals with pricing, timelines, and assumptions

Week 5: Pilot Decision

• If you can't decide, run a 2-week pilot with your top two vendors
• Test on real data, real volume, real requirements
• Assess team responsiveness, infrastructure stability, integration speed

Week 6-8: Contract Negotiation

• Lock down pricing, terms, SLAs, exit clauses
• Define post-launch support and success metrics
• Establish governance (steering committee, regular reviews)

Week 8+: Implementation

• Execute integration according to plan
• Weekly check-ins with vendor
• Clear accountability for outcomes

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Conclusion: Make an Informed Choice

Choosing a BetTech provider is one of the highest-leverage decisions you'll make. A great vendor accelerates your launch, protects you from compliance disasters, and scales with you. A bad vendor delays your timeline, creates technical debt, and locks you in.

The five questions in this article—data coverage, compliance infrastructure, integration flexibility, commercial transparency, and scalability—are your North Star. Any vendor that won't answer these questions transparently is not worth your time.

But remember: no vendor is perfect. You're looking for the best fit for your specific needs, your timeline, and your market. What matters most to you? Data coverage? Compliance? Speed to market? Let that weigh your decision. And don't fall for marketing. Reference calls, technical deep dives, and structured evaluation will tell you more than any pitch deck.

Ready to take the next step?

We've built a detailed evaluation framework—The ROI of BetTech: A Business Case Framework—that helps you model the financial impact of each vendor option. Use it to quantify the decision beyond gut feel.

Or, if you want a second set of eyes, request a vendor comparison call. We'll walk through your shortlist with you and share lessons from dozens of similar selections.

For a high-level map of what's available in the market, see The BetTech Market Map: Providers & Platforms 2026.

And if compliance is your primary concern, read BetTech Compliance: Scalable Regulation Across Markets for a deep dive into how leading vendors operationalize regulation.

Finally, if you're still deciding between managed service and self-serve, Managed Service vs Self-Serve BetTech: Which Model Fits? walks you through that critical binary choice.

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About This Article

This evaluation framework is drawn from FairPlay's work with dozens of publishers, sportsbooks, exchanges, and rights holders across Europe, North America, and emerging markets. The five questions are not exhaustive, but they're the ones that matter most. We've included FairPlay's approach to each to show how one vendor (us) operationalizes these principles. But the framework is vendor-agnostic—apply it to any vendor you're considering.

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Last updated: March 2026. BetTech landscapes change fast. If you see something outdated in this article, let us know.