Ekata is a Mastercard company that provides identity verification and fraud prevention solutions through real-time data intelligence. Organizations use Ekata to validate customer identities, assess transaction risk, and reduce fraud across digital channels. Ekata's core products—Identity Engine, Identity Review, and Transaction Risk API—combine global identity data with machine learning to help businesses verify users during onboarding, checkout, and account access.
Understanding Ekata's pricing is essential for teams planning fraud prevention budgets, evaluating identity verification vendors, or preparing for contract renewals. Ekata's costs are driven primarily by API call volume, product selection, data coverage requirements, and contract structure.
Evaluating Ekata or planning a purchase?
Vendr's pricing analysis agent uses anonymized contract data to show what similar companies typically pay and where negotiation leverage exists—whether you're estimating budget, comparing options, or reviewing a quote. Explore Ekata pricing with Vendr.
This guide combines Ekata's published pricing with Vendr's dataset and analysis to break down Ekata pricing in 2026, including:
Whether you're evaluating Ekata for the first time or preparing for renewal, this guide is designed to help you budget accurately and negotiate with clearer market context.
Based on Vendr transaction data, Ekata pricing is structured around API call volume and product selection. The platform does not publish fixed list prices publicly; instead, pricing is customized based on anticipated monthly or annual API call volume, geographic data coverage, and contract term length.
Core pricing components:
Typical pricing structure:
Ekata contracts are typically structured as annual commitments with monthly API call minimums or prepaid call packages. Buyers commit to a minimum volume (e.g., 100,000 calls per month) and pay overage fees if usage exceeds the committed tier.
Observed outcomes:
In Vendr's dataset, buyers with moderate to high API call volumes (100K–1M+ calls per month) often achieve below-list pricing, particularly when committing to multi-year terms or bundling multiple Ekata products.
Benchmarking context:
See percentile-based pricing for Ekata based on API call volume, product mix, and contract structure to assess whether a given quote aligns with recent market outcomes.
Vendr data shows that Ekata's pricing varies by product. Below is a breakdown of the core offerings and typical cost drivers.
Identity Engine is Ekata's real-time identity verification API. It validates email addresses, phone numbers, IP addresses, and physical addresses, returning risk scores and identity attributes.
Pricing Structure:
Identity Engine is priced per API call. Per-call rates decrease with higher monthly or annual volume commitments. Contracts typically include a monthly minimum or prepaid call package.
Observed Outcomes:
Based on Vendr transaction data, buyers with monthly volumes between 50,000 and 500,000 calls often achieve below-list pricing. Volume discounts and multi-year commitments commonly yield lower per-call pricing.
Benchmarking context:
Get your custom price estimate for Identity Engine based on your anticipated API call volume and data coverage requirements.
Identity Review is a manual review platform that integrates with Identity Engine, enabling fraud analysts to investigate flagged transactions and make accept/reject decisions.
Pricing Structure:
Identity Review is typically priced as an add-on to Identity Engine, either as a flat monthly platform fee or a per-review fee. Some contracts bundle Identity Review with Identity Engine at a combined per-call rate.
Observed Outcomes:
In Vendr's dataset, buyers using Identity Review alongside Identity Engine often negotiate bundled pricing that reduces the incremental cost of the review platform. Platform fees for Identity Review typically range from a few hundred to a few thousand dollars per month, depending on user count and review volume.
Benchmarking context:
Vendr data shows that buyers who bundle Identity Engine and Identity Review often achieve better overall pricing than those purchasing products separately. Compare bundled vs. standalone pricing with Vendr.
Transaction Risk API provides real-time fraud scoring for payment transactions, combining identity signals with transaction data to assess risk at checkout.
Pricing Structure:
Transaction Risk API is priced per API call, similar to Identity Engine. Pricing depends on transaction volume, data coverage, and whether it is bundled with other Ekata products.
Observed Outcomes:
Based on Vendr transaction data, buyers with high transaction volumes (500K+ monthly API calls) often achieve discounts common for volume, particularly when committing to annual or multi-year contracts.
Benchmarking context:
See what similar companies pay for Transaction Risk API based on your expected transaction volume and integration requirements.
Understanding the key cost drivers helps buyers estimate total spend and identify negotiation opportunities. Based on Vendr's dataset:
API call volume
The number of API calls per month or year is the primary cost driver. Higher volumes unlock lower per-call rates through volume-based pricing tiers.
Product mix
Bundling multiple Ekata products (e.g., Identity Engine + Transaction Risk API) often results in better overall pricing than purchasing products separately.
Data coverage
Global data coverage (access to identity data across multiple countries) typically costs more than US-only or regional coverage. Buyers should align data coverage with actual business needs to avoid overpaying.
Contract term length
Multi-year contracts (2–3 years) generally unlock lower per-call rates and better volume discounts compared to annual agreements.
Overage fees
Contracts with monthly minimums or prepaid call packages may include overage fees if usage exceeds the committed volume. Overage rates are typically higher than the base per-call rate, so accurate volume forecasting is important.
Implementation and support
Some contracts include implementation fees, onboarding support, or premium support tiers. These are often negotiable or waivable, particularly for larger deployments.
Beyond the base per-call pricing, Vendr data shows buyers should account for the following potential costs:
Overage fees
If your API call volume exceeds the committed tier, overage fees apply. Overage rates are typically 20–50% higher than the base per-call rate. Buyers should negotiate overage terms upfront and ensure volume commitments align with realistic usage projections.
Implementation and onboarding fees
Some Ekata contracts include one-time implementation or onboarding fees, particularly for complex integrations or custom workflows. These fees are often negotiable or waivable for larger contracts.
Premium support
Standard support is typically included, but premium support tiers (e.g., dedicated account management, faster response times) may carry additional monthly or annual fees.
Data coverage upgrades
Expanding data coverage mid-contract (e.g., adding new countries or regions) may trigger additional fees or require contract amendments. Buyers should clarify upgrade pricing and flexibility during initial negotiations.
API call minimums
Contracts with monthly minimums require payment for the committed volume even if actual usage is lower. Buyers should negotiate minimums that align with realistic usage and include flexibility for seasonal or growth-related fluctuations.
Auto-renewal terms
Ekata contracts often include auto-renewal clauses with price escalation (e.g., 5–10% annual increases). Buyers should negotiate renewal terms, notice periods, and price caps during the initial contract.
Based on Vendr transaction data, Ekata pricing varies widely based on API call volume, product selection, and contract structure. Below is high-level guidance on typical pricing outcomes.
Small deployments (10K–50K API calls per month):
In Vendr's dataset, buyers in this range often see discounts common for volume, depending on product mix and data coverage. Annual contracts and bundled products commonly yield pricing toward the lower end of this range.
Mid-market deployments (50K–500K API calls per month):
Vendr data shows that buyers with moderate volumes often achieve below-list pricing. Multi-year commitments and volume-based discounts are common negotiation levers in this segment.
Enterprise deployments (500K+ API calls per month):
Based on Vendr transaction data, high-volume buyers typically achieve discounts common for volume, with some contracts reaching lower rates for very large volumes (1M+ calls per month). Custom pricing, multi-year terms, and bundled products are standard in this segment.
Observed negotiation outcomes:
In Vendr's dataset, buyers who engage early, benchmark pricing against alternatives, and commit to multi-year terms often achieve better outcomes than initial quotes.
Benchmarking context:
Explore percentile-based benchmarks for Ekata based on your specific API call volume, product mix, and contract structure.
Based on Vendr's dataset, Ekata pricing is highly negotiable, particularly for buyers with clear volume projections, competitive alternatives, and flexibility on contract terms. Below are proven strategies.
Ekata sales cycles can take 4–8 weeks for mid-market deals and longer for enterprise contracts. Engaging early gives you time to benchmark pricing, evaluate alternatives, and negotiate without time pressure.
Vendr data shows that buyers who engage 60–90 days before their target start date or renewal deadline often achieve better pricing than those negotiating under tight timelines.
Ekata pricing is volume-driven, so accurate API call projections are critical. Anchor your negotiation to a realistic budget and volume forecast, and ask Ekata to propose pricing tiers that align with your growth trajectory.
If your volume is uncertain, negotiate flexible minimums or tiered pricing that adjusts as usage scales.
Ekata competes with Socure, Alloy, Onfido, and other identity verification platforms. Buyers who evaluate multiple vendors and share competitive pricing often achieve better outcomes.
Competitive benchmarks:
Compare Ekata pricing to alternatives using Vendr's anonymized transaction data to understand where Ekata's pricing sits relative to competitors for similar scope.
In Vendr's dataset, multi-year contracts (2–3 years) typically unlock lower per-call rates compared to annual agreements. Buyers should weigh the savings against the risk of being locked into a longer commitment.
Vendr data shows that buyers who commit to multi-year terms often achieve better pricing for their volume tier.
Bundling Identity Engine, Identity Review, and Transaction Risk API often results in better overall pricing than purchasing products separately. Buyers should ask for bundled pricing proposals and compare them to standalone options.
Overage fees can significantly increase total cost if usage exceeds committed volume. Buyers should negotiate lower overage rates, flexible minimums, or the ability to roll over unused calls to future months.
Ekata contracts often include auto-renewal clauses with annual price increases (e.g., 5–10%). Buyers should negotiate renewal terms, notice periods, and price caps during the initial contract to avoid unexpected cost increases.
Ekata's fiscal year ends in December. Buyers negotiating in Q4 (October–December) may have additional leverage as sales teams work to close deals before year-end.
These insights are based on anonymized Ekata deals in Vendr's dataset across a wide range of company sizes and contract structures. Buyers can explore these insights directly using Vendr's free pricing and negotiation tools:
Ekata competes with several identity verification and fraud prevention platforms. Below are pricing-focused comparisons with key alternatives.
| Pricing component | Ekata | Socure |
|---|---|---|
| List pricing model | Per API call, volume-based tiers | Per API call, volume-based tiers |
| Typical per-call rate (mid-market) | Volume-based | Volume-based |
| Contract minimum | Monthly or annual volume commitment | Monthly or annual volume commitment |
| Estimated annual cost (100K calls/month) | Varies by volume and term | Varies by volume and term |
Benchmarking context:
Compare Ekata and Socure pricing side by side using Vendr's anonymized transaction data.
| Pricing component | Ekata | Alloy |
|---|---|---|
| List pricing model | Per API call, volume-based tiers | Per API call or platform fee + usage |
| Typical per-call rate (mid-market) | Volume-based | Volume-based |
| Contract minimum | Monthly platform fee or volume commitment | Monthly platform fee or volume commitment |
| Estimated annual cost (100K calls/month) | Varies by volume and term | Varies by volume and term |
Benchmarking context:
See what similar companies pay for Alloy vs. Ekata based on your anticipated API call volume and product requirements.
| Pricing component | Ekata | Onfido |
|---|---|---|
| List pricing model | Per API call, volume-based tiers | Per verification, volume-based tiers |
| Typical per-verification rate (mid-market) | Volume-based | Volume-based |
| Contract minimum | Monthly or annual volume commitment | Monthly or annual volume commitment |
| Estimated annual cost (10K verifications/month) | Varies by volume and term | Varies by volume and term |
Benchmarking context:
Compare Onfido and Ekata pricing to understand which platform delivers better value for your specific use case and volume.
Based on anonymized Ekata transactions in Vendr's platform over the past 12 months:
Vendr's dataset shows that buyers who commit to multi-year terms and bundle multiple products often achieve better pricing for their volume tier.
Negotiation guidance:
Get supplier-specific negotiation playbooks for Ekata to understand which levers work best for your deal type and timing.
Based on Vendr transaction data:
Vendr's dataset shows that buyers who negotiate overage terms, flexible minimums, and r
enewal price caps often achieve better long-term value than those who focus only on per-call rates.
Benchmarking context:
See percentile-based pricing for Ekata to understand where your quote sits relative to recent market outcomes.
Based on Vendr transaction data:
Vendr's dataset shows that buyers who commit to multi-year terms, bundle products, and negotiate flexible minimums often achieve better pricing for their volume tier.
Benchmarking context:
Get your custom price estimate for Ekata based on your anticipated API call volume, product mix, and contract structure.
Based on Vendr transaction data:
Vendr's dataset shows that buyers who engage early, leverage fiscal timing, and benchmark pricing against alternatives often achieve better pricing for their volume tier.
Negotiation guidance:
Explore timing strategies and leverage points for Ekata based on your deal type and renewal timeline.
Based on Vendr transaction data, common hidden costs include:
Vendr's dataset shows that buyers who negotiate overage terms, flexible minimums, and renewal price caps upfront often achieve better long-term value than those who focus only on per-call rates.
Benchmarking context:
See what similar companies pay for Ekata, including total cost of ownership and hidden fees.
Identity Engine validates identity attributes (email, phone, IP, address) and returns risk scores and identity signals. Transaction Risk API focuses specifically on payment transaction fraud, combining identity signals with transaction data to assess risk at checkout.
Buyers should evaluate both products based on use case: Identity Engine is better suited for identity verification during onboarding or account access, while Transaction Risk API is better suited for real-time fraud prevention at checkout.
Yes, Ekata offers global data coverage, but pricing varies based on the countries and regions included in your contract. US-only or regional coverage typically costs less than global coverage. Buyers should align data coverage with actual business needs to avoid overpaying.
Yes, bundling Identity Engine, Identity Review, and Transaction Risk API often results in better overall pricing than purchasing products separately. Buyers should ask for bundled pricing proposals and compare them to standalone options.
Ekata integrates with major fraud prevention platforms, CRM systems, and payment gateways via REST APIs. Custom integrations and webhooks are available for enterprise buyers. Implementation complexity and support requirements may impact pricing.
Based on analysis of anonymized Ekata deals in Vendr's dataset, buyers who prepare carefully, benchmark pricing against alternatives, and negotiate strategically often achieve meaningfully better outcomes than those who accept initial quotes.
Key takeaways:
Regardless of platform choice, the most important step is clearly defining requirements, understanding total cost drivers, and benchmarking pricing against comparable deals before committing.
Vendr's pricing and negotiation tools analyze anonymized transaction data to surface percentile-based benchmarks, competitive comparisons, and observed negotiation patterns, helping buyers assess how a given Ekata quote compares to recent market outcomes for similar scope.
This guide is updated regularly to reflect recent Ekata pricing and negotiation trends. Consider revisiting it ahead of any new purchase or renewal to account for changing market conditions. Last updated: February 2026.