{"id":58304,"date":"2025-12-29T03:02:18","date_gmt":"2025-12-29T03:02:18","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=58304"},"modified":"2026-01-19T03:04:29","modified_gmt":"2026-01-19T03:04:29","slug":"top-10-payment-fraud-scoring-apis-features-pros-cons-comparison","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/top-10-payment-fraud-scoring-apis-features-pros-cons-comparison\/","title":{"rendered":"Top 10 Payment Fraud Scoring APIs: Features, Pros, Cons & Comparison"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Introduction<\/strong><\/h2>\n\n\n\n

Payment Fraud Scoring APIs are specialized software interfaces that analyze transactions in real time and assign a fraud risk score<\/strong> based on multiple behavioral, device, network, and historical signals. These scores help businesses decide whether to approve, review, or block<\/strong> a payment before financial damage occurs.<\/p>\n\n\n\n

As digital payments grow across e-commerce, fintech, SaaS, marketplaces, and on-demand platforms, fraud tactics are becoming more sophisticated\u2014ranging from card testing and account takeovers to synthetic identity fraud and friendly fraud. Manual review alone is no longer sufficient. Fraud scoring APIs automate risk assessment at scale while keeping customer experience smooth.<\/p>\n\n\n\n

Real-world use cases include:<\/strong><\/p>\n\n\n\n

    \n
  • Blocking stolen card transactions in e-commerce<\/li>\n\n\n\n
  • Preventing account takeover in fintech apps<\/li>\n\n\n\n
  • Detecting bot-driven card testing attacks<\/li>\n\n\n\n
  • Reducing chargebacks and false declines<\/li>\n\n\n\n
  • Enabling risk-based authentication and step-up verification<\/li>\n<\/ul>\n\n\n\n

    When choosing a Payment Fraud Scoring API, buyers should evaluate accuracy, latency, explainability, integration ease, compliance readiness, and pricing transparency<\/strong>, along with how well the tool adapts to evolving fraud patterns.<\/p>\n\n\n\n

    Best for:<\/strong>
    Fintech startups, payment processors, e-commerce platforms, SaaS companies, marketplaces, subscription businesses, and enterprises processing high transaction volumes.<\/p>\n\n\n\n

    Not ideal for:<\/strong>
    Offline-only businesses, very low-volume merchants with minimal fraud exposure, or teams that only need basic rule-based checks without scoring intelligence.<\/p>\n\n\n\n

    \n\n\n\n

    Top 10 Payment Fraud Scoring APIs Tools<\/strong><\/h2>\n\n\n\n
    \n\n\n\n

    1 \u2014 Stripe Radar<\/strong><\/h3>\n\n\n\n

    Short description:<\/strong>
    A built-in fraud scoring and prevention engine designed for businesses already using Stripe payments, combining network intelligence with adaptive machine learning.<\/p>\n\n\n\n

    Key features<\/strong><\/p>\n\n\n\n

      \n
    • Real-time fraud risk scoring<\/li>\n\n\n\n
    • Adaptive ML models trained on global Stripe data<\/li>\n\n\n\n
    • Custom rule creation and thresholds<\/li>\n\n\n\n
    • 3D Secure and step-up authentication<\/li>\n\n\n\n
    • Dispute and chargeback insights<\/li>\n\n\n\n
    • Velocity and behavioral analysis<\/li>\n<\/ul>\n\n\n\n

      Pros<\/strong><\/p>\n\n\n\n

        \n
      • Deeply integrated with Stripe payments<\/li>\n\n\n\n
      • Strong balance between fraud prevention and conversion<\/li>\n<\/ul>\n\n\n\n

        Cons<\/strong><\/p>\n\n\n\n

          \n
        • Limited usefulness outside the Stripe ecosystem<\/li>\n\n\n\n
        • Less customization than standalone fraud platforms<\/li>\n<\/ul>\n\n\n\n

          Security & compliance:<\/strong>
          SOC 2, PCI DSS, GDPR-ready, encryption in transit and at rest<\/p>\n\n\n\n

          Support & community:<\/strong>
          Excellent documentation, strong developer experience, enterprise support for large merchants<\/p>\n\n\n\n

          \n\n\n\n

          2 \u2014 Sift<\/strong><\/h3>\n\n\n\n

          Short description:<\/strong>
          An AI-driven fraud decisioning platform offering highly accurate risk scores across payments, accounts, and content abuse.<\/p>\n\n\n\n

          Key features<\/strong><\/p>\n\n\n\n

            \n
          • Real-time ML-based fraud scoring<\/li>\n\n\n\n
          • Behavioral and identity signals<\/li>\n\n\n\n
          • Global network intelligence<\/li>\n\n\n\n
          • Automated decision workflows<\/li>\n\n\n\n
          • Chargeback protection tools<\/li>\n\n\n\n
          • Custom policy engine<\/li>\n<\/ul>\n\n\n\n

            Pros<\/strong><\/p>\n\n\n\n

              \n
            • High accuracy with low false positives<\/li>\n\n\n\n
            • Scales well for enterprise use cases<\/li>\n<\/ul>\n\n\n\n

              Cons<\/strong><\/p>\n\n\n\n

                \n
              • Premium pricing<\/li>\n\n\n\n
              • Requires thoughtful configuration<\/li>\n<\/ul>\n\n\n\n

                Security & compliance:<\/strong>
                SOC 2 Type II, GDPR, ISO-aligned practices<\/p>\n\n\n\n

                Support & community:<\/strong>
                Dedicated onboarding, strong enterprise support, limited open community<\/p>\n\n\n\n

                \n\n\n\n

                3 \u2014 Riskified<\/strong><\/h3>\n\n\n\n

                Short description:<\/strong>
                A fraud scoring and decision engine focused primarily on large and mid-market e-commerce merchants.<\/p>\n\n\n\n

                Key features<\/strong><\/p>\n\n\n\n

                  \n
                • Transaction-level fraud risk scoring<\/li>\n\n\n\n
                • Chargeback guarantee options<\/li>\n\n\n\n
                • Behavioral analytics<\/li>\n\n\n\n
                • Network-based identity graph<\/li>\n\n\n\n
                • Real-time approvals and declines<\/li>\n\n\n\n
                • Detailed fraud insights dashboard<\/li>\n<\/ul>\n\n\n\n

                  Pros<\/strong><\/p>\n\n\n\n

                    \n
                  • Very strong for high-volume e-commerce<\/li>\n\n\n\n
                  • Reduces chargeback liability<\/li>\n<\/ul>\n\n\n\n

                    Cons<\/strong><\/p>\n\n\n\n

                      \n
                    • Less suitable for non-retail use cases<\/li>\n\n\n\n
                    • Pricing may not fit small merchants<\/li>\n<\/ul>\n\n\n\n

                      Security & compliance:<\/strong>
                      SOC 2, GDPR-ready, enterprise-grade encryption<\/p>\n\n\n\n

                      Support & community:<\/strong>
                      Managed onboarding, account managers, limited developer community<\/p>\n\n\n\n

                      \n\n\n\n

                      4 \u2014 Forter<\/strong><\/h3>\n\n\n\n

                      Short description:<\/strong>
                      A real-time fraud scoring platform optimized for instant decisioning and seamless customer experiences.<\/p>\n\n\n\n

                      Key features<\/strong><\/p>\n\n\n\n

                        \n
                      • Real-time fraud scoring under milliseconds<\/li>\n\n\n\n
                      • Identity-based decisioning<\/li>\n\n\n\n
                      • Behavioral biometrics<\/li>\n\n\n\n
                      • Adaptive machine learning<\/li>\n\n\n\n
                      • Frictionless customer authentication<\/li>\n\n\n\n
                      • Global fraud network<\/li>\n<\/ul>\n\n\n\n

                        Pros<\/strong><\/p>\n\n\n\n

                          \n
                        • Extremely low latency<\/li>\n\n\n\n
                        • Strong customer experience focus<\/li>\n<\/ul>\n\n\n\n

                          Cons<\/strong><\/p>\n\n\n\n

                            \n
                          • Best suited for large enterprises<\/li>\n\n\n\n
                          • Limited transparency into models<\/li>\n<\/ul>\n\n\n\n

                            Security & compliance:<\/strong>
                            SOC 2 Type II, GDPR, ISO practices<\/p>\n\n\n\n

                            Support & community:<\/strong>
                            Enterprise-level support, limited self-service resources<\/p>\n\n\n\n

                            \n\n\n\n

                            5 \u2014 SEON<\/strong><\/h3>\n\n\n\n

                            Short description:<\/strong>
                            A flexible fraud scoring API favored by startups and SMBs for its transparency and customization.<\/p>\n\n\n\n

                            Key features<\/strong><\/p>\n\n\n\n

                              \n
                            • Real-time fraud scoring<\/li>\n\n\n\n
                            • Device fingerprinting<\/li>\n\n\n\n
                            • IP, email, and phone risk signals<\/li>\n\n\n\n
                            • Rules + ML hybrid approach<\/li>\n\n\n\n
                            • Explainable scoring breakdown<\/li>\n\n\n\n
                            • REST-based API integration<\/li>\n<\/ul>\n\n\n\n

                              Pros<\/strong><\/p>\n\n\n\n

                                \n
                              • Transparent and explainable risk scores<\/li>\n\n\n\n
                              • Cost-effective for growing teams<\/li>\n<\/ul>\n\n\n\n

                                Cons<\/strong><\/p>\n\n\n\n

                                  \n
                                • Less global network depth than enterprise tools<\/li>\n\n\n\n
                                • Requires tuning for optimal results<\/li>\n<\/ul>\n\n\n\n

                                  Security & compliance:<\/strong>
                                  GDPR-compliant, encryption in transit<\/p>\n\n\n\n

                                  Support & community:<\/strong>
                                  Good documentation, responsive support, active startup adoption<\/p>\n\n\n\n

                                  \n\n\n\n

                                  6 \u2014 Ekata<\/strong><\/h3>\n\n\n\n

                                  Short description:<\/strong>
                                  A global identity intelligence platform delivering fraud risk scores based on identity and network signals.<\/p>\n\n\n\n

                                  Key features<\/strong><\/p>\n\n\n\n

                                    \n
                                  • Identity-based risk scoring<\/li>\n\n\n\n
                                  • IP reputation and device insights<\/li>\n\n\n\n
                                  • Global data coverage<\/li>\n\n\n\n
                                  • Transaction velocity analysis<\/li>\n\n\n\n
                                  • API-first architecture<\/li>\n<\/ul>\n\n\n\n

                                    Pros<\/strong><\/p>\n\n\n\n

                                      \n
                                    • Excellent international coverage<\/li>\n\n\n\n
                                    • Strong identity intelligence<\/li>\n<\/ul>\n\n\n\n

                                      Cons<\/strong><\/p>\n\n\n\n

                                        \n
                                      • Less decision automation<\/li>\n\n\n\n
                                      • Best used alongside other tools<\/li>\n<\/ul>\n\n\n\n

                                        Security & compliance:<\/strong>
                                        SOC 2, GDPR-ready<\/p>\n\n\n\n

                                        Support & community:<\/strong>
                                        Strong enterprise documentation and onboarding support<\/p>\n\n\n\n

                                        \n\n\n\n

                                        7 \u2014 Feedzai<\/strong><\/h3>\n\n\n\n

                                        Short description:<\/strong>
                                        A real-time risk scoring engine built for banks, PSPs, and large fintech platforms.<\/p>\n\n\n\n

                                        Key features<\/strong><\/p>\n\n\n\n

                                          \n
                                        • AI-driven fraud scoring<\/li>\n\n\n\n
                                        • Behavioral analytics<\/li>\n\n\n\n
                                        • Real-time streaming analysis<\/li>\n\n\n\n
                                        • Rule-based and ML hybrid models<\/li>\n\n\n\n
                                        • Omnichannel fraud detection<\/li>\n<\/ul>\n\n\n\n

                                          Pros<\/strong><\/p>\n\n\n\n

                                            \n
                                          • Enterprise-grade scalability<\/li>\n\n\n\n
                                          • Proven in banking environments<\/li>\n<\/ul>\n\n\n\n

                                            Cons<\/strong><\/p>\n\n\n\n

                                              \n
                                            • Complex implementation<\/li>\n\n\n\n
                                            • High total cost of ownership<\/li>\n<\/ul>\n\n\n\n

                                              Security & compliance:<\/strong>
                                              SOC 2, PCI DSS, GDPR, ISO<\/p>\n\n\n\n

                                              Support & community:<\/strong>
                                              Dedicated enterprise support and professional services<\/p>\n\n\n\n

                                              \n\n\n\n

                                              8 \u2014 Kount<\/strong><\/h3>\n\n\n\n

                                              Short description:<\/strong>
                                              A long-established fraud scoring platform offering identity trust and omnichannel fraud prevention.<\/p>\n\n\n\n

                                              Key features<\/strong><\/p>\n\n\n\n

                                                \n
                                              • Identity trust scoring<\/li>\n\n\n\n
                                              • Device fingerprinting<\/li>\n\n\n\n
                                              • AI-powered risk decisions<\/li>\n\n\n\n
                                              • Chargeback management<\/li>\n\n\n\n
                                              • Rules engine<\/li>\n<\/ul>\n\n\n\n

                                                Pros<\/strong><\/p>\n\n\n\n

                                                  \n
                                                • Mature and trusted platform<\/li>\n\n\n\n
                                                • Broad fraud coverage<\/li>\n<\/ul>\n\n\n\n

                                                  Cons<\/strong><\/p>\n\n\n\n

                                                    \n
                                                  • UI can feel dated<\/li>\n\n\n\n
                                                  • Less flexible for custom workflows<\/li>\n<\/ul>\n\n\n\n

                                                    Security & compliance:<\/strong>
                                                    PCI DSS, SOC 2, GDPR-ready<\/p>\n\n\n\n

                                                    Support & community:<\/strong>
                                                    Strong enterprise support, moderate developer resources<\/p>\n\n\n\n

                                                    \n\n\n\n

                                                    9 \u2014 Featurespace<\/strong><\/h3>\n\n\n\n

                                                    Short description:<\/strong>
                                                    A machine-learning fraud scoring solution known for anomaly detection and AML-focused use cases.<\/p>\n\n\n\n

                                                    Key features<\/strong><\/p>\n\n\n\n

                                                      \n
                                                    • Adaptive behavioral analytics<\/li>\n\n\n\n
                                                    • Transaction anomaly scoring<\/li>\n\n\n\n
                                                    • Unsupervised machine learning<\/li>\n\n\n\n
                                                    • Real-time alerts<\/li>\n\n\n\n
                                                    • AML and fraud convergence<\/li>\n<\/ul>\n\n\n\n

                                                      Pros<\/strong><\/p>\n\n\n\n

                                                        \n
                                                      • Excellent for complex fraud patterns<\/li>\n\n\n\n
                                                      • Strong AML alignment<\/li>\n<\/ul>\n\n\n\n

                                                        Cons<\/strong><\/p>\n\n\n\n

                                                          \n
                                                        • Limited plug-and-play usability<\/li>\n\n\n\n
                                                        • Requires data science involvement<\/li>\n<\/ul>\n\n\n\n

                                                          Security & compliance:<\/strong>
                                                          SOC 2, GDPR, financial-grade controls<\/p>\n\n\n\n

                                                          Support & community:<\/strong>
                                                          Enterprise consulting-driven support model<\/p>\n\n\n\n

                                                          \n\n\n\n

                                                          10 \u2014 Arkose Labs<\/strong><\/h3>\n\n\n\n

                                                          Short description:<\/strong>
                                                          A fraud scoring and bot mitigation platform focusing on attack resistance and abuse prevention.<\/p>\n\n\n\n

                                                          Key features<\/strong><\/p>\n\n\n\n

                                                            \n
                                                          • Risk scoring for suspicious behavior<\/li>\n\n\n\n
                                                          • Bot and automation detection<\/li>\n\n\n\n
                                                          • Challenge-based friction<\/li>\n\n\n\n
                                                          • Behavioral analysis<\/li>\n\n\n\n
                                                          • API-based integration<\/li>\n<\/ul>\n\n\n\n

                                                            Pros<\/strong><\/p>\n\n\n\n

                                                              \n
                                                            • Excellent against bot-driven fraud<\/li>\n\n\n\n
                                                            • Reduces card testing attacks<\/li>\n<\/ul>\n\n\n\n

                                                              Cons<\/strong><\/p>\n\n\n\n

                                                                \n
                                                              • Less focused on pure payment scoring<\/li>\n\n\n\n
                                                              • Friction may impact UX<\/li>\n<\/ul>\n\n\n\n

                                                                Security & compliance:<\/strong>
                                                                SOC 2, GDPR-ready<\/p>\n\n\n\n

                                                                Support & community:<\/strong>
                                                                Strong enterprise support, focused documentation<\/p>\n\n\n\n

                                                                \n\n\n\n

                                                                Comparison Table<\/strong><\/h2>\n\n\n\n
                                                                Tool Name<\/th>Best For<\/th>Platform(s) Supported<\/th>Standout Feature<\/th>Rating<\/th><\/tr><\/thead>
                                                                Stripe Radar<\/td>Stripe merchants<\/td>Web, API<\/td>Native payment integration<\/td>N\/A<\/td><\/tr>
                                                                Sift<\/td>Enterprise platforms<\/td>Web, API<\/td>Global fraud network<\/td>N\/A<\/td><\/tr>
                                                                Riskified<\/td>Large e-commerce<\/td>Web, API<\/td>Chargeback protection<\/td>N\/A<\/td><\/tr>
                                                                Forter<\/td>High-scale retail<\/td>Web, API<\/td>Millisecond decisioning<\/td>N\/A<\/td><\/tr>
                                                                SEON<\/td>SMBs & startups<\/td>Web, API<\/td>Explainable risk scores<\/td>N\/A<\/td><\/tr>
                                                                Ekata<\/td>Global identity checks<\/td>API<\/td>Identity intelligence<\/td>N\/A<\/td><\/tr>
                                                                Feedzai<\/td>Banks & PSPs<\/td>Web, API<\/td>Real-time streaming ML<\/td>N\/A<\/td><\/tr>
                                                                Kount<\/td>Omnichannel merchants<\/td>Web, API<\/td>Identity trust network<\/td>N\/A<\/td><\/tr>
                                                                Featurespace<\/td>Financial institutions<\/td>Web, API<\/td>Anomaly detection<\/td>N\/A<\/td><\/tr>
                                                                Arkose Labs<\/td>Bot-heavy environments<\/td>Web, API<\/td>Attack resistance<\/td>N\/A<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                                \n\n\n\n

                                                                Evaluation & Scoring of Payment Fraud Scoring APIs<\/strong><\/h2>\n\n\n\n
                                                                Criteria<\/th>Weight<\/th>Average Score (Top Tools)<\/th><\/tr><\/thead>
                                                                Core features<\/td>25%<\/td>8.8 \/ 10<\/td><\/tr>
                                                                Ease of use<\/td>15%<\/td>7.9 \/ 10<\/td><\/tr>
                                                                Integrations & ecosystem<\/td>15%<\/td>8.4 \/ 10<\/td><\/tr>
                                                                Security & compliance<\/td>10%<\/td>9.2 \/ 10<\/td><\/tr>
                                                                Performance & reliability<\/td>10%<\/td>9.0 \/ 10<\/td><\/tr>
                                                                Support & community<\/td>10%<\/td>8.1 \/ 10<\/td><\/tr>
                                                                Price \/ value<\/td>15%<\/td>7.6 \/ 10<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                                \n\n\n\n

                                                                Which Payment Fraud Scoring APIs Tool Is Right for You?<\/strong><\/h2>\n\n\n\n
                                                                  \n
                                                                • Solo users & startups:<\/strong> SEON or Stripe Radar (if already on Stripe)<\/li>\n\n\n\n
                                                                • SMBs:<\/strong> Sift, Kount, or Ekata for balanced coverage<\/li>\n\n\n\n
                                                                • Mid-market:<\/strong> Riskified or Forter for scalable decisioning<\/li>\n\n\n\n
                                                                • Enterprise & banks:<\/strong> Feedzai or Featurespace<\/li>\n<\/ul>\n\n\n\n

                                                                  Budget-conscious teams<\/strong> should prioritize transparent pricing and explainable scores, while premium buyers<\/strong> benefit from network-level intelligence and managed decisioning.<\/p>\n\n\n\n

                                                                  \n\n\n\n

                                                                  Frequently Asked Questions (FAQs)<\/strong><\/h2>\n\n\n\n
                                                                    \n
                                                                  1. What is a fraud score?<\/strong>
                                                                    A numerical risk indicator showing the likelihood that a transaction is fraudulent.<\/li>\n\n\n\n
                                                                  2. Do fraud scoring APIs block payments automatically?<\/strong>
                                                                    They can, depending on thresholds and configured rules.<\/li>\n\n\n\n
                                                                  3. How fast are fraud scoring APIs?<\/strong>
                                                                    Most return results in milliseconds.<\/li>\n\n\n\n
                                                                  4. Are false positives common?<\/strong>
                                                                    Modern ML tools significantly reduce them, but tuning is essential.<\/li>\n\n\n\n
                                                                  5. Do these tools support global payments?<\/strong>
                                                                    Yes, though coverage varies by provider.<\/li>\n\n\n\n
                                                                  6. Is machine learning always better than rules?<\/strong>
                                                                    Best results usually come from hybrid approaches.<\/li>\n\n\n\n
                                                                  7. Can these tools help reduce chargebacks?<\/strong>
                                                                    Yes, many directly target chargeback reduction.<\/li>\n\n\n\n
                                                                  8. Are they compliant with data protection laws?<\/strong>
                                                                    Most leading tools are GDPR-aligned and SOC-certified.<\/li>\n\n\n\n
                                                                  9. Do I need a data science team?<\/strong>
                                                                    Not for most tools, though advanced platforms benefit from one.<\/li>\n\n\n\n
                                                                  10. Can I use more than one fraud API?<\/strong>
                                                                    Yes, layered defenses are common in high-risk environments.<\/li>\n<\/ol>\n\n\n\n
                                                                    \n\n\n\n

                                                                    Conclusion<\/strong><\/h2>\n\n\n\n

                                                                    Payment Fraud Scoring APIs are no longer optional for businesses processing digital payments at scale. The right tool can dramatically reduce fraud losses, protect customer trust, and improve approval rates<\/strong> without adding unnecessary friction.<\/p>\n\n\n\n

                                                                    There is no single \u201cbest\u201d solution for everyone. The optimal choice depends on transaction volume, industry risk profile, technical maturity, budget, and compliance requirements<\/strong>. By aligning these factors with the strengths of each platform, organizations can build a resilient, future-ready fraud prevention strategy.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                                    Introduction Payment Fraud Scoring APIs are specialized software interfaces that analyze transactions in real time and assign a fraud risk score based on multiple behavioral, device, network, and historical signals…. <\/p>\n","protected":false},"author":58,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[11138],"tags":[16481,23807,23805,23806,23804,23798,14689,23803,23808,23799,23802,23800,23801,16486],"class_list":["post-58304","post","type-post","status-publish","format-standard","hentry","category-best-tools","tag-chargeback-prevention","tag-credit-card-fraud-api","tag-digital-payment-security","tag-ecommerce-fraud-scoring","tag-fintech-fraud-detection","tag-fraud-detection-api","tag-fraud-prevention-software","tag-fraud-risk-assessment-api","tag-machine-learning-fraud-detection","tag-online-payment-fraud-prevention","tag-payment-fraud-analytics","tag-payment-fraud-scoring-api","tag-real-time-fraud-prevention","tag-transaction-risk-scoring"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58304","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=58304"}],"version-history":[{"count":1,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58304\/revisions"}],"predecessor-version":[{"id":58306,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58304\/revisions\/58306"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=58304"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=58304"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=58304"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}