{"id":5461,"date":"2026-05-11T13:29:25","date_gmt":"2026-05-11T13:29:25","guid":{"rendered":"https:\/\/verbix.ai\/blog\/?p=5461"},"modified":"2026-05-13T12:31:06","modified_gmt":"2026-05-13T12:31:06","slug":"real-time-vs-post-call-analytics","status":"publish","type":"post","link":"https:\/\/verbix.ai\/blog\/real-time-vs-post-call-analytics\/","title":{"rendered":"Real-Time vs Post-Call Analytics: What Matters More?"},"content":{"rendered":"\n<p>Customer conversations represent one of the most valuable\u2002sources of business intelligence. Intent, sentiment, compliance risk, and revenue opportunities are all within support calls, sales conversations and customer\u2002queries. But the big question for\u2002today\u2019s contact centers isn\u2019t whether analytics have value \u2014 it\u2019s when they have the most value.<\/p>\n\n\n\n<p>Should businesses invest in real-time analytics that help agents conduct more informed live conversations or post-call analytics that identify trends\u2002after the conversation is over?<\/p>\n\n\n\n<p>The\u2002reality is: they both have significant roles to play, albeit in very different pain points. Knowing\u2002where each strategy has the greatest impact can help them enhance customer experience, increase efficiency and deliver maximum ROI.<\/p>\n\n\n\n<p>Tools and services such as <a href=\"http:\/\/verbix.ai\">Verbix.ai<\/a> are enabling enterprises to integrate both methodologies into one cohesive AI powered customer intelligence strategy.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Is Real-Time Call Analytics?<\/strong><\/h2>\n\n\n\n<p>Real-time analytics is a term that is used for AI-based systems that monitor conversations\u2002as they take place. Utilizing speech\u2002recognition, sentiment analysis, intent detection and compliance validation, these platforms instantly interpret speech.&nbsp;<\/p>\n\n\n\n<p>Rather than waiting until\u2002after a call to provide such information, both managers and agents are getting live feedback during the conversation.&nbsp;<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Key Capabilities of Real-Time Analytics<\/strong><\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Live transcription<\/li>\n\n\n\n<li>real-time sentiment detection<\/li>\n\n\n\n<li>Compliance alerts<\/li>\n\n\n\n<li>Monitoring\u2002of Script compliance<\/li>\n\n\n\n<li>Agent guidance tips -\u2002Escalation triggers<\/li>\n\n\n\n<li>Intent based call routing<\/li>\n<\/ul>\n\n\n\n<p>From what I\u2019m hearing at industry events, enterprises that do capture live sentiment analysis are able to spot frustrated callers early and engage\u2002before an escalation occurs.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-style-default\"><a href=\"https:\/\/verbix.ai\/blog\/wp-content\/uploads\/2026\/05\/real-time-vs-post-call-analytics-customer-experience-infographic.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"574\" src=\"https:\/\/verbix.ai\/blog\/wp-content\/uploads\/2026\/05\/real-time-vs-post-call-analytics-customer-experience-infographic-1024x574.png\" alt=\"the difference between real-time call analytics and post-call insights in customer support\" class=\"wp-image-5462\" srcset=\"https:\/\/verbix.ai\/blog\/wp-content\/uploads\/2026\/05\/real-time-vs-post-call-analytics-customer-experience-infographic-1024x574.png 1024w, https:\/\/verbix.ai\/blog\/wp-content\/uploads\/2026\/05\/real-time-vs-post-call-analytics-customer-experience-infographic-300x168.png 300w, https:\/\/verbix.ai\/blog\/wp-content\/uploads\/2026\/05\/real-time-vs-post-call-analytics-customer-experience-infographic-768x430.png 768w, https:\/\/verbix.ai\/blog\/wp-content\/uploads\/2026\/05\/real-time-vs-post-call-analytics-customer-experience-infographic.png 1328w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Is Post-Call Analytics?<\/strong><\/h2>\n\n\n\n<p>Post-call analytics\u2002is a feature that occurs once the interaction is over. AI-based solutions process full conversations\u2002to create summaries, detect patterns, rank performances, and reveal business insights of the long term. This method is not\u2002so much about preserving the current interaction as it is about enhancing future ones.&nbsp;<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>Key Capabilities of Post-Call Analytics<\/strong><\/h5>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Automated call summaries<\/li>\n\n\n\n<li>Agent scorecards<\/li>\n\n\n\n<li>Trend analysis<\/li>\n\n\n\n<li>Keyword and intent reporting<\/li>\n\n\n\n<li>QA automation<\/li>\n\n\n\n<li>Customer journey insights<\/li>\n\n\n\n<li>Coaching recommendations<\/li>\n\n\n\n<li>Historical performance tracking<\/li>\n<\/ul>\n\n\n\n<p>Post-call analytics is particularly useful for companies seeking to scale quality assurance\u2002across thousands of calls. AI-powered solutions can analyze 100% of interactions rather than depending on a\u2002random sampling of calls.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Real-Time Analytics: The Biggest Advantages<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Prevent Problems Before They Escalate<\/strong><\/h3>\n\n\n\n<p>Conventional call monitoring\u2002is reactive. Supervisors are only aware\u2002of problems once the damage has been done.&nbsp;<\/p>\n\n\n\n<p>Real-time analytics flips this\u2002entire process on its head. &nbsp;<\/p>\n\n\n\n<p>AI can\u2002detect:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Rising customer frustration<\/li>\n\n\n\n<li>Silence gaps<\/li>\n\n\n\n<li>Compliance violations<\/li>\n\n\n\n<li>Escalation risk<\/li>\n\n\n\n<li>Negative sentiment changes&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>This enables companies to take immediate action rather than\u2002reviewing complaints afterward. &nbsp;<\/p>\n\n\n\n<p>For example:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A supervisor can join a difficult call\u2002immediately.<\/li>\n\n\n\n<li>An agent can get nudges while talking\u2002to someone.<\/li>\n\n\n\n<li>A compliance breach can\u2002be identified before the company is exposed legally.<\/li>\n<\/ul>\n\n\n\n<p>That forward-looking capability is the\u2002greatest strength of real-time intelligence.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Better Agent Performance During Calls<\/strong><\/h3>\n\n\n\n<p>Real-time AI coaching enables agents to\u2002take more intelligent actions while in the moment.&nbsp;<\/p>\n\n\n\n<p>Modern AI systems can:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Suggest next-best actions<\/li>\n\n\n\n<li>Recommend responses<\/li>\n\n\n\n<li>Detect script deviations<\/li>\n\n\n\n<li>Provide live knowledge assistance<\/li>\n<\/ul>\n\n\n\n<p>This results in faster handling times\u2002as well as better customer satisfaction.&nbsp;<\/p>\n\n\n\n<p>According to those in the field, live keyword detection and real-time coaching go a long\u2002way toward increasing the success of training sessions, and the rate of solving problems.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Faster Customer Resolution<\/strong><\/h3>\n\n\n\n<p>Customers expect immediate\u2002solutions.&nbsp;<\/p>\n\n\n\n<p>Real-time analytics supports:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Smarter call routing<\/li>\n\n\n\n<li>Instant intent recognition<\/li>\n\n\n\n<li>Reduced transfers<\/li>\n\n\n\n<li>Faster escalation handling<\/li>\n<\/ul>\n\n\n\n<p>AI-powered routing systems can identify customer intent within seconds and connect callers to the right department faster than traditional IVR systems.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Stronger Compliance Protection<\/strong><\/h3>\n\n\n\n<p>Industries such as healthcare, finance, insurance, and telecom have stringent compliance\u2002standards.&nbsp;<\/p>\n\n\n\n<p>Real-time analytics can instantly detect:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Missing disclosures<\/li>\n\n\n\n<li>Sensitive data exposure<\/li>\n\n\n\n<li>Script non-compliance<\/li>\n\n\n\n<li>Regulatory violations<\/li>\n<\/ul>\n\n\n\n<p>This minimizes legal exposure and allows companies to remain\u2002operationally sound.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Post-Call Analytics: The Biggest Advantages<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. <\/strong><strong>Advanced<\/strong><strong> Business Intelligence<\/strong><\/h3>\n\n\n\n<p>Post-call analysis is optimized for\u2002pattern detection in large datasets. Business gather the insights of :<\/p>\n\n\n\n<p>Businesses can analyze:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Common customer complaints<\/li>\n\n\n\n<li>Product issues<\/li>\n\n\n\n<li>Conversion\u2002trends<\/li>\n\n\n\n<li>Churn signals<\/li>\n\n\n\n<li>Competitive mentions<\/li>\n\n\n\n<li>Agent performance patterns<\/li>\n<\/ul>\n\n\n\n<p>These insights are critical for long-term strategic improvements.<\/p>\n\n\n\n<p>Rather\u2002than focusing its attention on immediate action, post-call analysis results in a wider view of operations.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Scalable Quality Assurance<\/strong><\/h3>\n\n\n\n<p>Manual QA reviews are slow and\u2002partial.&nbsp;<\/p>\n\n\n\n<p>Numerous organizations conduct only 1 or 2 percent of their calls that are reviewed manually, and most conversations\u2002are not monitored. &nbsp;<\/p>\n\n\n\n<p>Post-call AI analytics enables organizations to: &nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Review all conversations<\/li>\n\n\n\n<li>Auto-score calls<\/li>\n\n\n\n<li>Standardize QA workflows<\/li>\n\n\n\n<li>Decrease supervisor QA load &nbsp;<\/li>\n<\/ul>\n\n\n\n<p>This allows for a more objective performance measurement and consequently better coaching.\u2002&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/verbix.ai\/blog\/wp-content\/uploads\/2026\/05\/post-call-analytics-biggest-advantages-infographic.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"574\" src=\"https:\/\/verbix.ai\/blog\/wp-content\/uploads\/2026\/05\/post-call-analytics-biggest-advantages-infographic-1024x574.png\" alt=\"Benefits of post-call analytics for improving customer service quality and agent performance\" class=\"wp-image-5463\" srcset=\"https:\/\/verbix.ai\/blog\/wp-content\/uploads\/2026\/05\/post-call-analytics-biggest-advantages-infographic-1024x574.png 1024w, https:\/\/verbix.ai\/blog\/wp-content\/uploads\/2026\/05\/post-call-analytics-biggest-advantages-infographic-300x168.png 300w, https:\/\/verbix.ai\/blog\/wp-content\/uploads\/2026\/05\/post-call-analytics-biggest-advantages-infographic-768x430.png 768w, https:\/\/verbix.ai\/blog\/wp-content\/uploads\/2026\/05\/post-call-analytics-biggest-advantages-infographic.png 1328w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Automated Documentation<\/strong><\/h3>\n\n\n\n<p>Automation is one of the most useful\u2002advantages of post-call analytics. &nbsp;<\/p>\n\n\n\n<p>Agent\u2002workload is reduced with AI-generated summaries by automatically producing the following: &nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Call notes&nbsp;<\/li>\n\n\n\n<li>Action items<\/li>\n\n\n\n<li>CRM updates<\/li>\n\n\n\n<li>Follow-up\u2002recommendations&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>Industry users claim to have saved several\u2002minutes per interaction just from automated summaries.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Better Coaching and Training<\/strong><\/h3>\n\n\n\n<p>The post-call\u2002analysis allows supervisors to identify:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Repeated errors<\/li>\n\n\n\n<li>Opportunities for coaching<\/li>\n\n\n\n<li>Skill\u2002deficiencies<\/li>\n\n\n\n<li>Effective behaviors&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>Rather than subjective appraisals, AI delivers objective\u2002performance intelligence. &nbsp;<\/p>\n\n\n\n<p>This leads to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>faster onboarding&nbsp;<\/li>\n\n\n\n<li>Consistent coaching&nbsp;<\/li>\n\n\n\n<li>Enhanced agent confidence&nbsp;<\/li>\n\n\n\n<li>Training\u2002program that is driven by data&nbsp;<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Where Real-Time Analytics Falls Short<\/strong><\/h2>\n\n\n\n<p>Real-time analytics is not without its\u2002drawbacks.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>High Infrastructure Requirements<\/strong><\/h3>\n\n\n\n<p>Real-time AI systems need to be:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Low-latency speech processing<\/li>\n\n\n\n<li>Faster infrastructure<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Continuous AI\u2002computation<\/li>\n\n\n\n<li>Stable\u2002integrations&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>Talking about latency, the problem is even worse in voice\u2002chat when voicing online submission-based ops, as any delay cays her answer to the question in real-time in live conversations, Industry experts have said that delays as long as 800ms\u20131.5 seconds can break natural conversation flow.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Information Overload<\/strong><\/h3>\n\n\n\n<p>Too many real-time alerts\u2002can also be overwhelming for agents and supervisors.&nbsp;<\/p>\n\n\n\n<p>Without careful optimization:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Notifications become distracting<\/li>\n\n\n\n<li>Agents may ignore prompts<\/li>\n\n\n\n<li>Alert fatigue diminishes\u2002effectiveness&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>Companies need to\u2002strike a balance between helpfulness and usability.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Less Strategic Context<\/strong><\/h3>\n\n\n\n<p>Real-time analysis is on immediate action\u2002rather than long term trends.<\/p>\n\n\n\n<p>It may alert to an irate customer today but will not\u2002tell you:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Why are complaints rising over a six\u2002month period?<\/li>\n\n\n\n<li>Which products do people have\u2002the most problems with?&#8221;<\/li>\n\n\n\n<li>Which scripts\u2002have the greatest impact on long-term churn?&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>That\u2002larger, more generalised view, is the domain of the post-call analytics.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Where Post-Call Analytics Falls Short<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Reactive Instead of Preventive<\/strong><\/h3>\n\n\n\n<p>Timing is also\u2002the greatest weakness of post-call analytics;&nbsp;<\/p>\n\n\n\n<p>By\u2002the time the issues are uncovered:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The customer has already been\u2002lost<\/li>\n\n\n\n<li>Escalations\u2002could have taken place<\/li>\n\n\n\n<li>Compliance violations may have already\u2002happened<\/li>\n<\/ul>\n\n\n\n<p>Post-call analytics can help an organisation improve future engagements, but the current engagement isn\u2019t very\u2002helped.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Slower Operational Response<\/strong><\/h3>\n\n\n\n<p>Trend analysis is useful, but it\u2002typically occurs hours or days afterward.&nbsp;<\/p>\n\n\n\n<p>Businesses that require\u2002real-time responsiveness \u2014 particularly those that operate in the high-volume support space \u2014 might consider the post-call only approach too sluggish.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>So, What Matters More?<\/strong><\/h2>\n\n\n\n<p>The answer depends on business goals.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Business Need<\/strong><\/td><td><strong>Best Approach<\/strong><\/td><\/tr><tr><td>Prevent escalations live<\/td><td>Real-time analytics<\/td><\/tr><tr><td>Improve agent coaching<\/td><td>Post-call analytics<\/td><\/tr><tr><td>Compliance monitoring<\/td><td>Real-time analytics<\/td><\/tr><tr><td>Long-term trend analysis<\/td><td>Post-call analytics<\/td><\/tr><tr><td>Reduce customer churn immediately<\/td><td>Real-time analytics<\/td><\/tr><tr><td>QA automation<\/td><td>Post-call analytics<\/td><\/tr><tr><td>Operational intelligence<\/td><td>Post-call analytics<\/td><\/tr><tr><td>Faster resolutions<\/td><td>Real-time analytics<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>In practice, the best customer experience strategies are a combination of the\u2002two.&nbsp;<\/p>\n\n\n\n<p>Realtime analytics enhances the present\u2002dialogue.&nbsp;<\/p>\n\n\n\n<p>Post\u2002call analytics enhances future conversations.&nbsp;<\/p>\n\n\n\n<p>Combined, they form a\u2002feedback loop for continual improvement.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>The Future: Unified AI Analytics<\/strong><\/h2>\n\n\n\n<p>The future of customer intelligence is not about picking either real-time\u2002or post-call analytics \u2014 it\u2019s about merging them in a single AI environment.<\/p>\n\n\n\n<p>Modern platforms like Verbix.ai combine:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Monitoring in real-time -\u2002Sentiment Analysis<\/li>\n\n\n\n<li>Automated\u2002QA<\/li>\n\n\n\n<li>Post-call\u2002intelligence<\/li>\n\n\n\n<li>Analytics\u2002predictive<\/li>\n\n\n\n<li>Coaching\u2002for agents<\/li>\n\n\n\n<li>Compliance\u2002automation&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>This unified approach allows companies\u2002to:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Immediately respond<\/li>\n\n\n\n<li>Learn at\u2002all times<\/li>\n\n\n\n<li>Scale up operations<\/li>\n<\/ul>\n\n\n\n<p>You can React instantly, Learn continuously, and Optimize at scale. As AI advances, \u201canalytics will increasingly be predictive and prescriptive \u2014 they\u2019ll help businesses not just understand\u2002what people were talking about, but also do something that actively improves outcomes automatically.\u201d&nbsp;<\/p>\n\n\n\n<blockquote class=\"wp-block-quote conclusion_cls is-layout-flow wp-block-quote-is-layout-flow\">\n<h3 class=\"wp-block-heading\"><strong>Final Thoughts<\/strong><\/h3>\n\n\n\n<p>Real-time and post-call\u2002analytics work hand-in-hand \u2014 they are not rivals. They are two different technologies that\u2002complement each other on two distinct problems in the customer journey.<br>If your focus is on:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>proactive intervention<\/li>\n\n\n\n<li>live customer satisfaction<\/li>\n\n\n\n<li>immediate resolution of issues<\/li>\n<\/ul>\n\n\n\n<p>Then real-time analytics provides the most value.<br>If you are interested in:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Operational\u2002Intelligence,<\/li>\n\n\n\n<li>Coaching,<\/li>\n\n\n\n<li>QA scalability and<\/li>\n\n\n\n<li>Strategic\u2002Optimization<\/li>\n<\/ul>\n\n\n\n<p>Then post-call analytics is\u2002crucial.&nbsp;The best contact centers leverage both to enable faster, smarter and more\u2002customer-centric operations.<\/p>\n\n\n\n<p>And in the AI-fueled future of customer experience, companies that com<\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Customer conversations represent one of the most valuable\u2002sources of business intelligence. Intent, sentiment, compliance risk, and revenue opportunities are all within support calls, sales conversations and customer\u2002queries. But the big question for\u2002today\u2019s contact centers isn\u2019t whether analytics have value \u2014 it\u2019s when they have the most value. Should businesses invest in real-time analytics that help [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":5464,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-5461","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-knowledge"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/verbix.ai\/blog\/wp-json\/wp\/v2\/posts\/5461","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/verbix.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/verbix.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/verbix.ai\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/verbix.ai\/blog\/wp-json\/wp\/v2\/comments?post=5461"}],"version-history":[{"count":1,"href":"https:\/\/verbix.ai\/blog\/wp-json\/wp\/v2\/posts\/5461\/revisions"}],"predecessor-version":[{"id":5465,"href":"https:\/\/verbix.ai\/blog\/wp-json\/wp\/v2\/posts\/5461\/revisions\/5465"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/verbix.ai\/blog\/wp-json\/wp\/v2\/media\/5464"}],"wp:attachment":[{"href":"https:\/\/verbix.ai\/blog\/wp-json\/wp\/v2\/media?parent=5461"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/verbix.ai\/blog\/wp-json\/wp\/v2\/categories?post=5461"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/verbix.ai\/blog\/wp-json\/wp\/v2\/tags?post=5461"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}