{"id":8526,"date":"2026-08-13T05:02:49","date_gmt":"2026-08-13T05:02:49","guid":{"rendered":"https:\/\/www.coffee.ai\/articles\/best-sales-prospecting-software-2026"},"modified":"2026-08-13T05:02:49","modified_gmt":"2026-08-13T05:02:49","slug":"best-sales-prospecting-software-2026","status":"publish","type":"post","link":"https:\/\/www.coffee.ai\/articles\/best-sales-prospecting-software-2026","title":{"rendered":"Best Sales Prospecting Software 2026: One Agent"},"content":{"rendered":"<p><em>Written by: Doug Camplejohn, CEO &amp; Co-Founder, Coffee<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways for 2026 Prospecting Stacks<\/h2>\n<ul>\n<li>Single-source databases usually reach only 50\u201375% verified match rates on real ICP lists, while multi-provider waterfall enrichment can reach 85%+ accuracy.<\/li>\n<li>Stacked tools create $250\u2013$400 per-rep monthly TCO and integration debt that fragments pipeline data for 10\u201350 person SaaS teams.<\/li>\n<li>Coffee consolidates Lead Finder, Campaigns, and automatic CRM sync into one autonomous agent, replacing separate Apollo, ZoomInfo, or Outreach seats.<\/li>\n<li>Teams can validate any platform\u2019s accuracy with a 48-hour test using their own ICP list to measure verified email coverage and bounce rates before committing.<\/li>\n<li>See how <a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\">Coffee<\/a> reduces TCO and simplifies compliance by replacing three tools with a single autonomous agent.<\/li>\n<\/ul>\n<h2>How Coffee Compares to Apollo, ZoomInfo, Clay, and LinkedIn Sales Navigator<\/h2>\n<p>The table below reveals a core tradeoff in the 2026 prospecting market. Single-source tools keep things simple but sacrifice data coverage, while waterfall approaches improve accuracy at the cost of complexity unless a platform handles the waterfall internally. All cost figures reflect <a href=\"https:\/\/tomba.io\/blog\/cost-of-sales-tech-stack\" target=\"_blank\" rel=\"noindex nofollow\">2026 fully-loaded per-rep monthly TCO benchmarks<\/a>. Data accuracy figures reflect <a href=\"https:\/\/cleanlist.ai\/blog\/2026-05-22-best-b2b-data-providers-2026\" target=\"_blank\" rel=\"noindex nofollow\">Cleanlist&#8217;s 500-Lead Enrichment Benchmark, 2026<\/a>.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criteria<\/th>\n<th>Coffee<\/th>\n<th>Apollo<\/th>\n<th>ZoomInfo<\/th>\n<th>Clay \/ LinkedIn Sales Nav<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Data Accuracy (email)<\/strong><\/td>\n<td>Waterfall-enriched via licensed partners, targets 85%+ verified coverage on ICP lists<\/td>\n<td><a href=\"https:\/\/datamagnet.co\/post\/state-of-b2b-data-2026-enrichment-benchmark-report\" target=\"_blank\" rel=\"noindex nofollow\">Single-source, 50\u201375% verified email match rate on real ICP lists<\/a><\/td>\n<td><a href=\"https:\/\/www.zoominfo.com\/data\" target=\"_blank\" rel=\"noindex nofollow\">ZoomInfo maintains 500M+ professional profiles and 300M+ verified emails<\/a><\/td>\n<td>Clay aggregates multiple providers, coverage varies by waterfall depth. LinkedIn Sales Nav provides profile data, not verified emails.<\/td>\n<\/tr>\n<tr>\n<td><strong>Phone Coverage<\/strong><\/td>\n<td>Built-in enrichment, direct-dial gaps acknowledged (30\u201360% on mid-market contacts)<\/td>\n<td>Single-source, verified direct-dial\/mobile coverage varies<\/td>\n<td><a href=\"https:\/\/www.zoominfo.com\/data\" target=\"_blank\" rel=\"noindex nofollow\">Reports 72% direct-dial and 87% mobile-phone hit rates among its verified contacts<\/a><\/td>\n<td>Clay aggregates multiple providers and can reach <a href=\"https:\/\/cleanlist.ai\/blog\/2026-05-22-best-b2b-data-providers-2026\" target=\"_blank\" rel=\"noindex nofollow\">80\u201385%+ direct-dial\/mobile via 4\u20135-step waterfall<\/a>. LinkedIn Sales Nav does not provide phone data natively.<\/td>\n<\/tr>\n<tr>\n<td><strong>TCO (SMB, 1\u201320 reps)<\/strong><\/td>\n<td>Seat-based, agent labor included. No separate enrichment, sequencing, or CRM logging fees.<\/td>\n<td><a href=\"https:\/\/tomba.io\/blog\/cost-of-sales-tech-stack\" target=\"_blank\" rel=\"noindex nofollow\">$50\u2013$165\/rep\/mo CRM, $10\u2013$120 data, $30\u2013$140 sequencing when stacked<\/a><\/td>\n<td>Enterprise contract minimums make SMB pricing prohibitive, typically bundled into mid-market stacks<\/td>\n<td>Clay charges per enrichment credit, LinkedIn Sales Nav adds $79\u2013$135\/seat\/mo on top of other tools<\/td>\n<\/tr>\n<tr>\n<td><strong>Workflow Consolidation<\/strong><\/td>\n<td>Lead Finder, Campaigns, and automatic CRM sync in one agent, no CSV exports between tools<\/td>\n<td>Native sequencing added in 2024, <a href=\"https:\/\/thestarrconspiracy.com\/insights\/trends\/brief-b2b-lead-generation-platform-trends-2025\" target=\"_blank\" rel=\"noindex nofollow\">still requires separate CRM and often a separate enrichment layer<\/a><\/td>\n<td>Data provider only, requires Outreach, Salesloft, or similar for sequencing<\/td>\n<td>Clay is an enrichment orchestrator, not a sequencer or CRM. LinkedIn Sales Nav requires a full stack around it.<\/td>\n<\/tr>\n<tr>\n<td><strong>GDPR\/CCPA Compliance<\/strong><\/td>\n<td>SOC 2 Type 2 and GDPR compliant, data not used to train public models<\/td>\n<td><a href=\"https:\/\/leadcompliant.com\/articles\/consent-and-optin\/b2b-lead-generation-platforms-gdpr-compliance\" target=\"_blank\" rel=\"noindex nofollow\">Claims legitimate interest, paid $52M FTC settlement in 2021 over data practices<\/a><\/td>\n<td><a href=\"https:\/\/overloop.com\/blog\/sales-prospecting-tools\" target=\"_blank\" rel=\"noindex nofollow\">US-first GDPR posture, EU coverage via addendum only<\/a><\/td>\n<td>Clay: compliance depends on underlying provider mix. LinkedIn Sales Nav: Microsoft DPA applies, EU data residency available.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\">Compare Coffee&#8217;s pricing to your current three-tool stack and see the consolidation savings.<\/a><\/p>\n<h2>Replace Three Prospecting Tools with One Agent<\/h2>\n<p>A mid-market sales tech stack combining CRM, contact data, email verification, and sequencing runs $100\u2013$375 per rep per month in 2026. Sticker price rarely exceeds one-third of true TCO once usage overages, implementation time, and integration debt are counted. For a 10-rep team running Apollo, ZoomInfo, and Outreach, that translates to $1,800\u2013$4,200 per month before admin overhead.<\/p>\n<p>The hidden cost compounds through lost selling time. <a href=\"https:\/\/datamagnet.co\/post\/state-of-b2b-data-2026-enrichment-benchmark-report\" target=\"_blank\" rel=\"noindex nofollow\">Sales development reps waste approximately 27% of their selling time on bad or dirty contact data<\/a>, and <a href=\"https:\/\/seamless.ai\/customers\/reports\/2026-ai-sales-survey\" target=\"_blank\" rel=\"noindex nofollow\">42% of sales reps feel overwhelmed by too many tools<\/a>. Manual stitching of Apollo for prospecting, ZoomInfo for enrichment, and Outreach for sequencing creates exactly the fragmented workflow that drives those numbers.<\/p>\n<p>Coffee&#8217;s autonomous agent replaces that three-tool stack by collapsing the entire workflow into a single interface. Lead Finder builds targeted prospect lists from Coffee&#8217;s own database using natural language search, which removes the need for a separate ZoomInfo or Apollo subscription. Those lists flow directly into Campaigns, which runs multi-step, AI-generated email sequences from the rep&#8217;s own connected mailbox with stop-on-reply by default, so no Outreach or Salesloft seat is required. Because the agent owns the workflow end to end, it can log every interaction back to Salesforce or HubSpot automatically and relieve the 71% of reps who report spending too much time on data entry.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1763678641499-bad085f8165f.gif\" alt=\"Building a company list with Coffee AI\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Building a company list with Coffee AI<\/em><\/figcaption><\/figure>\n<p><a href=\"https:\/\/knowlee.ai\/blog\/sales-point-solution-vs-platform-2026\" target=\"_blank\" rel=\"noindex nofollow\">A typical 5-SDR mid-market stitched stack incurs \u20ac120\u2013260K per year in true TCO<\/a>, versus \u20ac52\u2013150K for a unified platform with one CRM bi-directional sync. The math favors consolidation before headcount grows. TCO savings only matter when the consolidated platform also delivers on data quality, which makes accuracy testing on your own ICP the next critical step.<\/p>\n<h2>48-Hour Accuracy-Testing Playbook for Your ICP<\/h2>\n<p>Every team should run a controlled accuracy test on its own ICP list before committing to any prospecting platform. Use the steps below with your real accounts, not a vendor-supplied sample.<\/p>\n<ol>\n<li><strong>Build a 50-contact test list.<\/strong> Pull 50 real ICP contacts from your CRM or a recent closed-won cohort. Keep industry, seniority band, and company size range consistent with your actual targets.<\/li>\n<li><strong>Submit the identical list to each tool.<\/strong> Use only name, company, and LinkedIn URL as inputs to normalize the test. Submit to Coffee, Apollo, and any incumbent tool you are evaluating.<\/li>\n<li><strong>Measure three outputs per tool.<\/strong> Record verified email coverage, direct-dial or mobile coverage, and right-person match rate. Published 2026 benchmarks of B2B email finders have produced coverage up to 92% on submitted contacts in North America, so treat any vendor claim above that threshold with skepticism.<\/li>\n<li><strong>Validate emails before sending.<\/strong> <a href=\"https:\/\/www.cleanlist.ai\/blog\/2026-06-21-b2b-email-bounce-rate-statistics\" target=\"_blank\" rel=\"noindex nofollow\">Unverified B2B lists routinely bounce at 10\u201320%, while properly verified data can achieve bounce rates under 2% and best-in-class under 0.5%<\/a>. Use a third-party validator on each tool&#8217;s output before you draw conclusions.<\/li>\n<li><strong>Score and compare.<\/strong> The tool with the highest verified email coverage and lowest bounce rate on your specific ICP wins, not the tool with the largest advertised database. Independent tests show B2B data provider coverage varying widely on the same input list, with no single provider leading on both coverage and accuracy simultaneously, which is why the 50\u201375% single-source benchmark from the comparison table matters less than your own test results.<\/li>\n<\/ol>\n<h2>Scenario Guidance for Common Team Setups<\/h2>\n<p>The right Coffee deployment model depends on team size, existing stack, and primary pain point.<\/p>\n<p><strong>Small teams (1\u201320 reps) outgrowing spreadsheets.<\/strong> These teams need a system of record that does not require a dedicated RevOps engineer to maintain. The surge in workflow automation adoption across this cohort shows they are actively moving away from manual tools toward automated systems. Coffee&#8217;s Standalone CRM deploys the agent as the system of record, with contacts auto-created from Google Workspace or Microsoft 365, sequences launched from Lead Finder, and pipeline tracked automatically, so no Salesforce or HubSpot license is required.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1763678186019-5cc1a76ac78e.gif\" alt=\"Build people lists automatically with Coffee AI CRM Agent\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Build people lists automatically with Coffee AI CRM Agent<\/em><\/figcaption><\/figure>\n<p><strong>Mid-market teams (20\u201350 reps) on Salesforce or HubSpot.<\/strong> These teams have invested in a CRM but suffer from low adoption and dirty data because reps treat the CRM as a chore. Coffee&#8217;s Companion App deploys the agent as an intelligent layer on top of the existing Salesforce or HubSpot instance, handling enrichment, activity logging, and meeting summaries without replacing the system of record. <a href=\"https:\/\/futurecio.tech\/salesops-are-spending-more-time-on-non-sales-activities\/\" target=\"_blank\" rel=\"noindex nofollow\">Gartner reports that SalesOps teams allocate 73% of their time to supporting non-sales functions<\/a>, and the Companion App targets that data-entry and admin overhead directly.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1763678321672-5c8717cf0024.gif\" alt=\"Create instant meeting follow-up emails with the Coffee AI CRM agent\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Create instant meeting follow-up emails with the Coffee AI CRM agent<\/em><\/figcaption><\/figure>\n<p><strong>European teams requiring GDPR-compliant data.<\/strong> Cumulative GDPR fines reached \u20ac7.1 billion by January 2026, so EU-facing teams need a clean compliance story. Coffee is SOC 2 Type 2 and GDPR compliant, with data not used to train public models. Teams must still document their own Legitimate Interest Assessment for cold outreach, but Coffee&#8217;s single sub-processor model simplifies the audit trail compared to a 10-tool stack. <a href=\"https:\/\/knowlee.ai\/blog\/sales-point-solution-vs-platform-2026\" target=\"_blank\" rel=\"noindex nofollow\">Consolidation into a unified platform reduces GDPR sub-processor compliance burden and simplifies DSAR responses by replacing 8+ vendor-specific logs with a single coherent governance layer.<\/a><\/p>\n<p><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\">Start your Coffee trial and run the 48-hour accuracy test on your own ICP list.<\/a><\/p>\n<h2>Risks and Limitations of Coffee&#8217;s Consolidation Model<\/h2>\n<p>No prospecting platform is without tradeoffs. Teams evaluating Coffee should account for the following constraints.<\/p>\n<ul>\n<li><strong>Phone-data gaps.<\/strong> <a href=\"https:\/\/cleanlist.ai\/blog\/2026-07-09-state-of-b2b-data-2026\" target=\"_blank\" rel=\"noindex nofollow\">Verified mobile phone coverage remains significantly lower across all major sources in 2026<\/a>, with single-source tools returning direct-dial or mobile numbers for only 30\u201360% of contacts. Coffee&#8217;s built-in enrichment reflects this industry-wide limitation. Teams with high-volume cold-calling workflows may need to supplement with a dedicated phone-data provider.<\/li>\n<li><strong>SOC 2 scope.<\/strong> Coffee holds SOC 2 Type 2 certification. Teams in heavily regulated industries such as healthcare and financial services that require multi-year security reviews or custom data residency agreements sit outside Coffee&#8217;s current ICP.<\/li>\n<li><strong>Integration depth.<\/strong> Third-party integrations beyond Salesforce and HubSpot currently route through Zapier. Deeper native integrations are on the product roadmap. Teams with complex multi-system RevOps architectures should validate specific integration requirements before migrating.<\/li>\n<li><strong>EU AI Act disclosure obligations.<\/strong> <a href=\"https:\/\/disclos.eu\/eu-ai-act-for\/salestech-crm\" target=\"_blank\" rel=\"noindex nofollow\">Under EU AI Act Article 50, AI-generated cold email sent to EU contacts without disclosure of its AI-generated nature constitutes a violation as of August 2026.<\/a> The obligation falls on the deployer, not the platform. Teams using Coffee&#8217;s Campaigns feature for EU outreach must add AI-disclosure language to their email footers independently.<\/li>\n<\/ul>\n<h2>One-Page Decision Matrix for Coffee Deployment<\/h2>\n<p>Use the matrix below to identify which Coffee deployment model fits your current situation. Match your team size and existing stack to see whether you need the Standalone CRM, which replaces everything, or the Companion App, which layers on top of Salesforce or HubSpot.<\/p>\n<table>\n<thead>\n<tr>\n<th>Company Size<\/th>\n<th>Current Stack<\/th>\n<th>Top Pain Point<\/th>\n<th>Recommended Path<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1\u201320 reps<\/td>\n<td>Spreadsheets \/ Notion<\/td>\n<td>No system of record, manual everything<\/td>\n<td>Coffee Standalone CRM, agent handles data in and out from day one<\/td>\n<\/tr>\n<tr>\n<td>1\u201320 reps<\/td>\n<td>Apollo or similar point tool<\/td>\n<td>High TCO, fragmented outreach<\/td>\n<td>Coffee Standalone CRM, consolidates Lead Finder, Campaigns, and CRM into one seat-based price<\/td>\n<\/tr>\n<tr>\n<td>20\u201350 reps<\/td>\n<td>Salesforce or HubSpot + ZoomInfo + Outreach<\/td>\n<td>Low CRM adoption, dirty data, high stack cost<\/td>\n<td>Coffee Companion App, agent enriches and logs to existing CRM and lets you decommission ZoomInfo and Outreach seats<\/td>\n<\/tr>\n<tr>\n<td>20\u201350 reps<\/td>\n<td>Salesforce or HubSpot only<\/td>\n<td>No prospecting or sequencing capability<\/td>\n<td>Coffee Companion App, adds Lead Finder and Campaigns without replacing the CRM<\/td>\n<\/tr>\n<tr>\n<td>Any size, EU-facing<\/td>\n<td>US-first tools (Apollo, ZoomInfo)<\/td>\n<td>GDPR compliance risk, sub-processor sprawl<\/td>\n<td>Coffee (SOC 2 Type 2, GDPR compliant) plus your own LIA documentation for outreach campaigns<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The decision matrix above narrows your deployment path, but most teams still have tactical questions about implementation, security, and migration before they commit. The FAQ below addresses the most common concerns.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How long does it take to implement Coffee?<\/h3>\n<p>For the Standalone CRM, most small teams are operational within a single business day. Coffee connects to Google Workspace or Microsoft 365 through a simple authentication, after which the agent immediately begins auto-creating contacts and companies from existing emails and calendar events. There is no data model to configure, no custom fields to map, and no implementation consultant required. For the Companion App on Salesforce or HubSpot, setup involves authenticating Coffee against the existing CRM instance. The agent then begins syncing enrichment data and logging activities to existing records. Teams with standard Salesforce or HubSpot configurations typically complete this in under 48 hours, while heavily customized instances should allow additional time for field mapping validation.<\/p>\n<h3>What data security certifications does Coffee hold?<\/h3>\n<p>Coffee is SOC 2 Type 2 certified and GDPR compliant. Data ingested by the Coffee Agent, including emails, calendar events, call transcripts, and enriched contact records, is not used to train public AI models. For teams operating in the EU, Coffee functions as a data processor under GDPR, and a Data Processing Agreement is available. Teams conducting outbound campaigns to EU contacts remain responsible for documenting their own Legitimate Interest Assessment, maintaining suppression lists, and including required opt-out mechanisms in every email. Coffee&#8217;s single-agent architecture reduces the sub-processor surface area compared to a multi-tool stack and simplifies the compliance audit trail.<\/p>\n<h3>How difficult is it to migrate from Apollo or ZoomInfo exports into Coffee?<\/h3>\n<p>Migration from Apollo or ZoomInfo is straightforward for contact and company records. Both platforms support CSV export of contact lists, which Coffee can ingest directly. Once imported, the Coffee Agent enriches records using its own licensed data partners, filling gaps in job titles, funding data, LinkedIn profiles, and email validity without a separate enrichment step. Existing Outreach or Salesloft sequences do not migrate automatically, so campaign copy and sequence logic must be rebuilt inside Coffee&#8217;s Campaigns feature, which supports AI-generated sequence creation from a plain-English description. Teams with large active sequence libraries should plan a parallel-run period of two to four weeks before decommissioning the legacy sequencing tool.<\/p>\n<h3>Does Coffee work if my team already uses Salesforce?<\/h3>\n<p>Yes. Coffee&#8217;s Companion App is designed for teams committed to Salesforce or HubSpot. The agent authenticates against the existing Salesforce instance and operates as an intelligent layer on top of it, auto-creating contacts, enriching records, logging call summaries, and tracking pipeline changes without replacing Salesforce as the system of record. Coffee has deep knowledge of Salesforce&#8217;s architecture, including quotas, forecasting, required fields, and multi-object relationships, which distinguishes it from newer AI CRM alternatives that lack this integration depth. The Companion App effectively adds Lead Finder, Campaigns, and autonomous data entry to a Salesforce instance without requiring separate ZoomInfo, Outreach, or Gong subscriptions.<\/p>\n<h3>How does Coffee handle contact data decay?<\/h3>\n<p>B2B contact data decays at approximately 2.1% per month, which compounds to roughly 22.5% annually under standard snapshot-based measurement. Coffee addresses decay through continuous enrichment. The agent re-verifies and updates contact records as it processes new email and calendar signals from connected Google Workspace or Microsoft 365 accounts. When a contact changes roles or companies, the agent detects the signal from communication patterns and updates the record accordingly. For contacts outside the connected communication graph, such as prospects who have never been emailed, Coffee relies on its licensed data partners for enrichment freshness, which remains subject to the same industry-wide decay rates as any single-source database.<\/p>\n<h2>Conclusion: Why Single-Agent Consolidation Wins<\/h2>\n<p>The 2026 sales prospecting software decision for 10\u201350 person SaaS teams centers on a clear choice. Teams can pay $250\u2013$400 per rep per month to maintain three separate tools with fragmented data and 50\u201375% ICP match rates, or they can consolidate into one autonomous agent that handles prospecting, sequencing, enrichment, and CRM logging at lower TCO with 85%+ waterfall coverage. Organizations with well-integrated tech stacks are more likely to increase sales productivity than those with fragmented tools, and industry benchmarks show cost reduction and strong ROI from aggressive consolidation. The stack-reduction opportunity is measurable, the migration path is defined, and the compliance case for a single-agent architecture is stronger than ever heading into the second half of 2026.<\/p>\n<p><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\">Replace your Apollo, ZoomInfo, and Outreach seats with Coffee&#8217;s single-agent architecture.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Stop paying for Apollo, ZoomInfo &amp; Outreach separately. Coffee consolidates prospecting into one autonomous agent \u2014 cutting TCO and boosting accuracy.<\/p>\n","protected":false},"author":11,"featured_media":8525,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-8526","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/posts\/8526","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/comments?post=8526"}],"version-history":[{"count":0,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/posts\/8526\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/media\/8525"}],"wp:attachment":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/media?parent=8526"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/categories?post=8526"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/tags?post=8526"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}