{"id":7791,"date":"2026-06-18T05:08:23","date_gmt":"2026-06-18T05:08:23","guid":{"rendered":"https:\/\/www.coffee.ai\/articles\/best-zoominfo-alternatives-budget-prospecting"},"modified":"2026-06-18T05:08:23","modified_gmt":"2026-06-18T05:08:23","slug":"best-zoominfo-alternatives-budget-prospecting","status":"publish","type":"post","link":"https:\/\/www.coffee.ai\/articles\/best-zoominfo-alternatives-budget-prospecting","title":{"rendered":"Best ZoomInfo Alternatives for Budget Prospecting"},"content":{"rendered":"<p><em>Written by: Doug Camplejohn, CEO &amp; Co-Founder, Coffee<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>A budget prospecting stack for small teams combines contact data, enrichment, sequencing, and CRM tools within a $100\u2013$500 monthly range.<\/li>\n<li>At the $100 tier, teams rely on single-seat tools, accept accuracy trade-offs, and see bounce rates climb as data decays.<\/li>\n<li>The $300\u2013$500 tiers support Apollo plus Clay stacks but introduce variable API fees, manual data entry, and hidden labor that raise true TCO.<\/li>\n<li>Consolidation reduces tool sprawl, and multi-source enrichment with continuous refresh is the only reliable defense against 22\u201330% annual B2B data decay.<\/li>\n<li><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\">See how Coffee consolidates your entire prospecting stack into one agent at a flat per-seat rate.<\/a><\/li>\n<\/ul>\n<h2>Best ZoomInfo Alternatives at the $100 Tier for Small Teams<\/h2>\n<p>A hard $100 monthly cap for three reps limits realistic options to entry-level credit-based tools used individually instead of as a full stack.<\/p>\n<p><strong>Apollo.io Free \/ Basic:<\/strong> Apollo\u2019s free tier is limited to 10 exports per month. The Basic paid plan runs $49\/user\/month on annual billing, which puts three seats at $147\/month, already over the $100 cap. One seat fits the budget; three do not. Email accuracy on Apollo sits at 65\u201370% in some independent tests, so roughly 1 in 3 emails bounces.<\/p>\n<p><strong>Lusha for Direct Dials:<\/strong> Lusha\u2019s Pro tier starts at $52.45\/user\/month billed annually, or <a href=\"https:\/\/www.saasbluebook.com\/tools\/lusha\/\" target=\"_blank\" rel=\"noindex nofollow\">$69.90\/user\/month billed monthly<\/a>. Two seats land at about $75\u2013$98\/month, which stays just inside the cap. Coverage is strong for North American direct dials, but the credit system means high-volume teams burn through allocations quickly.<\/p>\n<p><strong>RocketReach and Datanyze for Basic Coverage:<\/strong> <a href=\"https:\/\/thecmo.com\/tools\/best-b2b-data-providers\" target=\"_blank\" rel=\"noindex nofollow\">Datanyze starts at $29\/month<\/a> for tech-stack-filtered contacts. RocketReach\u2019s entry tier fits under $100 for one seat. Neither tool includes sequencing, so teams add a separate outreach tool, which pushes real TCO above the stated cap once Instantly ($37\/month) or Lemlist enters the mix.<\/p>\n<p><strong>TCO reality at $100:<\/strong> One enrichment seat plus one sequencing tool fits the budget, but only for a single user, because three reps sharing one login violates most terms of service. That constraint forces a choice between compliance and coverage. The coverage that remains degrades quickly: <a href=\"https:\/\/saber.app\/glossary\/data-decay\" target=\"_blank\" rel=\"noindex nofollow\">email bounce rates rise from a healthy 2\u20133% to 10\u201315% when contact data decays<\/a>, and B2B data decays at approximately 30% annually. At this price point, refresh cycles stay infrequent, so decay becomes a material risk.<\/p>\n<h2>ZoomInfo Alternatives with Apollo and Clay at the $300 Tier<\/h2>\n<p>The $300 tier is where Apollo plus Clay combinations become viable, and this stack dominates 2026 sales community discussions.<\/p>\n<p><strong>Apollo + Clay Starter:<\/strong> <a href=\"https:\/\/expandi.io\/blog\/b2b-prospecting-tool\" target=\"_blank\" rel=\"noindex nofollow\">Apollo\u2019s entry plan runs $59\/user\/month billed monthly<\/a>, so one seat costs $59. <a href=\"https:\/\/expandi.io\/blog\/b2b-prospecting-tool\" target=\"_blank\" rel=\"noindex nofollow\">Clay\u2019s Starter plan is $149\/month for 2,000 credits<\/a>. Combined, that totals about $208\/month for one rep plus enrichment automation. Adding a second Apollo seat reaches $267\/month, which still sits under $300. However, Clay\u2019s waterfall enrichment costs $0.15\u2013$0.30 per contact in API fees beyond the base subscription. At 1,000 enrichments per month, API fees add $150\u2013$300 on top, which pushes real TCO to $420\u2013$570\/month, well above the stated cap.<\/p>\n<p><strong>Apollo alone for three seats:<\/strong> Three seats at $49\/user\/month on annual billing total $147\/month, leaving $153 for sequencing. Instantly\u2019s Growth plan at $37\/month fits the remainder. This stack covers data and outreach for about $184\/month but requires manual CRM logging, which <a href=\"https:\/\/porchgroupmedia.com\/blog\/data-hygiene-statistics\" target=\"_blank\" rel=\"noindex nofollow\">consumes up to 32% of sales time on data quality issues alone<\/a>.<\/p>\n<p><strong>Accuracy note:<\/strong> <a href=\"https:\/\/www.cleanlist.ai\/alternatives\/apollo\" target=\"_blank\" rel=\"noindex nofollow\">Apollo achieved about 80% single-source email accuracy in Cleanlist\u2019s 2026 tests of competitors on 500- or 1,000-lead datasets<\/a>, while a multi-source waterfall can reach over 90%. Clay\u2019s waterfall model approaches that ceiling but at variable cost, which creates budgeting uncertainty.<\/p>\n<p>Clay\u2019s waterfall model approaches that ceiling but at variable cost, which is why teams with more budget headroom often look to the $500 tier for solutions that reduce that variability.<\/p>\n<h2>Best ZoomInfo Alternatives at the $500 Tier for Growing Teams<\/h2>\n<p>At $500\/month, a three-rep team can access higher-accuracy data, multichannel sequencing, and partial CRM functionality, but stack complexity rises in parallel.<\/p>\n<p><strong>Apollo (3 seats) + Clay Starter + Instantly:<\/strong> $147 plus $149 plus $37 equals $333\/month in base cost. The remaining $167 covers modest Clay API usage of roughly 550\u20131,100 enrichments. This stack functions well but requires one person to manage Clay workflows, which adds operational overhead.<\/p>\n<p><strong>Cognism as a single high-accuracy seat:<\/strong> <a href=\"https:\/\/www.cleanlist.ai\/blog\/2026-03-31-best-data-enrichment-tools-2026\" target=\"_blank\" rel=\"noindex nofollow\">Cognism achieved 87% email accuracy and the strongest EMEA coverage in Cleanlist\u2019s 2026 test<\/a>, with pricing available on request but typically starting at the lower end of the <a href=\"https:\/\/cleanlist.ai\/blog\/2026-03-27-b2b-data-providers\" target=\"_blank\" rel=\"noindex nofollow\">$15K\u2013$25K\/year enterprise range<\/a>. That pricing makes Cognism cost-prohibitive at this tier for most small teams.<\/p>\n<p><strong>Lemlist (3 seats) with Apollo:<\/strong> <a href=\"https:\/\/expandi.io\/blog\/b2b-prospecting-tool\" target=\"_blank\" rel=\"noindex nofollow\">Full multichannel features require the $99+\/user\/month plan<\/a>, totaling $297\/month for three reps. Combined with Apollo at $147\/month, the total reaches $444\/month, which fits the budget but excludes CRM and enrichment refresh.<\/p>\n<p><strong>TCO reality at $500:<\/strong> Sales reps waste approximately 27% of their time, over 500 hours per year, pursuing leads with bad data. At the $500 tier, teams still stitch three or four tools together manually, and that hidden labor cost never appears in the subscription line items.<\/p>\n<h2>How Reddit Sales Teams Handle Budget Prospecting Stacks<\/h2>\n<p>The $500 tier enables more sophisticated stacks, but even at this level, teams face a structural problem that no single-tier solution fixes: data decay. This context explains why sales communities on Reddit consistently report two recurring complaints, stale data and unpredictable billing.<\/p>\n<p>Recurring complaints in r\/sales and r\/saleshackers center on stale data and unpredictable billing. Apollo users report credit exhaustion mid-month on phone number lookups. Clay users flag that waterfall costs spike when enrichment volume scales. ZoomInfo users cite annual contract lock-in against declining data freshness.<\/p>\n<p>The underlying data problem is structural. 70.8% of business contacts experience some change in contact info or employment status within 12 months. Bad data causes B2B marketers to target the wrong decision-makers up to 70% of the time. No single-source tool at any budget tier fully solves this without continuous enrichment.<\/p>\n<p>Most teams eventually adopt a multi-source waterfall, which improves accuracy but introduces a new problem, tool sprawl. <a href=\"https:\/\/apollo.io\/insights\/b2b-sales-prospecting\" target=\"_blank\" rel=\"noindex nofollow\">The Census team reported cutting costs in half after consolidating multiple prospecting tools into a single platform<\/a>. Consolidation, not addition, now defines the direction of the market.<\/p>\n<h2>Consolidating Your Stack with a CRM Agent<\/h2>\n<p>Coffee is a CRM Agent that unifies enrichment, visitor identification, meeting intelligence, and pipeline management into a single seat-based subscription. Where a three-rep team at the $300 tier runs Apollo, Clay, a sequencer, and a CRM, Coffee replaces that stack with one agent connected to Google Workspace or Microsoft 365.<\/p>\n<p>The agent auto-creates contacts from emails and calendars, enriches records with job titles, funding data, and LinkedIn profiles via licensed data partners, and logs every activity without human input. A single tracking pixel turns anonymous website visitors into named prospects with suggested outreach targets, which standalone visitor ID tools like RB2B and Warmly do not match at the individual-recommendation level. The agent also joins calls, generates summaries, and writes follow-up drafts, which removes the need for a separate recording tool.<\/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>For teams already on Salesforce or HubSpot, Coffee deploys as a Companion App, so the agent handles data entry and enrichment while the existing system of record stays in place. As the earlier data quality statistic suggests, manual processes consume the majority of sales time, and one survey found that reps spend only 35% of their time actually selling. The Coffee Agent reclaims that time without adding headcount.<\/p>\n<h2>Apollo, Lusha, and RocketReach Accuracy in Practice<\/h2>\n<p>For teams evaluating whether to consolidate or continue stacking individual tools, accuracy differences between Apollo, Lusha, and RocketReach matter because they determine whether a single-source approach can meet your quality bar.<\/p>\n<p>In independent tests of data providers, email accuracy varied significantly, and no single provider covered every contact accurately. Apollo\u2019s single-source accuracy reached about 80% in Cleanlist\u2019s tests. As noted earlier, Apollo\u2019s single-source accuracy falls in the 65\u201370% range in some independent studies, while Cleanlist\u2019s 2026 tests showed around 80% accuracy, which improves outcomes but still trails the high-90s achievable with waterfall enrichment.<\/p>\n<p>Lusha\u2019s strength is direct dials for North American contacts. RocketReach covers a broad professional graph but lacks the phone verification depth of Lusha. ZoomInfo provides strong coverage and match rates on North American contacts but lower rates on European contacts, which creates a meaningful gap for U.S. teams prospecting into EMEA.<\/p>\n<p><strong>GDPR considerations:<\/strong> <a href=\"https:\/\/pipeline.zoominfo.com\/sales\/b2b-contact-databases\" target=\"_blank\" rel=\"noindex nofollow\">GDPR requirements apply to European contacts even when the selling company is U.S.-based<\/a>. Any tool used to contact EU prospects must have a documented lawful basis for processing, opt-out handling, and a data processing agreement. <a href=\"https:\/\/skrapp.io\/blog\/best-b2b-contact-databases\" target=\"_blank\" rel=\"noindex nofollow\">For EMEA-focused outreach, Cognism is the preferred GDPR-compliant option<\/a>, while Apollo and Lusha require additional compliance review before EU deployment. Coffee is SOC 2 Type 2 and GDPR compliant, and customer data is not used to train public models.<\/p>\n<h2>30-Day Checklist to Launch or Consolidate Your Stack<\/h2>\n<p><strong>Week 1 \u2014 Audit and select a tier:<\/strong> Export current CRM contacts and run a bounce test to establish baseline data quality. Choose a tier ($100, $300, $500) or Coffee consolidation based on the decision matrix below. Cancel redundant subscriptions before new billing cycles begin.<\/p>\n<p><strong>Week 2 \u2014 Connect core data sources:<\/strong> For Apollo and Clay stacks, configure waterfall enrichment sequences and set credit caps to prevent overage. For Coffee, authenticate Google Workspace or Microsoft 365, and the agent begins populating contacts within 24 hours. Install the Coffee visitor ID pixel in your site\u2019s head tag.<\/p>\n<p><strong>Week 3 \u2014 Build sequences and prospect lists:<\/strong> Define ICP filters such as title, funding stage, and tech stack. Use Coffee\u2019s natural-language List Builder or Apollo\u2019s filters to generate initial prospect lists. Set up email sequences with verified sending domains and warm-up enabled.<\/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>Week 4 \u2014 Measure performance and adjust:<\/strong> Track email bounce rate, with a target under 5%, along with reply rate and signal-to-meeting conversion. If bounce rates exceed 5%, that signals data decay, so adjust enrichment refresh frequency to match decay rates in your target segment. Once data quality stabilizes, focus on speed, because <a href=\"https:\/\/salesmotion.io\/blog\/b2b-prospecting-guide\" target=\"_blank\" rel=\"noindex nofollow\">high-performing teams act on buying signals within 48 hours, and first-mover vendors see 4x higher conversion rates after leadership changes<\/a>.<\/p>\n<p>The table below summarizes the core trade-offs across all four options, showing where each tier sacrifices functionality to meet its budget constraint and where Coffee removes those trade-offs through consolidation.<\/p>\n<h2>Decision Matrix<\/h2>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>$100 Tier<\/th>\n<th>$300 Tier<\/th>\n<th>$500 Tier<\/th>\n<th>Coffee<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>3-rep monthly cost<\/td>\n<td>~$75\u2013$100<\/td>\n<td>~$184\u2013$300<\/td>\n<td>~$333\u2013$500<\/td>\n<td>Seat-based flat rate<\/td>\n<\/tr>\n<tr>\n<td>Email accuracy<\/td>\n<td>65\u201370% (Apollo)<\/td>\n<td><a href=\"https:\/\/www.cleanlist.ai\/alternatives\/apollo\" target=\"_blank\" rel=\"noindex nofollow\">~80% (single source)<\/a><\/td>\n<td><a href=\"https:\/\/www.cleanlist.ai\/blog\/2026-03-31-best-data-enrichment-tools-2026\" target=\"_blank\" rel=\"noindex nofollow\">high 90s (waterfall)<\/a><\/td>\n<td>On par with Apollo; licensed partners<\/td>\n<\/tr>\n<tr>\n<td>CRM included<\/td>\n<td>No<\/td>\n<td>No<\/td>\n<td>No<\/td>\n<td>Yes (standalone or companion)<\/td>\n<\/tr>\n<tr>\n<td>Sequencing included<\/td>\n<td>No<\/td>\n<td>Partial<\/td>\n<td>Yes (add-on)<\/td>\n<td>Yes (agent-driven)<\/td>\n<\/tr>\n<tr>\n<td>Visitor ID included<\/td>\n<td>No<\/td>\n<td>No<\/td>\n<td>No<\/td>\n<td>Yes (with suggested leads)<\/td>\n<\/tr>\n<tr>\n<td>GDPR compliant<\/td>\n<td>Verify per tool<\/td>\n<td>Verify per tool<\/td>\n<td>Verify per tool<\/td>\n<td>Yes (SOC 2 Type 2)<\/td>\n<\/tr>\n<tr>\n<td>Manual data entry required<\/td>\n<td>High<\/td>\n<td>High<\/td>\n<td>Medium<\/td>\n<td>None (agent handles it)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Frequently Asked Questions<\/h2>\n<h3>Is Apollo better than ZoomInfo for small sales teams?<\/h3>\n<p>For teams of 1\u201315 reps on a defined budget, Apollo is the more practical starting point. ZoomInfo\u2019s enterprise contracts typically start in the five-figure range mentioned earlier, which is unsustainable for most small teams. Apollo offers a usable free tier and paid plans starting at $49\/user\/month with sequencing included. The trade-off is data accuracy, because Apollo\u2019s email accuracy sits in the 65\u201370% range in independent tests, compared to higher figures from other providers in 2026 benchmark testing. For North American mid-market prospecting, Apollo\u2019s coverage is sufficient. For EMEA or enterprise-grade accuracy, the gap matters more.<\/p>\n<h3>Lusha vs ZoomInfo: which is better for budget prospecting?<\/h3>\n<p>Lusha is the budget-accessible alternative for teams that prioritize direct dials and quick Chrome-extension lookups. Its Pro tier starts at $52.45\/user\/month annually, versus ZoomInfo\u2019s four-figure monthly minimums. Lusha\u2019s credit-based model works well for low-to-moderate volume prospecting but becomes expensive at scale when phone number credits are exhausted. ZoomInfo offers broader coverage and higher accuracy but requires annual commitment and dedicated admin time. For a three-rep team under $300\/month, Lusha is the more realistic choice, while for teams needing EMEA phone coverage, neither matches Cognism\u2019s verified mobile data.<\/p>\n<h3>What hidden costs should I expect from Apollo and Clay stacks?<\/h3>\n<p>The base subscription represents only part of the cost. Clay charges per successful data pull from its enrichment waterfall, typically $0.15\u2013$0.30 per contact, on top of the monthly plan. At 1,000 enrichments per month, API fees add $150\u2013$300 beyond the stated subscription. Apollo charges separately for phone number credits, which exhaust faster than email credits. Neither platform includes CRM functionality, so a separate CRM subscription adds $15\u2013$90\/seat\/month. Manual data entry to keep the CRM current consumes an estimated 8\u201312 hours per rep per week in time cost. A consolidated agent like Coffee removes the API overage and data entry overhead entirely.<\/p>\n<h3>How does Coffee compare to Apollo as a ZoomInfo alternative?<\/h3>\n<p>Apollo is a contact database and sequencer. Coffee is a CRM Agent that includes enrichment, sequencing, meeting intelligence, visitor identification, and pipeline management in a single seat-based subscription. Apollo requires a separate CRM, a separate recording tool, and manual data entry to keep records current. Coffee\u2019s agent handles all of that automatically by connecting to your email and calendar. For a Head of Sales at a 15-person company who needs to hit pipeline targets without adding tools or headcount, Coffee consolidates the stack rather than extending it. Coffee also offers a Companion App for teams already on Salesforce or HubSpot who want agent-driven data quality without migrating their system of record.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1763678549697-4e8d65abe17d.gif\" alt=\"GIF of Coffee platform where user is using AI to prep for a meeting with Coffee AI\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Automated meeting prep with Coffee AI CRM Agent<\/em><\/figcaption><\/figure>\n<h3>What should U.S. teams know about GDPR when using budget prospecting tools?<\/h3>\n<p>GDPR applies to any contact data processed about EU residents, regardless of where the selling company is based. Before using Apollo, Lusha, or RocketReach to contact European prospects, teams should verify that the provider has a documented lawful basis for data collection, a data processing agreement available for signature, and functional opt-out and data subject access request handling. Tools built primarily for the U.S. market may not have these processes in place. Cognism and Dealfront are the most commonly cited GDPR-native alternatives for EMEA outreach. Coffee is SOC 2 Type 2 and GDPR compliant, and does not use customer data to train public models.<\/p>\n<h2>Conclusion: Choosing a Budget-Friendly ZoomInfo Alternative<\/h2>\n<p>The best ZoomInfo alternative for budget prospecting in 2026 is not a single tool; it is a decision about how many tools you want to manage. At the $100 tier, coverage and accuracy trade-offs remain significant. At the $300 tier, Apollo plus Clay delivers waterfall accuracy but introduces variable API costs and manual CRM overhead. At the $500 tier, multichannel sequencing becomes viable, yet stack complexity peaks. Across all three tiers, the 22\u201330% annual decay rate discussed earlier erodes ROI unless enrichment is continuous, and continuous enrichment at scale pushes every tier above its stated cap.<\/p>\n<p>Coffee consolidates enrichment, CRM, sequencing, visitor identification, and meeting intelligence into one agent at a flat per-seat rate. For a three-rep team that needs pipeline velocity without adding headcount or managing tool sprawl, that consolidation creates the most defensible TCO position in 2026.<\/p>\n<p> <a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\"><strong>Move to Coffee and trade four subscriptions for one agent.<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Discover the best ZoomInfo alternatives for budget prospecting. Coffee consolidates your entire stack into one AI agent. See pricing today.<\/p>\n","protected":false},"author":11,"featured_media":7790,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-7791","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\/7791","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"}],"author":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/comments?post=7791"}],"version-history":[{"count":0,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/posts\/7791\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/media\/7790"}],"wp:attachment":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/media?parent=7791"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/categories?post=7791"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/tags?post=7791"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}