{"id":1800,"date":"2026-04-11T22:02:34","date_gmt":"2026-04-11T22:02:34","guid":{"rendered":"https:\/\/coinro.io\/best-ai-crypto-tokens-2026\/"},"modified":"2026-04-11T22:02:34","modified_gmt":"2026-04-11T22:02:34","slug":"best-ai-crypto-tokens-2026","status":"publish","type":"post","link":"https:\/\/coinro.io\/ro\/best-ai-crypto-tokens-2026\/","title":{"rendered":"Best AI Crypto Tokens to Buy in 2026: Venice (VVV), Render, and the AI Agent Economy"},"content":{"rendered":"<h1>Best AI Crypto Tokens to Buy in 2026: Venice (VVV), Render, and the AI Agent Economy<\/h1>\n<p>AI tokens are one of the strongest performing sectors in crypto right now. The convergence of artificial intelligence and blockchain has moved from speculative narrative to working products: decentralized GPU networks processing real workloads, AI agents paying for their own inference, and privacy-first platforms tokenizing access to language models. This guide covers the top AI crypto tokens worth watching in 2026, with real market data from CoinGecko (April 11, 2026), actual use cases, and honest risk assessments for each project.<\/p>\n<h2>Why AI Crypto Tokens Are Gaining Momentum in 2026<\/h2>\n<p>Three structural trends are driving the AI + crypto convergence right now.<\/p>\n<p>First, <strong>GPU scarcity<\/strong>. Training and running AI models requires massive compute resources. Centralized providers like AWS, Azure, and Google Cloud control pricing. Decentralized GPU networks like <strong>Render<\/strong> and <strong>Akash<\/strong> offer alternatives where anyone with idle hardware can sell compute, creating competitive pricing and censorship resistance.<\/p>\n<p>Second, <strong>AI agent autonomy<\/strong>. AI agents need to transact autonomously: paying for API calls, buying data, compensating other agents. Traditional payment rails (credit cards, bank transfers) require human authorization. Crypto payments allow agents to transact programmatically using smart contracts. Venice recently integrated Coinbase x402 protocol specifically for this use case.<\/p>\n<p>Third, <strong>privacy demand<\/strong>. Enterprise and individual users increasingly want AI inference without surrendering their data. Crypto-native AI platforms like <strong>Venice.ai<\/strong> can offer zero data retention because they are not beholden to the same business model as OpenAI or Google, where user data improves their proprietary models. If you have concerns about <a href=\"https:\/\/coinro.io\/how-secure-is-your-crypto-data\/\">how secure your crypto data is<\/a>, this trend is directly relevant.<\/p>\n<h2>Top AI Crypto Tokens: Market Data and Analysis<\/h2>\n<p>All price data sourced from CoinGecko, April 11, 2026. Market conditions change rapidly; verify current prices before making any investment decisions.<\/p>\n<h3>1. Bittensor (TAO)<\/h3>\n<table>\n<thead>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Price<\/td>\n<td>$263.22<\/td>\n<\/tr>\n<tr>\n<td>Market Cap<\/td>\n<td>$2.52 billion<\/td>\n<\/tr>\n<tr>\n<td>Rank<\/td>\n<td>#37<\/td>\n<\/tr>\n<tr>\n<td>30-Day Change<\/td>\n<td>+25.1%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Bittensor<\/strong> operates as a decentralized marketplace for machine intelligence. Miners compete to produce the best AI outputs across specialized subnets (text generation, image recognition, financial prediction, and more), and validators score their work. TAO stakers earn rewards proportional to their contribution. With a $2.52 billion market cap, Bittensor is the largest pure AI token by a wide margin.<\/p>\n<p><strong>Bull case:<\/strong> Largest ecosystem in AI crypto, 30+ active subnets, growing developer community, and strong tokenomics (staking rewards create natural demand). The subnet architecture is genuinely innovative, allowing any AI task to be decentralized.<\/p>\n<p><strong>Bear case:<\/strong> Complex technology that is hard for casual investors to evaluate. Subnet quality varies widely. High token price ($263) creates psychological resistance for retail buyers, though fractional buying eliminates this as a practical barrier. Competition from centralized AI inference providers who can undercut on latency and consistency.<\/p>\n<p><strong>Risk level:<\/strong> Medium. Established project with working product but faces execution challenges at scale.<\/p>\n<h3>2. NEAR Protocol (NEAR)<\/h3>\n<table>\n<thead>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Price<\/td>\n<td>$1.36<\/td>\n<\/tr>\n<tr>\n<td>Market Cap<\/td>\n<td>$1.75 billion<\/td>\n<\/tr>\n<tr>\n<td>Rank<\/td>\n<td>#48<\/td>\n<\/tr>\n<tr>\n<td>30-Day Change<\/td>\n<td>+3.1%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>NEAR Protocol<\/strong> is a Layer 1 blockchain that has pivoted toward AI integration through its NEAR AI initiative. The platform supports chain abstraction (allowing users to interact across multiple blockchains without switching wallets) and has been building tools for AI agent deployment on-chain. NEAR is less of a pure AI play and more of a general-purpose blockchain with an AI strategy.<\/p>\n<p><strong>Bull case:<\/strong> Strong technical team (including AI researchers from the original Transformer paper co-authors), $1.75B market cap provides stability, chain abstraction is a genuinely useful feature, and the AI narrative adds growth potential on top of an established ecosystem.<\/p>\n<p><strong>Bear case:<\/strong> AI is one of several narratives, not the core product. The token price (+3.1% in 30 days) suggests the market is not yet pricing in significant AI upside. Competes with Ethereum, Solana, and other L1s that also claim AI capabilities.<\/p>\n<p><strong>Risk level:<\/strong> Low-medium. Established L1 with diversified use cases; AI is an additive narrative rather than the sole value proposition.<\/p>\n<h3>3. Render Network (RENDER)<\/h3>\n<table>\n<thead>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Price<\/td>\n<td>$2.01<\/td>\n<\/tr>\n<tr>\n<td>Market Cap<\/td>\n<td>$1.04 billion<\/td>\n<\/tr>\n<tr>\n<td>Rank<\/td>\n<td>#67<\/td>\n<\/tr>\n<tr>\n<td>30-Day Change<\/td>\n<td>+27.0%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Render Network<\/strong> connects people who need GPU power (artists, studios, AI developers) with people who have idle GPUs. Think Airbnb for graphics cards. The network processes rendering jobs for 3D graphics, visual effects, and increasingly AI inference workloads. With Hollywood studios and major creative agencies among its users, Render has some of the strongest real-world adoption in the AI crypto space.<\/p>\n<p><strong>Bull case:<\/strong> Proven demand from creative industries, migration to Solana improved transaction speeds, partnerships with Apple (integration with Apple Silicon rendering pipeline), and expanding into AI inference creates a second growth driver. The 27% monthly gain reflects genuine momentum.<\/p>\n<p><strong>Bear case:<\/strong> Revenue depends on creative industry spending cycles. Competition from centralized cloud rendering (Google Cloud, AWS) and other decentralized compute networks (Akash, io.net). The pivot to AI inference is promising but early.<\/p>\n<p><strong>Risk level:<\/strong> Medium. Working product with real revenue, but exposed to both creative industry cycles and crypto market volatility.<\/p>\n<h3>4. Venice Token (VVV)<\/h3>\n<table>\n<thead>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Price<\/td>\n<td>$8.63<\/td>\n<\/tr>\n<tr>\n<td>Market Cap<\/td>\n<td>$390.6 million<\/td>\n<\/tr>\n<tr>\n<td>Rank<\/td>\n<td>#116<\/td>\n<\/tr>\n<tr>\n<td>30-Day Change<\/td>\n<td>+53.8%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Venice Token (VVV)<\/strong> powers Venice.ai, the privacy-first AI platform built by Erik Voorhees (ShapeShift founder). VVV has the clearest token utility in the AI crypto space: stake 100 VVV to get Venice Pro access (worth $18\/month), or use VVV to pay for API inference. Venice recently integrated Coinbase x402 protocol, enabling AI agents to autonomously pay for inference using crypto. For a deeper look at the platform itself, see our full <a href=\"https:\/\/coinro.io\/venice-ai-review\/\">Venice AI review<\/a>.<\/p>\n<p><strong>Bull case:<\/strong> Strongest 30-day performance in this list (+53.8%). Real utility through staking and API payments. Voorhees is a proven entrepreneur with a track record of building successful crypto products. Venice.ai has a working consumer product with 30+ AI models. The x402 integration positions VVV for the AI agent payment economy. Base ecosystem (Coinbase L2) provides distribution advantages.<\/p>\n<p><strong>Bear case:<\/strong> 74.8% supply dilution risk (34 million unreleased tokens vs 45.47 million circulating). Venice does not train its own models; it depends on third-party providers. No third-party security audit published. Still 62% below its all-time high of $22.58, which could indicate either opportunity or structural resistance. The AI privacy narrative is compelling but unproven as a mass-market draw.<\/p>\n<p><strong>Risk level:<\/strong> Medium-high. Strong momentum and clear utility, but significant supply overhang and dependency risk.<\/p>\n<h3>5. Artificial Superintelligence Alliance (FET)<\/h3>\n<table>\n<thead>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Price<\/td>\n<td>$0.236<\/td>\n<\/tr>\n<tr>\n<td>Market Cap<\/td>\n<td>$533.2 million<\/td>\n<\/tr>\n<tr>\n<td>Rank<\/td>\n<td>#99<\/td>\n<\/tr>\n<tr>\n<td>30-Day Change<\/td>\n<td>+47.2%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The <strong>Artificial Superintelligence Alliance<\/strong> (ASI) merged three previously separate tokens: Fetch.ai (FET), SingularityNET (AGIX), and Ocean Protocol (OCEAN) into a unified ecosystem. The alliance aims to build decentralized AI infrastructure across autonomous agents (Fetch.ai), AI marketplaces (SingularityNET), and data economies (Ocean Protocol).<\/p>\n<p><strong>Bull case:<\/strong> Consolidation of three established projects under one token creates a larger ecosystem. The 47.2% monthly gain signals strong market interest. The combined technology stack (agents + marketplace + data) covers more of the AI value chain than any single competitor. Ben Goertzel (SingularityNET founder) brings academic credibility to the project.<\/p>\n<p><strong>Bear case:<\/strong> Mergers in crypto are operationally messy. Three different teams, codebases, and communities must integrate. The token economics of a three-way merger create complexity. Real adoption metrics (agent deployments, marketplace transactions) remain modest relative to the market cap.<\/p>\n<p><strong>Risk level:<\/strong> Medium-high. Ambitious vision with proven teams, but merger execution is the key variable.<\/p>\n<h3>6. Akash Network (AKT)<\/h3>\n<table>\n<thead>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Price<\/td>\n<td>$0.46<\/td>\n<\/tr>\n<tr>\n<td>Market Cap<\/td>\n<td>$120.8 million<\/td>\n<\/tr>\n<tr>\n<td>Rank<\/td>\n<td>#238<\/td>\n<\/tr>\n<tr>\n<td>30-Day Change<\/td>\n<td>+8.2%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Akash Network<\/strong> is a decentralized cloud computing marketplace built on Cosmos. It positions itself as the &#8220;Airbnb for cloud compute,&#8221; letting anyone rent out unused server capacity. Akash is particularly relevant for AI workloads because it offers GPU rentals at prices 70-80% below AWS and Google Cloud (according to Akash own benchmarks).<\/p>\n<p><strong>Bull case:<\/strong> Working product with measurable cost savings for compute buyers. Cosmos ecosystem provides interoperability. Small market cap ($120.8M) means significant upside potential if decentralized compute gains mainstream adoption. GPU demand for AI training and inference is only growing.<\/p>\n<p><strong>Bear case:<\/strong> Small market cap also means lower liquidity and higher volatility. Competes directly with Render, io.net, and centralized cloud providers. Adoption metrics are growing but still small in absolute terms. The 8.2% monthly gain lags behind other AI tokens, suggesting the market is not yet convinced.<\/p>\n<p><strong>Risk level:<\/strong> High. Working product with clear value proposition, but small cap and competitive market create outsized risk.<\/p>\n<h2>AI Token Comparison: Quick Reference<\/h2>\n<table>\n<thead>\n<tr>\n<th>Token<\/th>\n<th>Price<\/th>\n<th>Market Cap<\/th>\n<th>Rank<\/th>\n<th>30d Change<\/th>\n<th>Primary Use Case<\/th>\n<th>Risk<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>TAO<\/td>\n<td>$263.22<\/td>\n<td>$2.52B<\/td>\n<td>#37<\/td>\n<td>+25.1%<\/td>\n<td>Decentralized AI marketplace<\/td>\n<td>Medium<\/td>\n<\/tr>\n<tr>\n<td>NEAR<\/td>\n<td>$1.36<\/td>\n<td>$1.75B<\/td>\n<td>#48<\/td>\n<td>+3.1%<\/td>\n<td>L1 blockchain + AI agents<\/td>\n<td>Low-Med<\/td>\n<\/tr>\n<tr>\n<td>RENDER<\/td>\n<td>$2.01<\/td>\n<td>$1.04B<\/td>\n<td>#67<\/td>\n<td>+27.0%<\/td>\n<td>Decentralized GPU rendering<\/td>\n<td>Medium<\/td>\n<\/tr>\n<tr>\n<td>VVV<\/td>\n<td>$8.63<\/td>\n<td>$390.6M<\/td>\n<td>#116<\/td>\n<td>+53.8%<\/td>\n<td>AI privacy + API payments<\/td>\n<td>Med-High<\/td>\n<\/tr>\n<tr>\n<td>FET (ASI)<\/td>\n<td>$0.236<\/td>\n<td>$533.2M<\/td>\n<td>#99<\/td>\n<td>+47.2%<\/td>\n<td>AI agents + data + marketplace<\/td>\n<td>Med-High<\/td>\n<\/tr>\n<tr>\n<td>AKT<\/td>\n<td>$0.46<\/td>\n<td>$120.8M<\/td>\n<td>#238<\/td>\n<td>+8.2%<\/td>\n<td>Decentralized cloud compute<\/td>\n<td>High<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>How to Evaluate AI Crypto Tokens Before Buying<\/h2>\n<p>Before putting money into any AI token, run through this checklist. Narratives are cheap; execution is what separates working products from vaporware.<\/p>\n<ul>\n<li><strong>Does the product work today?<\/strong> Open the platform and use it. Venice.ai lets you chat for free. Render processes real rendering jobs. Akash rents real GPUs. If you cannot use the product, the token is pure speculation.<\/li>\n<li><strong>What does the token actually do?<\/strong> VVV gives you Venice Pro access through staking. TAO rewards miners and validators. RENDER pays for GPU compute. If a token has no clear utility beyond speculation, that is a red flag.<\/li>\n<li><strong>What is the supply schedule?<\/strong> VVV has a 74.8% dilution overhang. TAO has a fixed emission schedule. Understand how many tokens will enter circulation and when. Unexpected supply increases crater prices.<\/li>\n<li><strong>Who is the team?<\/strong> Voorhees (Venice) has built and sold successful crypto companies. Goertzel (FET\/ASI) is a published AI researcher. Anonymous teams with no track record are higher risk.<\/li>\n<li><strong>What are the revenue metrics?<\/strong> Render processes millions in rendering jobs monthly. Akash shows growing GPU utilization. If a project cannot show revenue or usage metrics, proceed with caution.<\/li>\n<\/ul>\n<p>The <a href=\"https:\/\/coinro.io\/how-to-avoid-crypto-rugpulls-red-flags\/\">rug pull red flags guide<\/a> on this site covers additional due diligence steps. Apply them to every token on this list, including the ones we reviewed favorably.<\/p>\n<h2>Portfolio Allocation: Conservative vs. Aggressive<\/h2>\n<p>These are frameworks, not financial advice. Your risk tolerance, time horizon, and existing portfolio should determine actual allocation.<\/p>\n<h3>Conservative AI Token Portfolio<\/h3>\n<ul>\n<li>50% TAO (largest market cap, most established ecosystem)<\/li>\n<li>25% RENDER (working product, creative industry adoption)<\/li>\n<li>15% NEAR (L1 diversification, lower volatility)<\/li>\n<li>10% VVV or FET (higher risk, higher potential reward)<\/li>\n<\/ul>\n<h3>Aggressive AI Token Portfolio<\/h3>\n<ul>\n<li>30% VVV (strongest momentum, clear utility, supply risk accepted)<\/li>\n<li>25% FET\/ASI (merger upside, broad AI coverage)<\/li>\n<li>20% TAO (ecosystem anchor)<\/li>\n<li>15% RENDER (stable growth)<\/li>\n<li>10% AKT (small cap, high upside potential)<\/li>\n<\/ul>\n<p>Both portfolios assume you are only allocating a small percentage of your total investment capital to AI tokens. These are volatile assets in a volatile market. Never invest more than you can afford to lose entirely. If you are new to crypto investing, start with the <a href=\"https:\/\/coinro.io\/crypto-wallet-guide-for-beginners\/\">crypto wallet guide for beginners<\/a> before buying any tokens.<\/p>\n<h2>Risks That Apply to All AI Tokens<\/h2>\n<p>Every token on this list faces three shared risks that could impact the entire sector.<\/p>\n<p><strong>Regulatory risk.<\/strong> Governments are simultaneously regulating both AI and crypto. New rules could restrict how tokens operate, who can buy them, or how AI models can be deployed on-chain. The EU AI Act, US crypto legislation, and individual country bans could all impact AI token valuations.<\/p>\n<p><strong>Centralized AI dominance.<\/strong> OpenAI, Google, Anthropic, and Meta have billions in capital and world-class research teams. If centralized AI keeps improving faster than decentralized alternatives, the value proposition for AI tokens weakens. Right now, decentralized compute is cheaper but not necessarily better.<\/p>\n<p><strong>Narrative cycle risk.<\/strong> AI tokens benefited from a strong narrative in 2024-2026. Narratives rotate. DeFi was the narrative in 2020, NFTs in 2021, L2s in 2023. When the market attention shifts to the next trend, AI token premiums compress even if the underlying products keep working.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What is the best AI crypto token to buy in 2026?<\/h3>\n<p>There is no single best token. For the largest and most established ecosystem, Bittensor (TAO) leads at $2.52 billion market cap. For the strongest recent momentum, Venice Token (VVV) gained 53.8% in 30 days with clear staking utility. For real-world GPU compute demand, Render (RENDER) has the strongest adoption from creative industries. Your choice depends on your risk tolerance and investment thesis.<\/p>\n<h3>Is VVV token a good investment?<\/h3>\n<p>VVV has real utility (staking for Venice Pro access, API payments), strong 30-day momentum (+53.8%), and a proven founder (Erik Voorhees). Risks include a 74.8% supply dilution overhang and Venice dependence on third-party AI models. At $8.63 with a $390.6 million market cap (#116), it is mid-cap territory with both upside potential and meaningful risk.<\/p>\n<h3>How do AI crypto tokens work?<\/h3>\n<p>AI crypto tokens serve as the payment and governance layer for decentralized AI services. VVV pays for AI inference on Venice.ai. RENDER pays for GPU compute. TAO rewards AI model contributors and validators. FET enables autonomous AI agent transactions. Each token is tied to a specific platform or protocol that provides AI-related services.<\/p>\n<h3>Are AI crypto tokens risky?<\/h3>\n<p>Yes. They carry standard crypto risks (volatility, regulatory uncertainty, market cycles) plus AI-specific risks (centralized AI may outperform decentralized alternatives, narrative rotation, model quality inconsistency). Only invest what you can afford to lose, and verify that each project has a working product before buying its token.<\/p>\n<h3>What is the AI agent economy in crypto?<\/h3>\n<p>The AI agent economy refers to autonomous AI programs that can execute transactions, pay for services, and earn revenue without human intervention. In crypto, this means AI agents using tokens to pay for compute (Akash), inference (Venice\/VVV), data (Ocean\/FET), and other services. Venice x402 integration with Coinbase is an example of infrastructure built specifically for agent-to-agent payments.<\/p>\n<h3>Which AI token has the highest market cap?<\/h3>\n<p>Bittensor (TAO) leads AI tokens with a $2.52 billion market cap and #37 overall ranking as of April 2026. NEAR Protocol ($1.75B, #48) is larger overall but is a general-purpose L1, not a pure AI play. Among pure AI tokens, TAO is the clear leader followed by Render ($1.04B) and FET\/ASI Alliance ($533M).<\/p>\n<p><script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is the best AI crypto token to buy in 2026?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"There is no single best token. Bittensor (TAO) leads at $2.52 billion market cap. Venice Token (VVV) has the strongest 30-day momentum at +53.8%. Render (RENDER) has the strongest real-world adoption. 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The convergence of artificial intelligence and blockchain has moved from speculative narrative to working products: decentralized GPU networks processing real workloads, AI agents paying for their [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1799,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[125,4],"tags":[],"class_list":["post-1800","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-crypto","category-trends"],"blocksy_meta":[],"jetpack_featured_media_url":"https:\/\/coinro.io\/wp-content\/uploads\/2026\/04\/coinro-best-ai-crypto-tokens.jpeg","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/coinro.io\/ro\/wp-json\/wp\/v2\/posts\/1800","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/coinro.io\/ro\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/coinro.io\/ro\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/coinro.io\/ro\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/coinro.io\/ro\/wp-json\/wp\/v2\/comments?post=1800"}],"version-history":[{"count":0,"href":"https:\/\/coinro.io\/ro\/wp-json\/wp\/v2\/posts\/1800\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/coinro.io\/ro\/wp-json\/wp\/v2\/media\/1799"}],"wp:attachment":[{"href":"https:\/\/coinro.io\/ro\/wp-json\/wp\/v2\/media?parent=1800"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/coinro.io\/ro\/wp-json\/wp\/v2\/categories?post=1800"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/coinro.io\/ro\/wp-json\/wp\/v2\/tags?post=1800"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}