Anysite.io

Anysite.io is a B2B data layer that lives inside the AI agent you already use. Rather than writing queries or maintaining scrapers, you describe the list you need in plain language — companies by geography, industry and size, the people inside them, their current job titles and emails — and Anysite.io returns it. The product is aimed at GTM and marketing teams that want fresh, ready-to-use web data for outbound, ABM, research and monitoring, and it works over MCP or a REST API inside agents including Claude, Codex, Cursor, OpenCode and others. The product is positioned against three walls that GTM and marketing teams hit every week. First, basic AI research is not enough: you ask an LLM to conduct research, but it is scratching the surface with old SEO links, bold assumptions and a lack of real-time market data. Second, lead enrichment is extremely expensive: using GTM tools for enrichment such as social media account summaries or news about a new company raise can easily land $3–5k invoices every month. Third, category intelligence means hours of scrolling: what is working in your category — competitor moves, brand mentions, posts that pop — hides behind manual feed-scrolling, and you still get no clear read. The first building block is live, typed web data. Ask your agent for a list and Anysite returns typed fields — people, companies, posts, prices — rather than a page of text you still have to parse, with one schema per source. Coverage spans 650+ sources and 3,500+ endpoints across social, e-commerce, news, finance, maps and code, business data included. Freshness is explicit rather than implied: data is pulled live from the source at the moment you ask, not served from a warehouse snapshot, so if a title changed this morning, that is the title you get. The site is also honest about the edges — niche sites with heavy bot protection are handled case by case. The second building block is plain-language briefing. You describe the task the way you would brief a teammate — an ICP, a competitor, a topic — and there is no query language, no endpoint IDs, no field mapping, no pagination to handle and no maintenance when a source changes. In the example shown on the site, the brief is "Find heads of growth at seed-stage fintechs in Europe who posted about outbound this month." The agent matches endpoints — people search, profiles and email finder — fills parameters such as geography, industry, founding year, role and verified-email-only, pages through results and deduplicates by company domain, then returns 50 prospects as rows containing name, role, company and email. The agent decides which endpoints to call; nothing about the underlying plumbing is left to the user. The third building block is a flat, data-based cost model combined with resilience and monitoring. MCP plans start at $30/month flat with fair-use throughput and a 7-day free trial, and on the API you pay for data returned rather than for attempts. On the monitoring side, your agent watches the category: competitors, mentions and top posts by topic arrive on a schedule, with the engagement numbers behind them, so you get the pattern rather than a feed. On reliability, when a site changes or blocks access, that is Anysite's problem rather than yours — endpoints heal themselves when a platform shifts its defenses, and requests route across multiple sources so no single provider can vanish and take your workflow down. Getting your web data runs in three steps and is described as needing only a few clicks, with no pipeline to build. In the Connect step you plug Anysite into your tools: add the MCP server to Claude, Cursor or ChatGPT, or take the REST API — the same catalog either way, every source included, nothing to install and nothing to keep running. The site shows a Claude Code command (claude mcp add --transport http anysite "https://mcp.anysite.io/mcp?api_key=YOUR_KEY"), a Cursor configuration block that goes in ~/.cursor/config.json, and a REST example that POSTs to https://api.anysite.io/api/people/profile with an access-token header and returns a typed profile. In the Ask step you describe the task in plain language, briefing it the way you would brief a teammate — an ICP, a competitor, a topic. In the Get step, typed, up-to-the-moment results land in your chat, sheet or CRM, ready for the sequence or the deck. The stated benefits follow directly from that flow. Because there is no pipeline to build and no query language to learn, no engineer is required to get value from the product, and teams can plug in and launch outbound data collection the same day. Because data is pulled live at query time, results reflect what is actually on the web now rather than a stale snapshot or a search index. Because output is typed and delivered where the team already works — chat, spreadsheet or CRM — results are ready for a sequence or a deck without a parsing step. And because pricing on the API is tied to data returned rather than attempts, enrichment work does not generate surprise invoices for tries that came back empty. Anysite lists concrete tasks by role. For Outbound & Sales it is building ICP lists with live buying signals to book meetings from lists nobody else has, rather than the tired database everyone else mails. For ABM it is walking into a call knowing the account's latest move, with this week's funding, hires and product news briefed before every call. For Market & Competitor Research it is building campaigns on data rather than guesses, with offers, prices and ads tracked as they change and no tab-by-tab copying. For Brand & Social Monitoring it is tracking mentions, sentiment and conversation shifts as a single morning read on brand health. For Content & Viral Intel it is publishing what a niche actually rewards, using top posts by topic and the engagement behind them instead of hours of scrolling. For Creator & Influencer work it is choosing creators on real numbers rather than edited ones, looking at true engagement, comment sentiment and brand fit instead of a media kit built to flatter. Beyond GTM and marketing, the site points to agentic products, e-commerce intelligence, due diligence, finance research, HR and recruiting, science research and reviews, and everyday life. On the audience side, the product speaks to GTM and marketing teams, outbound and sales teams, ABM programs, market and competitor researchers, brand and social monitoring teams, content teams and creator or influencer marketers, along with the broader use cases listed above. On the integration side, it states that it works with agents including Claude, Cursor, Manus, Grok, Gemini CLI, Codex, Antigravity, OpenClaw and OpenAgent, and it is described as a verified app on Make. Pricing is split into MCP plans and usage-based API plans. MCP costs $30/month for everyday research, MCP x5 is $99/month for active daily agents, and MCP x15 is $199/month for agents that never sleep; all MCP tiers include a 7-day free trial with full plan access and all 650+ sources with one key, and work with Claude, Cursor, ChatGPT and any MCP client. API plans are credit-based: Starter gives 15K credits/month for $49/mo ($3.27 per 1K credits) with the full REST API, a CLI tool and MCP server access; Growth gives 100K credits/month for $200/mo ($2.00 per 1K), 39% cheaper per request with higher rate limits for batch; Scale gives 190K credits/month for $300/mo ($1.58 per 1K), 52% cheaper with throughput sized for production; Pro gives 425K credits/month for $549/mo ($1.29 per 1K), 61% cheaper with max rate limits; and Enterprise gives 1.2M credits/month for $1,199/mo ($1.00 per 1K) with white-glove onboarding and custom rate limits. A Custom tier offers custom credit volume and rate limits, dedicated support and SLA, volume discounts and custom sources on request. Anysite.io's core proposition is simple: the web is the largest database ever built, nobody shipped it with a query language, and Anysite provides one — in the form of a plain-language agent interface backed by live, typed data from 650+ sources. For teams that need fresh B2B and web data for outbound, ABM, research and monitoring without writing queries or maintaining scrapers, it offers the same catalog over MCP or REST, flat MCP pricing from $30/month, usage-based API pricing that charges for data returned rather than attempts, and a 7-day free trial to start.