Context.dev vs ZeroClick: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Context.dev and ZeroClick — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Context.dev
Context.dev
A single REST API that turns any URL into LLM-ready markdown, crawls whole sites, and returns brand, logo, and structured company data.
Key features
- Web Scraping API: Converts any URL into markdown, HTML, raw bytes, sitemaps, screenshots, or images, with JS rendering, anti-bot bypass, and premium proxies included at one credit per page.
- Site Crawling: Crawls an entire domain page by page so teams can build knowledge bases or ground RAG pipelines in fresh content instead of a model's training cutoff.
- Schema-Based Extraction: The Extract endpoint crawls a site and returns structured data shaped to a JSON Schema you supply, removing hand-written parsers.
- Answers Endpoint: Takes a research task plus the JSON shape you want back, researches the web, and returns a structured answer in one API call, with a cheaper fast mode.
- Brand Intelligence: Retrieves logos, colors, fonts, styleguides, descriptions, socials, and addresses for a domain, powering programmatic theming and automated brand kits.
- Logo Link CDN: Serves any company's logo through a direct image URL on a separate quota that does not consume API credits.
- Entity Enrichment and Classification: Extracts products, enriches people from an email or profile URL, searches company news, and returns NAICS/SIC codes or transaction identification.
- SDKs, MCP Server, and CLI: Official TypeScript, Python, Ruby, Go, and PHP SDKs plus an MCP server and CLI let agents and applications integrate without custom HTTP plumbing.
Best for
- Grounding AI Agents: Give an LLM agent live web access so answers reflect the current web rather than the model's training cutoff.
- RAG Knowledge Bases: Crawl documentation sites, academic journals, or PDFs at scale to build and refresh a retrieval corpus.
- Support Chatbot Ingestion: Turn a customer's whole website into the knowledge base behind an AI support bot, as SiteGPT does after migrating from a competing scraper.
- Automated Brand Kits and Theming: Pull a company's logo, colors, and fonts from its domain to theme an app or generate on-brand assets programmatically.
- Onboarding Autofill: Enrich a new signup's company profile from their email domain so onboarding forms prefill instead of asking users to type.
- Website Change Monitoring: Run concurrent monitors against competitor or supplier pages and react when content changes.
- Structured Research Pipelines: Use the Answers endpoint to run repeatable web research tasks that return machine-readable JSON for downstream automation.
ZeroClick
ZeroClick
Storefront and payment layer that turns any API or product into a service AI agents can discover, pay for with x402 or MPP, and use.
Key features
- Machine-Readable Storefront: Every seller gets a hosted pay URL that agents read directly to discover available services, plans, and prices without a human-facing web page.
- x402 and MPP Payment Rails: Agents pay through the x402 and MPP protocols, with settlement to the seller's connected Stripe account in either fiat or USDC.
- On-the-Spot Wallet Creation: If a buying agent arrives without a wallet, ZeroClick provisions one during the transaction instead of failing the purchase.
- Agent Identity and Verification: Every agent is given an identifier and verified before a call is signed and forwarded, and every call is logged for tracking and abuse prevention.
- Billing Guard SDKs: Seller SDKs for TypeScript, Python, Go, and Ruby implement the verify-check-allowance-serve-settle contract, with a REST walkthrough for custom integrations.
- Flexible Plan and Meter Model: Services are billed through meters and plans supporting pay-as-you-go, credits, subscription, or subscription-plus-usage, with a pre-request allowance check.
- Agent Index Registration: ZeroClick publishes seller services to the major agent indexes so buying agents can discover them without a direct integration.
- Transaction Analytics Dashboard: Transaction-level reporting on agent traffic, origin platforms and models, payment-method split across x402, MPP, USDC and fiat, and per-service conversion rates.
Best for
- API Monetization for Agents: Putting an existing data, enrichment, or generation API behind a pay URL so autonomous agents can buy calls without a human signup flow.
- Agentic Commerce Readiness: Making an existing product purchasable by shopping assistants as agent-driven traffic replaces human browsing.
- Usage-Based Metering: Charging agents per request or per output token through meters and allowances rather than fixed seats.
- Agent Traffic Analytics: Understanding which agent platforms and models are driving purchases, and which services convert best with them.
- Crypto and Fiat Settlement: Accepting USDC from wallet-native agents while still settling into a conventional Stripe account.
- Enterprise Agent Sales Governance: Running agent-facing sales with roles, permissions, pricing controls, SSO/SAML, and a per-call audit log across a team.