# AgentSphere vs Apify AgentSphere records 0 monthly visits with 0% month-over-month growth and Contact for Pricing pricing. Apify records 4,147,762 monthly visits with +3.9% growth and Freemium, Contact for Pricing pricing. | Metric | [AgentSphere](https://openaitools.app/tool/agentsphere) | [Apify](https://openaitools.app/tool/apify) | | :--- | :--- | :--- | | Website URL | https://www.agentsphere.run | https://www.apify.com | | Categories | AI Agent, AI Developer Tools, AI Workflow, Large Language Models (LLMs) | AI Web Scraping, AI Agent, AI API, AI Developer Tools | | Pricing Model | Contact for Pricing | Freemium, Contact for Pricing | | Monthly Visits | 0 | 4,147,762 | | MoM Growth Rate | 0% | +3.9% | | Primary Market | Global | United States | | Direct Visits | 0 | 1,816,433 | | Review Score | 4.3 | 4.6 | | Saved Count | 1 | 6 | | Supported Platforms | Website | Website | ## AgentSphere AgentSphere is an AI-native cloud infrastructure service whose purpose is to run untrusted, machine-generated code safely. Rather than letting an agent touch a production system directly, you hand it an isolated cloud sandbox where it can execute Python or TypeScript, read and write files, and stream results back in real time. The platform advertises sub-second cold starts, in-region deployment, and isolation backed by lightweight virtual machines such as Firecracker, with SOC2 and GDPR compliance positioned as built-in rather than bolted on. What differentiates AgentSphere is its MCP-first design. Rather than requiring a custom SDK for every use case, it exposes cloud sandboxes to MCP-capable clients, so an assistant or agent framework can request execution as just another tool. It also supports stateful workflows: sandboxes can persist storage, snapshot their state and be reactivated by events, which matters for long-running or multi-stage agent tasks. Typical scenarios include agent-driven DevOps and GitOps automation, large-scale model evaluation and fine-tuning experiments, secure data analysis, and rendering AI-generated dashboards or visuals inside an isolated environment. AgentSphere targets developers and platform teams building AI products as well as enterprises that need governance. It is model- and language-agnostic, so it does not lock you to a single LLM provider or runtime, and it offers private deployment in your own AWS, GCP or on-prem environment with network isolation. Because it is developer infrastructure rather than a consumer app, adoption usually starts with a free trial and scales into usage-based or enterprise plans; the vendor does not publish fixed public price points, so commercial terms are typically discussed directly. **Pricing & Plans:** No fixed public tiers. AgentSphere offers a free trial and positions itself around flexible, usage-based and enterprise plans (bursting compute, private deployment, SLAs); pricing is available on request. - **MCP-integrated cloud sandboxes:** Connect MCP-capable clients and agents directly to isolated cloud sandboxes to execute AI-generated code and handle files securely. - **Fast, isolated execution:** Cold-start latency advertised as low as roughly 100ms, with sandboxes deployed in-region and isolation backed by lightweight VMs such as Firecracker. - **Stateful agents and multi-stage tasks:** Support for long-running workflows with storage persistence, snapshot recovery, streaming output and event-triggered reactivation. - **Security and compliance posture:** SOC2 and GDPR compliance, access control, output tracing and full audit logging designed for running untrusted AI code in regulated environments. - **Private deployment options:** Deploy inside your own AWS, GCP or on-prem infrastructure with VPC peering, identity controls and network isolation. **Strengths:** Purpose-built for agentic workloads rather than retrofitted from a generic VM or container service; MCP-first integration lowers the effort to wire execution into existing AI assistants and frameworks; Strong isolation and compliance story (Firecracker-based VMs, SOC2/GDPR claims) suits regulated industries; Model- and language-agnostic, with private deployment in your own cloud and support for stateful, long-running tasks **Limitations:** No transparent public pricing, which makes budgeting harder before a sales conversation; Feature set and claims lean enterprise-heavy, so simpler hobby projects may find it more than they need; Complex setup compared with a local code interpreter for very lightweight experimentation [Profile (Markdown)](https://openaitools.app/tool/agentsphere.md) ## Apify Apify started as a general-purpose web automation cloud and has grown into one of the largest marketplaces of turnkey web data extractors. The platform exposes a store of Actors — small containerized programs built by Apify and by third-party developers — that handle jobs like pulling Google Maps listings, TikTok videos, Instagram posts, Amazon prices, or crawling a documentation site into clean Markdown for a RAG pipeline. Each Actor runs on Apify's cloud, can be triggered from an API, scheduled on a recurring basis, and wired into downstream storage or applications.\n\nBecause running scrapers in production is mostly an infrastructure problem, Apify bundles the unglamorous parts: rotating residential and datacenter proxies, browser fingerprinting and anti-blocking, retry logic, dataset and key-value storage, and monitoring. Developers who would rather write their own code can build Actors with the Apify SDK in Python or JavaScript, or use Crawlee, Apify's open-source crawling and browser-automation library, which works with Playwright, Puppeteer, Selenium, and BeautifulSoup.\n\nRecently the platform has positioned itself around AI: the Apify MCP server and CLI let AI agents and assistants discover and call Actors as tools, and the Website Content Crawler Actor is explicitly designed to feed LLM applications and vector databases. Pricing follows a freemium model with monthly platform credits, pay-per-usage pricing for many Actors, and custom enterprise agreements. **Pricing & Plans:** Freemium: a free plan with monthly usage credits, paid subscription tiers that scale credits and concurrency, consumption-based charges for many marketplace Actors, and custom enterprise pricing. Developer payouts are also available for published Actors. - **Actor marketplace:** Over one hundred thousand ready-to-run scrapers and automation tools covering social media, maps, e-commerce, real estate, and general web crawling. - **MCP server and CLI:** Connect Apify Actors directly to AI assistants and agents so they can search the store, run scrapers, and pull structured results as tool calls. - **Anti-blocking and proxy infrastructure:** Managed proxy rotation and unblocking are built into the platform, so scrapers keep working when target sites add defenses. - **Crawlee and the Apify SDK:** An open-source crawling library plus Python and JavaScript SDKs for building custom Actors with Playwright, Puppeteer, Selenium, or Cheerio. - **Scheduling, storage, and integrations:** Recurring runs, dataset exports to CSV/JSON/Excel, webhooks, and integrations with LangChain, LlamaIndex, Zapier, and thousands of apps. **Strengths:** Enormous library of maintained scrapers means many jobs need no code at all; Infrastructure concerns like proxies, retries, and blocking are handled for you; Agent-ready through MCP, CLI, and API, with LangChain and LlamaIndex integrations; Generous free tier for testing plus a developer revenue-share program **Limitations:** Costs scale with usage, so high-volume scraping can get expensive quickly; Quality varies between community-built Actors and first-party ones; Target sites change frequently, so some Actors break or need updating over time [Profile (Markdown)](https://openaitools.app/tool/apify.md) ## Frequently Asked Questions ### How do AgentSphere and Apify compare in monthly traffic? AgentSphere has 0 monthly visits, while Apify has 4,147,762. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? AgentSphere has a month-over-month growth rate of 0%; Apify has +3.9%. ### How does pricing compare? AgentSphere: Contact for Pricing. No fixed public tiers. AgentSphere offers a free trial and positions itself around flexible, usage-based and enterprise plans (bursting compute, private deployment, SLAs); pricing is available on request. Apify: Freemium, Contact for Pricing. Freemium: a free plan with monthly usage credits, paid subscription tiers that scale credits and concurrency, consumption-based charges for many marketplace Actors, and custom enterprise pricing. Developer payouts are also available for published Actors. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) | | 2 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) | | 3 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Provides direct LLM-ready markdown conversion via API, but lacks Apify's massive marketplace of pre-built scraping actors. | [.md](https://openaitools.app/tool/firecrawl-dev.md) | | 4 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) | | 5 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.md) | | 6 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Offers enterprise-grade proxy networks and raw web data infrastructure, but lacks Apify's plug-and-play actor marketplace. | [.md](https://openaitools.app/tool/bright-data.md) | | 7 | [BLACKBOX.AI](https://openaitools.app/tool/blackbox-ai-1) | 622,975 | -27.2% | Free Trial, Paid | High-trust frontier inference, encrypted end to end | [.md](https://openaitools.app/tool/blackbox-ai-1.md) | | 8 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Automates complex business workflows with AI agents, but is less specialized for raw large-scale web scraping actors. | [.md](https://openaitools.app/tool/gumloop.md) | | 9 | [Browserbase](https://openaitools.app/tool/browserbase) | 283,597 | -8% | Freemium | Cloud browsers and web APIs for AI agents | [.md](https://openaitools.app/tool/browserbase.md) | | 10 | [PhantomBuster](https://openaitools.app/tool/phantombuster) | 279,012 | -10.1% | Freemium, Free Trial, Paid | Focuses heavily on pre-built social media automation and lead generation workflows rather than general web scraping. | [.md](https://openaitools.app/tool/phantombuster.md) | --- Source: https://openaitools.app/compare/agentsphere-vs-apify More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)