Foundry vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
Foundry or Spider Cloud: which should you choose?
| Dimension | Foundry | Spider Cloud |
|---|---|---|
| Primary Function | Simulation & evaluation for browser agents | Web crawling, scraping & search API |
| Target User | Developers & researchers building agent training pipelines | AI/LLM developers needing web data for RAG & agents |
| Key Feature | Pixel-perfect simulation, RL gym (SDRBench), evaluation tracking | Rust engine, AI Studio, Browser AI commands, 1,000+ scrapers |
| Open Source | No | Yes (core on GitHub) |
| Best For | Training & benchmarking browser agents in enterprise SaaS | Lightweight, scalable data extraction for AI apps |
Foundry is for teams building or fine-tuning browser agents with high-fidelity simulation and RL training (e.g., SDRBench for sales workflows). Spider Cloud is for AI developers who need fast, cheap web data extraction for RAG or agent context. Your choice depends on whether you need to train an agent (Foundry) or feed it data (Spider Cloud).
Reproducible browser environments, evaluation, and training data for teams building AI web agents.
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Spider Cloud is a scraping, crawling, and web search API that returns clean markdown or JSON for AI agents and RAG pipelines.
Visit WebsiteWho should pick Foundry, and who should pick Spider Cloud?
- AI Agent Developer training a browser agentPick: Foundry
Foundry provides pixel-perfect simulation, RL gym (SDRBench), and evaluation metrics to train agents without rate limits or drift.
- RAG Pipeline Builder needing fresh web contentPick: Spider Cloud
Spider Cloud's scraping API is fast, cheap, and structured for LLMs, with connectors to storage and AI frameworks.
- Sales Automation Team fine-tuning an SDR agentPick: Foundry
SDRBench by Foundry offers 50 deterministic tasks on enterprise SaaS, perfect for RL training of sales agents.
- LLM App Developer needing quick data extractionPick: Spider Cloud
Spider Cloud's 1,000+ scrapers, AI Studio, and Browser AI commands allow fast setup without coding.
- Enterprise evaluating agent performancePick: Foundry
Foundry's benchmark leaderboard and reproducible environments ensure consistent testing across SaaS workflows.
Frequently Asked Questions
Foundry vs Spider Cloud: which should you choose?
Foundry is for teams building or fine-tuning browser agents with high-fidelity simulation and RL training (e.g., SDRBench for sales workflows). Spider Cloud is for AI developers who need fast, cheap web data extraction for RAG or agent context. Your choice depends on whether you need to train an agent (Foundry) or feed it data (Spider Cloud).
Can Spider Cloud train browser agents like Foundry?
No. Spider Cloud provides real-time web data extraction, not simulated environments for training agents. Use Foundry for agent training and evaluation.
Does Foundry offer web scraping capabilities?
No, Foundry is for simulation and training, not live scraping. For data extraction, use Spider Cloud.
Is either tool open source?
Spider Cloud has an open-source core (GitHub). Foundry is proprietary and enterprise-licensed.
Which is better for RAG pipelines?
Spider Cloud, because it is designed as a web crawling API with structured output and LLM integration, while Foundry targets agent training.
What is SDRBench?
A benchmark and RL gym released by Foundry (2025-09-22) with 50 deterministic tasks across enterprise SaaS apps for training sales development representative agents.
Does Spider Cloud support anti-detection?
Yes, it includes stealth anti-detection, rotating proxies, and an /ai/unblocker endpoint to avoid blocks.
Can I use both tools together?
Yes. Use Spider Cloud to gather training data, then use Foundry to simulate and fine-tune your agent on that data.
What are the pricing models?
Foundry: contact sales. Spider Cloud: freemium, pay per page (~$0.03/1k), with optional AI Studio add-on ($6/mo).
What else are Foundry and Spider Cloud compared with?
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Where can you read more about Foundry and Spider Cloud?
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