Distill vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Distill | Spider Cloud |
|---|---|---|
| Pricing | Free (open-source, self-hosted; requires API keys for embeddings) | Freemium: $0.03/1k pages; AI Studio add-on $6/mo |
| Best For | LLM agent memory management & context compression | Web crawling, scraping, and data for AI agents |
| Core Technology | Deterministic six-stage pipeline: cache, cluster, select, compress, MMR, summarize | Rust engine, stealth anti-detection, rotating proxies, AI extraction |
| Key Features | Semantic dedup, conflict detection, sensitivity tagging, hierarchical decay, supersession, MMR | Browser AI commands (Act, Extract, Observe), 1000+ scraper catalog, data connectors, screenshots |
| Integrations | Claude Desktop, Cursor, OpenAI, Ollama, LangChain, LlamaIndex, Pinecone, Qdrant | LangChain, LlamaIndex, CrewAI, AutoGen, S3, GCS, Supabase |
| Latest News Impact | No product updates; news focuses on LLM distillation techniques | Browser AI commands (Mar 2026), scraper catalog (Feb 2026), data connectors (Feb 2026) |
If you need persistent memory for LLM agents and don't want to pay, Distill is perfect—it's free and deterministic. For building AI agents that need real-time web data, Spider Cloud’s low-cost scraping and Browser AI commands win. They're complementary: use Distill for memory and Spider Cloud for web data.
Open-source context intelligence & persistent memory layer for LLM agents with ~12ms deterministic dedup.
Visit Website
AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.
Visit WebsiteWhat real users say: Distill vs Spider Cloud
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Distill
56 mentions across 4 sources · 43% positive — mixed
Hacker News, Product Hunt, Stack Overflow, Lemmy
What users praise
- • Deterministic output: same input always gives same output, improving reliability.
- • No LLM calls during processing, keeping overhead low and costs predictable.
- • Persistent memory with hierarchical decay manages long-term agent context.
- • Semantic dedup with cosine thresholds reduces token waste effectively.
What frustrates them
- • No real user reviews or community feedback to validate claims.
- • Setup requires developer skills; not plug-and-play for non-coders.
- • Documentation and support channels are unclear in the data.
- • Name confusion with a video service may mislead potential users.
Researched Aug 19, 2026
Spider Cloud
41 mentions across 2 sources · 0% positive — critical
YouTube, Lemmy
What users praise
- • Competitive pay-as-you-go pricing at $1/GB with no expiry.
- • Default rate limit of 10,000 requests per minute is generous.
- • Broad output formats (HTML, markdown, JSON, CSV) cover diverse needs.
- • Integrated Web Search API bundles SERP and extraction for AI agents.
What frustrates them
- • No community feedback to confirm reliability or performance.
- • Self-reported metrics lack independent verification.
- • Stealth browser success may vary across real sites.
- • Potential legal risks from scraping; compliance is user's responsibility.
Researched Aug 26, 2026
Who should pick which
- Solo developer building an AI agentPick: Distill
Free and open-source, perfect for adding persistent memory and reducing token costs without upfront investment.
- Data scientist building a RAG pipeline with web sourcesPick: Spider Cloud
Low-cost web scraping with structured output; Browser AI commands help extract specific data from complex pages.
- Startup needing both memory and web data for agentPick: Spider Cloud
Start with Spider Cloud for data ingestion; complement with Distill for memory (free) once context bloat becomes an issue.
- Enterprise team with strict compliance needsPick: Distill
Deterministic pipeline with audit trails and sensitivity tagging helps meet regulatory requirements for data handling.
- Developer automating browser interactionsPick: Spider Cloud
Browser AI commands (Act, Extract, Observe) via WebSocket enable remote control of browsers; 1000+ scraper catalog speeds development.
Frequently Asked Questions
Distill vs Spider Cloud: which should you choose?
If you need persistent memory for LLM agents and don't want to pay, Distill is perfect—it's free and deterministic. For building AI agents that need real-time web data, Spider Cloud’s low-cost scraping and Browser AI commands win. They're complementary: use Distill for memory and Spider Cloud for web data.
Can Distill and Spider Cloud work together?
Yes. Spider Cloud scrapes web data, then Distill can deduplicate and compress that data before feeding it to an LLM, reducing token waste.
Is Distill really free?
Yes, Distill is open-source and free. You only pay for embedding API calls (e.g., OpenAI) if you don't use a local model like Ollama.
Does Spider Cloud have a free tier?
Spider Cloud offers a free tier with limited credits. After that, it's pay-as-you-go at $0.03 per 1,000 pages. AI Studio add-on is $6/mo.
Which tool is better for reducing LLM costs?
Distill directly reduces token usage by 30-40% through dedup and compression. Spider Cloud reduces cost by being a cheap data source ($0.03/1k pages).
Does Distill support web scraping?
No, Distill only processes input from existing sources. It does not fetch web pages. For that, use Spider Cloud.
Can I self-host Spider Cloud?
Yes, Spider Cloud has an open-source core on GitHub, but the cloud version offers better performance, proxies, and managed infrastructure.
What is the difference between Distill's 'write-time dedup' and 'conflict detection'?
Write-time dedup merges entries with cosine distance <0.15. Conflict detection flags entries between 0.15 and 0.35 as potential contradictions, not merging them.
What are Browser AI commands in Spider Cloud?
They are WebSocket commands: Act (click/type/navigate), Extract (pull structured data), and Observe (describe screen). Requires an AI model, available since March 2026.
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Last reviewed: July 3, 2026