Distill vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Live tool data as of 2026-07-17
Reviewed by our team on
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At a glance

DimensionDistillSpider Cloud
Pricingfree · from Open Source $0freemium · from Free Credits on Signup $0
Best forDevelopers building production LLM agent systems, Teams needing persistent memory across agent sessionsAI agents needing real-time web data for RAG, RAG pipelines requiring up-to-date content from the web
Standout featuresPersistent memory across agent sessions · Semantic deduplication with cosine distance threshold (0.15 default) · Conflict detection between 0.15 and 0.35 cosine distanceWeb crawling and scraping API with Rust engine · AI Studio add-on for natural language crawling ($6/mo) · Browser AI commands via WebSocket: Act, Extract, Observe
Viability score87/10088/100
APIYesYes

Distill is the stronger pick for developers building production llm agent systems; Spider Cloud fits better for ai agents needing real-time web data for rag.

Built from live tool data, last verified 2026-07-17.

Distill
Distill

Persistent memory, semantic dedup, and context compression for LLM agents. ~12ms, no LLM calls.

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Spider Cloud
Spider Cloud

Fast web crawling, scraping & search API for AI agents

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Pricing
Free
Freemium
Plans
$0
$0
$5
$25
$50
$100
$500 (+5% bonus)
$2,000 (+12% bonus)
$350/mo
Popularity
1 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APICLIDesktop
WebAPI
Categories
⚙️ Developer Infrastructure🤖 Automation & Agents
⚙️ Developer Infrastructure
Features
Persistent memory across agent sessions
Semantic deduplication with cosine distance threshold (0.15 default)
Conflict detection between 0.15 and 0.35 cosine distance
Sensitivity tagging: PII, credentials, internal references
Hierarchical decay: full text → summary → keywords → evicted
Write-time dedup: merges similar entries, not duplicates
Supersession: replace outdated memories with audit trail
Task-relevance ranking with tag boosting and min relevance filter
Six-stage pipeline: cache, cluster, select, compress, MMR, summarize
Extractive compression removes noise, preserves signal
Maximal Marginal Relevance (MMR) for diversity + relevance
Session management with configurable token budget (default 128K)
Auto-compression and importance-based eviction per session
Deterministic processing: same input → same output
OpenAPI 3.1 spec with interactive Swagger UI docs
Web crawling and scraping API with Rust engine
AI Studio add-on for natural language crawling ($6/mo)
Browser AI commands via WebSocket: Act, Extract, Observe
Silk custom AI model for extraction and captcha solving
Browser Cloud with stealth anti-detection for heavily protected sites
Structured output: markdown (GitHub, plain), HTML, JSON, JSONL, CSV, XML, plain text
Screenshot capture of pages
Link extraction from pages
Search endpoint for query-based data retrieval
Unblocker with rotating proxies and automatic retries
1,000+ ready-made scraper examples across 32 categories
Data connectors: S3, GCS, Google Sheets, Azure Blob, Supabase
Respects robots.txt (configurable)
Failed requests not billed
Open-source core available on GitHub
Integrations
Claude Desktop
Cursor
OpenAI
Ollama
Anthropic
Cohere
LangChain
LlamaIndex
Pinecone
Qdrant
Prometheus
Grafana
OpenTelemetry
Docker
Fly.io
CrewAI
FlowiseAI
AutoGen
Agno
Google Cloud Storage
Amazon S3
Supabase
Azure Blob
Google Sheets
Dify
MCP

Who should pick which

  • Solo developer building an AI agent
    Pick: 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 sources
    Pick: 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 agent
    Pick: 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 needs
    Pick: Distill

    Deterministic pipeline with audit trails and sensitivity tagging helps meet regulatory requirements for data handling.

  • Developer automating browser interactions
    Pick: Spider Cloud

    Browser AI commands (Act, Extract, Observe) via WebSocket enable remote control of browsers; 1000+ scraper catalog speeds development.

Frequently Asked Questions

Which is better, Distill or Spider Cloud?

The best choice between Distill and Spider Cloud depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Distill and Spider Cloud?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Distill or Spider Cloud?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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Explore each tool further

Distill
View Distill reviewDistill alternatives
Spider Cloud
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