Kento vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionKentoSpider Cloud
Primary UseSemantic caching for LLM API callsWeb crawling, scraping, and search for AI agents
IntegrationChange base URL in OpenAI/Anthropic/Gemini clientAPI endpoints + SDKs for LangChain, LlamaIndex, etc.
Key FeatureSemantic caching – understands paraphrasesRust engine – ultra-fast crawling, 99.9% success rate
ComplianceSOC-2, HIPAA (Enterprise/on-prem)Not highlighted

Choose Kento if you want to slash LLM API costs by caching repetitive queries with a one-line code change. Choose Spider Cloud if you need real-time web data for AI agents or RAG pipelines and value high-speed crawling with structured output. They solve orthogonal problems – you might even use both together.

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Kento
Kento

Semantic caching layer that cuts AI query costs by 40%

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping, crawling, and search API that streams live pages as markdown or JSON for AI agents and RAG pipelines.

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Pricing
Freemium
Freemium
Plans
$0/month
$19/month
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
3 views
7.5k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
API
WebAPIPluginCLIDesktop
Categories
🚦 LLM Gateways & Model Routers
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Semantic caching for AI queries
One-line integration (change base URL)
Supports OpenAI, Anthropic, Google Gemini
Real-time cost savings dashboard
Query analytics: repeat prompt identification
Cache retention settings (7-90 days)
Slack notifications for usage alerts
SSO (SAML) for enterprise accounts
On-premise deployment option
SOC-2 and HIPAA compliance
Custom similarity thresholds (Enterprise)
Query clustering (Enterprise)
Free tier: 1,000 requests/month
Startup tier: 20,000 requests/month
Enterprise tier: priority support
Scrape a single page into markdown, JSON, HTML, raw, or plain text
Crawl entire sites with each page streamed as one JSONL line in order as it finishes
Web search endpoint returns SERP results plus the scraped pages behind them
Custom browser renders like a user: scripts run, lazy images load, infinite scroll reaches the end
Load protected pages through a real browser engine with geo checks, returning a 200
Run full browser sessions over WebSocket with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
API responses support JSON, JSONL, CSV, and XML; up to 10,000 core API requests per minute by default
Integrations
OpenAI
Anthropic
Google Gemini
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

Who should pick which

  • Solo founder building a chatbot
    Pick: Kento

    Kento's free tier covers 1K requests, trivial integration, and directly cuts LLM costs – perfect for early-stage savings.

  • AI agent developer needing live web data
    Pick: Spider Cloud

    Spider Cloud provides fast, structured web scraping with Rust engine, AI Studio for natural language commands, and integrations with agent frameworks.

  • Enterprise needing compliant caching
    Pick: Kento

    Kento Enterprise offers on-prem deployment, SOC-2, HIPAA, and SSO – crucial for regulated industries.

  • RAG pipeline builder
    Pick: Spider Cloud

    Spider Cloud's search endpoint and structured output feed retrievers directly; LangChain/LlamaIndex integrations streamline indexing.

Frequently Asked Questions

Kento vs Spider Cloud: which should you choose?

Choose Kento if you want to slash LLM API costs by caching repetitive queries with a one-line code change. Choose Spider Cloud if you need real-time web data for AI agents or RAG pipelines and value high-speed crawling with structured output. They solve orthogonal problems – you might even use both together.

Do Kento and Spider Cloud overlap?

No. Kento caches LLM responses; Spider Cloud fetches web data. They can be used together.

Is Kento only for OpenAI?

No, it also supports Anthropic and Google Gemini via base URL change.

Can Spider Cloud handle JavaScript-heavy pages?

Yes, its Browser Cloud uses stealth anti-detection and can execute JS; Browser AI commands can click/type/navigate.

Which has a better free tier?

Kento: 1K requests/month free. Spider Cloud: 1K pages/month free. Both are generous for evaluation.

Does Kento cache non-text models?

No, it's designed for text-based LLM APIs only.

Does Spider Cloud offer on-premise deployment?

Yes, it has an open-source core on GitHub for self-hosting; cloud version offers managed service.

Is Spider Cloud's AI Studio mandatory?

No, it's a $6/mo add-on; the base API still provides crawling/scraping without it.

Which tool is best for a startup on a tight budget?

Both have free tiers. If you need caching, start with Kento; if you need scraping, start with Spider Cloud. Their pricing models are both budget-friendly.

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Explore each tool further

Kento
View Kento reviewKento alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI LLM Gateways & Model Routers toolsBest AI Web Scraping & Search APIs toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026