Kento vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionKentoSpider Cloud
PricingFree (1K req/mo), Startup $19/mo (20K req), Enterprise customFree (1K pages/mo), Pay-as-you-go $0.01/1K pages, AI Studio $6/mo
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.

Kento
Kento

Semantic caching layer that cuts AI query costs by 40%

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Spider Cloud
Spider Cloud

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.

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Pricing
Freemium
Freemium
Plans
$0/month
$19/month
Custom
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
2 views
7.5k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
API
WebAPICLI
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 any website into markdown, JSON, or raw HTML
Full-site crawling at 100K+ pages/sec
10,000 core API requests per minute default
Web Search API: SERP + scraping + extraction in one call
/ai/search endpoint with relevance gate to skip irrelevant pages
Silk AI model: HTML-to-structured data and captcha solving on GPUs
Browser Cloud: full browser sessions over CDP
AI commands (Act, Extract, Observe) via WebSocket with AI Studio
Multiple output formats: HTML, raw, plain text, markdown, JSON, JSONL, CSV, XML
Stealth browser layer and Unblocker for anti-bot sites
Proxy pool with 215M+ residential and ISP IPs across 199+ countries
Robots.txt compliance on by default, disable per-request
data_connectors parameter: pipe results to S3, GCS, Google Sheets, Azure Blob, Supabase
extraction_schema parameter: AI output conforms to JSON schema
1,000+ ready-made scraper examples across 32 categories
Integrations
OpenAI
Anthropic
Google Gemini
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Kento 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.

Kento

44 mentions across 4 sources · 15% positive — critical

Hacker News, YouTube, Bluesky, Lemmy

What users praise

  • One-line integration: just change the base URL in your client.
  • Supports major LLM providers: OpenAI, Anthropic, Google Gemini.
  • Free tier offers 1,000 requests/month for testing.
  • Semantic caching catches paraphrased duplicates, not just exact matches.

What frustrates them

  • Extremely limited independent community feedback or reviews.
  • No support for non-major LLM providers or self-hosted models.
  • Semantic matching accuracy not independently verified.
  • Potential for stale cached responses with evolving queries.

Researched Jul 24, 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 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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Last reviewed: July 3, 2026