Kento vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Kento | Spider Cloud |
|---|---|---|
| Pricing | Free (1K req/mo), Startup $19/mo (20K req), Enterprise custom | Free (1K pages/mo), Pay-as-you-go $0.01/1K pages, AI Studio $6/mo |
| Primary Use | Semantic caching for LLM API calls | Web crawling, scraping, and search for AI agents |
| Integration | Change base URL in OpenAI/Anthropic/Gemini client | API endpoints + SDKs for LangChain, LlamaIndex, etc. |
| Key Feature | Semantic caching – understands paraphrases | Rust engine – ultra-fast crawling, 99.9% success rate |
| Compliance | SOC-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.

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.
Visit WebsiteWhat 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 chatbotPick: 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 dataPick: 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 cachingPick: Kento
Kento Enterprise offers on-prem deployment, SOC-2, HIPAA, and SSO – crucial for regulated industries.
- RAG pipeline builderPick: 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
