PromptUnit 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

DimensionPromptUnitSpider Cloud
Primary FunctionAI proxy for automatic model routing to reduce LLM costsWeb crawling & scraping API for real-time data extraction
Best ForEngineering teams using multiple LLM providers wanting to cut spendAI agents, RAG pipelines, developers needing structured web data
IntegrationsOpenAI, Anthropic, Google Gemini, Groq, DeepSeek, Mistral, Together AI, Perplexity, xAI, CohereLangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, cloud storage connectors
Unique FeaturesInferio engine, per-feature cost breakdown, savings forecast, quality regression alerts, hourly/daily spend capsRust engine, AI Studio natural language crawling, Browser AI WebSocket commands, Silk AI model, scraper catalog (1,000+ examples)
Latest News2026-06-12: Per-feature cost attribution; GPT-4o-mini quality analysis; Gemini 2.5 Pro vs Flash cost tradeoffs2026-03-05: Browser AI commands (Act, Extract, Observe); scraper catalog; data connectors

Spider Cloud and PromptUnit solve completely different problems. Choose Spider Cloud if you need fast, reliable web data extraction for AI agents or RAG — its Rust engine, AI Studio, and browser commands are unique. Choose PromptUnit if you already use multiple LLM providers and want to cut costs by 40-70% with zero code refactoring. A team needing both real-time web data and LLM cost optimization could use both together.

PromptUnit
PromptUnit

AI cost router that sends each call to the cheapest model clearing your quality bar, charging 20% of verified savings

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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
20% of verified savings
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
4 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
API
WebAPIPluginCLIDesktop
Categories
🚦 LLM Gateways & Model Routers
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Automatic routing to the cheapest model that clears your quality bar
Inferio engine classifies each call across 10 signal dimensions
Direct connections to OpenAI, Anthropic, Google, Groq, DeepSeek and OpenRouter
Mistral, Together AI, Perplexity, xAI and Cohere available as extra provider keys
Two-setting setup: OpenAI-compatible base URL swap plus PromptUnit key
Two-header auth (x-promptunit-key) with provider keys stored in dashboard
Per-feature cost attribution via the x-promptunit-feature header
Header or dashboard switch to turn routing off per request or per account
Nightly learning tuned on your own quality results
Email quality alerts when a task type's average score drops
Hourly and daily spend caps, $100/hr and $500/day by default, fail-open
Stricter quality threshold for hard tasks and sensitive topics
Crisis topics never moved off your chosen model
Automatic retry on your original model if a cheaper one fails
Zero prompt, completion or system-prompt storage — routing metadata only
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
Groq
DeepSeek
OpenRouter
Mistral
Together AI
Perplexity
xAI
Cohere
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

  • AI agent developer needing real-time web data
    Pick: Spider Cloud

    Spider Cloud provides a fast, Rust-based crawling/scraping API with AI Studio and Browser AI commands, perfect for feeding real-time data to agents.

  • Engineering team using multiple LLMs wanting cost reduction
    Pick: PromptUnit

    PromptUnit automatically routes requests to cheaper models, cutting costs 40-70% without code changes. The pay-per-save model and per-feature breakdown are ideal.

  • RAG pipeline builder needing up-to-date content
    Pick: Spider Cloud

    Spider Cloud's structured output and data connectors (S3, GCS) integrate seamlessly with RAG pipelines, ensuring fresh data.

  • Startup with high LLM usage but tight budget
    Pick: PromptUnit

    PromptUnit's 14-day free trial and zero upfront subscription let startups immediately cut costs without commitment.

  • Developer building a scraper for complex sites
    Pick: Spider Cloud

    Spider Cloud's 1,000+ scraper examples, AI unblocker, and browser commands handle difficult sites with high success rate.

Frequently Asked Questions

PromptUnit vs Spider Cloud: which should you choose?

Spider Cloud and PromptUnit solve completely different problems. Choose Spider Cloud if you need fast, reliable web data extraction for AI agents or RAG — its Rust engine, AI Studio, and browser commands are unique. Choose PromptUnit if you already use multiple LLM providers and want to cut costs by 40-70% with zero code refactoring. A team needing both real-time web data and LLM cost optimization could use both together.

Can I use Spider Cloud and PromptUnit together?

Yes, they solve different problems. You can use Spider Cloud to gather web data for your AI agents, and PromptUnit to optimize the LLM calls those agents make.

Does PromptUnit support on-premise deployment?

No, PromptUnit is a cloud proxy. It requires routing your API traffic through their servers.

Does Spider Cloud charge for failed requests?

No, failed requests are not billed.

How does PromptUnit's pricing work?

You pay 20% of the savings achieved. First 14 days free (observation mode). No subscription fee.

Can Spider Cloud handle JavaScript-heavy sites?

Yes, Spider Cloud offers a Browser Cloud with stealth anti-detection and Browser AI commands that can interact with dynamic pages.

How many providers does PromptUnit support?

10 providers: OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, Mistral, Together AI, Perplexity, xAI, Cohere.

Does Spider Cloud offer any free credits?

Yes, it includes 1,000 free credits to start.

Is there any latency added by PromptUnit?

PromptUnit adds a median latency of 41ms per request. Not suitable for sub-10ms applications.

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Last reviewed: July 2, 2026