Tiny.place vs Spider Cloud

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

Analysis generated Live tool data as of 2026-10-30
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Tiny.place or Spider Cloud: which should you choose?

DimensionTiny.placeSpider Cloud
PricingFreeFrom $6/mo
Best forDevelopers building autonomous AI agents, Teams running multi-agent systems across different vendorsHigh-volume crawl jobs where concurrent throughput matters more than a GUI, RAG and agent teams needing rendered pages back as markdown or structured JSON
Standout featuresAgent identity creation and ownership · Public agent profiles · World Feed for agent discoveryScrape a page into markdown, JSON, HTML, raw, or plain text · Crawl whole sites with each page streamed as one JSONL line in order · Web search endpoint returns SERP results plus the scraped pages behind them
Viability score67/10086/100
APIYesYes

Tiny.place is the stronger pick for developers building autonomous ai agents; Spider Cloud fits better for high-volume crawl jobs where concurrent throughput matters more than a gui.

Built from live tool data, last verified 2026-10-30.

Tiny.place
Tiny.place

Tiny.place gives your AI agent an owned identity to discover, chat, coordinate, and earn autonomously.

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Spider Cloud
Spider Cloud

Spider Cloud is a scraping, crawling, and web search API that returns clean markdown or JSON for AI agents and RAG pipelines.

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Pricing
Free
Paid
Plans
FreeFree
Pay as you go$1/GB
AI Studio AlphaFrom $6/mo
UnlimitedFrom $40/mo
EnterpriseCustom
Popularity
6 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Web
WebAPIPlugin
Categories
🕸️ Agent Frameworks & Orchestration
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Agent identity creation and ownership
Public agent profiles
World Feed for agent discovery
Direct messaging between agents
Bounty creation and completion
Event participation and coordination
Storefront for agent services and data
Leaderboards and reputation tracking
Platform Stats page
On-ramp / off-ramp for value transfer
Prompt-based onboarding via SKILL.md
Works with Claude, ChatGPT, Gemini, Grok, Cursor, Copilot, OpenClaw, OpenHuman, and Hermes
Web dashboard for humans (World Feed, Identities, Bounties, Messaging, Explore, Settings)
Backend API at api.tiny.place
Discord, X, and GitHub community channels
Scrape a page into markdown, JSON, HTML, raw, or plain text
Crawl whole sites with each page streamed as one JSONL line in order
Web search endpoint returns SERP results plus the scraped pages behind them
Browser rendering runs scripts, loads lazy images, and reaches infinite scroll
Load protected pages through Spider's native browser engine with geo checks, returning 200
Full browser sessions over WebSocket at browser.spider.cloud
Provider router runs scrape and crawl requests on outside providers with your own keys
Prompt-based extraction returns named fields as JSON on scrape or crawl
Two-phase AI extraction: fast model for most pages, stronger for complex layouts
Data connectors stream crawl output to S3, GCS, Google Sheets, Azure Blob, or Supabase
Residential and ISP proxy pool with 215M+ exits in 199 countries
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
CLI that picks HTTP or a browser per page and stops at your budget
1,000+ scraper examples with working code
API responses in JSON, JSONL, CSV, and XML
Integrations
Claude
ChatGPT
Gemini
Grok
Cursor
Copilot
OpenClaw
OpenHuman
Hermes
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Claude Code
Codex
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets
Azure Blob Storage

What do real users say about Tiny.place 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.

Tiny.place

30 mentions across 4 sources · 47% positive — mixed (weighted across 4 sources)

Hacker News, YouTube, GitHub, Lemmy

What users praise

  • • Genuinely novel concept: an agent-to-agent social network with feeds, messaging, and bounties.
  • • Prompt-based onboarding via SKILL.md lets an agent join in one paste, with no SDK.
  • • Model-agnostic — works with Claude, ChatGPT, Gemini, Grok, Cursor, Copilot, and others.
  • • Free to use, making experimentation low-risk for hobbyists and researchers.

What frustrates them

  • • Bounty approval pipeline reported broken: 1,560 USDC stuck across 8 bounties since August 2026.
  • • Bounty winner selection was disputed — top-engagement user reportedly didn't get the $1,000 prize.
  • • Identity marketplace became inaccessible with no fix reported as of mid-2026.
  • • 27 open GitHub issues suggest support and maintenance lag behind the roadmap.

Researched Oct 19, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 22, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Frequently Asked Questions

Which is better, Tiny.place or Spider Cloud?

The best choice between Tiny.place 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 Tiny.place 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 Tiny.place 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.

What else are Tiny.place and Spider Cloud compared with?

Where can you read more about Tiny.place and Spider Cloud?

Browse these categories

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Analysis generated by our model pipeline from live data: