Retrace 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

DimensionRetraceSpider Cloud
Core FocusDebugging & observability for AI agent runsWeb crawling & scraping for AI agents
Key FeatureFork & replay agent runs in sandboxRust-based high-speed crawling engine
IntegrationsLangChain, CrewAI, AutoGen, custom SDKsLangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify
Best ForTeams debugging multi-step agent workflowsRAG pipelines needing up-to-date web data
Latest News ImpactNo recent product updates; unrelated retraction newsBrowser AI commands (Act/Extract/Observe) via WebSocket; scraper catalog; data connectors

Choose Retrace if you obsess over agent run quality and need to debug/fork every step. Choose Spider Cloud if your agent's main bottleneck is getting fresh web data cheaply and at scale. For most AI developers, these tools are complementary rather than competitive.

Retrace
Retrace

Retrace records every AI agent run, forks the failing step, and replays it to prove your fix before you ship.

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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/mo
$29/mo
$99/mo
$399/mo
$24,000/yr billed annually
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
8 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
WebAPICLI
WebAPIPluginCLIDesktop
Categories
📡 LLM Observability & Evals
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Record every LLM call, tool call, cost, and error with one @retrace.record decorator
Fork from any span in a recorded run and re-run the branch in a sandbox
Prove-the-fix verdict: improved, regressed, or unchanged
Cassette VCR deterministic replay for repeatable re-runs
Real-time streaming of agent events onto a scrubbable timeline
Guardrails and circuit breakers that halt a run on loops, steps, or budget ceilings
Pre-call enforcement gateway with hold-for-approval to block bad actions before they run
MAST failure taxonomy: auto-classification into 14 failure modes
Detection for hallucination, groundedness gaps, drift, and failure clustering
CI regression gates that fail the build on agent regressions
LLM-judge evaluations, auto eval-rules, and datasets
Multi-agent session tracing with causal graphs and agent topology
Agent memory inspection, prompt versioning, and shareable tapes
Semantic search: describe the bug in plain language
OpenTelemetry ingest and one-decorator SDK for Python and TypeScript agents
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
LangChain
CrewAI
LlamaIndex
OpenAI
Anthropic
Gemini
GitHub
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Retrace 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.

Retrace

47 mentions across 3 sources · 35% positive — critical (averaged across 3 sources)

Hacker News, GitHub, Lemmy

What users praise

  • • Fork and replay agent runs to reproduce and fix failures deterministically.
  • • Step-by-step execution timeline with full state inspection at each turn.
  • • Side-effect free re-runs: no external API calls during replay forks.
  • • Integrates directly with LangChain, CrewAI, AutoGen, and custom SDKs.

What frustrates them

  • • Code changes during replay cause divergence, limiting what-if experimentation.
  • • Very limited community presence, making peer support scarce.
  • • No Reddit, YouTube, or Product Hunt coverage to evaluate real-world usage.
  • • Notion of separate open-source project with same name causes confusion when searching online.

Researched Jul 3, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 14, 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.

Who should pick which

  • Solo founder debugging agent workflows
    Pick: Retrace

    Retrace's free Hobby tier provides fork/replay and step-by-step inspection, perfect for iterating on multi-step agents without upfront cost.

  • RAG pipeline developer needing fresh web data
    Pick: Spider Cloud

    Spider Cloud's cheap crawling ($0.03/1000 pages) and data connectors to S3/GCS/Supabase make it ideal for feeding timely content into vector stores.

  • Engineering team monitoring production agents
    Pick: Retrace

    Team tier ($99/mo) gives RBAC, anomaly detection, and shareable run snapshots—critical for collaborative debugging.

  • AI Studio user wanting natural language crawling
    Pick: Spider Cloud

    Spider Cloud's AI Studio add-on ($6/mo) lets non-engineers specify crawl goals in plain language.

  • Researcher needing to reproduce agent failures
    Pick: Retrace

    Retrace's sandbox forks and diff views allow exact reproduction and comparison without external side effects.

Frequently Asked Questions

Retrace vs Spider Cloud: which should you choose?

Choose Retrace if you obsess over agent run quality and need to debug/fork every step. Choose Spider Cloud if your agent's main bottleneck is getting fresh web data cheaply and at scale. For most AI developers, these tools are complementary rather than competitive.

Can I use both Retrace and Spider Cloud together?

Yes. Spider Cloud fetches web data for your agent, and Retrace debugs the agent's runs. They complement each other.

Which tool is better for a LangChain agent?

Both integrate with LangChain. Use Retrace for debugging and Spider Cloud for web search/crawling.

Does Retrace support on-prem deployment?

Yes, Retrace offers an on-prem deployment option for sensitive data.

Does Spider Cloud charge for failed requests?

No, failed requests are not billed.

What is the pricing of Retrace's Hobby tier?

Retrace's Hobby tier is free.

What's new in Spider Cloud as of March 2026?

New Browser AI commands (Act, Extract, Observe) via WebSocket, scraper catalog with 1000+ examples, and data connectors to cloud storage.

Which tool has a diff view for comparing runs?

Retrace offers a diff view comparing two runs.

Is Spider Cloud suitable for one-off scraping tasks?

Yes, but for simple one-off tasks a lightweight library may be easier.

More Retrace or Spider Cloud comparisons

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Last reviewed: July 3, 2026