Tokentelemetry 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

DimensionTokentelemetrySpider Cloud
PurposeLocal observability for AI coding agentsWeb crawling & scraping API for AI agents
Target UserIndividual developers tracking AI coding assistant usageDevelopers building AI agents needing web data
Key FeatureAuto-discovery of 11+ agents, replayable tracesRust engine, 99.9% success rate, AI extraction
DeploymentLocal dashboard (no cloud dependency)Cloud API (open-source core on GitHub)
Latest NewsStable v1.0.0 (July 2026)Browser AI commands, scraper catalog, data connectors
Try TokentelemetryTry Spider Cloud
Tokentelemetry
Tokentelemetry

Local, MIT-licensed token and cost observability for AI coding agents — reads the logs your agents already write.

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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
Free
Freemium
Plans
$0
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
13 views
7.5k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
DesktopCLI
WebAPIPluginCLIDesktop
Categories
📡 LLM Observability & Evals
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Auto-detects AI coding agents from logs already written to disk, zero configuration
Read-only local analysis: no SDK, no API key, no signup, no code changes
One-line curl installer plus a separate Windows PowerShell script
Live dashboard on localhost:13000 with 15-second KPI auto-refresh
Per-agent and per-model token, cost, and usage distribution charts
Replayable session traces with events, messages, tool calls, artifacts and plan-mode output
Honest labeling on encrypted reasoning rather than inferred content
One-click LLM summarization into narrative or structured What/Tools/Why/Next briefs, cached by content hash
Cost anomaly detection for silent reasoning-token waste (MiMo thinking-mode)
Project view with per-working-directory cards, 365-day heatmap, streaks and configuration overlays
Cache-efficiency metrics surfaced in the Analytics tab
Delegation & Ecosystem view for subagent spend, skills used, and MCP servers
Budgets & Alerts configuration built into the dashboard
Dedicated /hermes dashboard: gateway health, scheduled-job status, skills and memory pages
Hermes source breakdown across 38 platforms (CLI, Telegram, Discord, Slack, Feishu, DingTalk, cron, webhook)
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
Claude Code
Codex
Gemini CLI
Cursor
GitHub Copilot
Antigravity
Qwen CLI
OpenCode
Grok Build
Cline
DeepSeek Harness
Hermes Agent
Qoder
Kimi Code
Z.ai ZCode
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Tokentelemetry 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.

Tokentelemetry

20 mentions across 3 sources · 67% positive (averaged across 3 sources)

YouTube, Product Hunt, GitHub

What users praise

  • • 100% local and offline; your data never leaves your machine.
  • • Zero configuration: auto-detects 17 agents without SDK or code.
  • • One-command setup and read-only; never writes to agent files.
  • • Replayable traces with kind-aware highlighting for deep debugging.

What frustrates them

  • • Cost estimates may be inaccurate for some providers/models.
  • • Limited community feedback; only 335 GitHub stars.
  • • No formal support; troubleshooting relies on GitHub issues.
  • • Dashboard may be overwhelming for beginners new to observability.

Researched Aug 29, 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 developer building an AI agent for competitive research
    Pick: Spider Cloud

    Spider Cloud provides a reliable API to scrape competitor websites and structure data into markdown or JSON for the agent, with AI extraction and anti-detection.

  • Developer using Claude Code daily, wants to track token costs
    Pick: Tokentelemetry

    TokenTelemetry auto-discovers Claude Code logs and provides live cost tracking, session traces, and anomaly detection without any configuration.

  • Engineering team building a RAG pipeline on recent web data
    Pick: Spider Cloud

    With integrations to LangChain and data connectors to cloud storage, Spider Cloud fits into RAG pipelines to supply fresh, structured content.

  • Hermes Agent operator monitoring multiple bots
    Pick: Tokentelemetry

    TokenTelemetry includes a dedicated Hermes Agent dashboard with gateway health, skills, and memory metrics, plus broad agent support.

Frequently Asked Questions

Can Spider Cloud scrape sites with aggressive anti-bot measures?

It uses rotating proxies and automatic retries via the Unblocker feature, but very aggressive measures may still be challenging. The AI extraction handles captchas.

Does TokenTelemetry require internet?

No, it is 100% local and works offline with no internet dependency for the dashboard itself.

What is Spider Cloud's success rate?

Spider Cloud advertises a 99.9% success rate on requests.

How many agents does TokenTelemetry support?

It auto-discovers 11+ agents including Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Qwen CLI, OpenCode, Vibe, Antigravity CLI, Grok Build, Hermes Agent, and Cline.

Can I use Spider Cloud for free?

Spider Cloud offers a freemium tier with some free usage, but details are not specified. The open-source core can be self-hosted.

Is TokenTelemetry open-source?

Yes, it is free and open-source.

What is the latest feature for Spider Cloud?

Browser AI commands (Act, Extract, Observe) via WebSocket, plus a scraper catalog and data connectors were added in early 2026.

What is the latest version of TokenTelemetry?

Version 1.0.0, released July 2026, is the first stable production-ready release.

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Explore each tool further

Tokentelemetry
View Tokentelemetry reviewTokentelemetry alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI LLM Observability & Evals toolsBest AI Web Scraping & Search APIs toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026