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Chiplab vs Tokonomics

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Chiplab compared with Tokonomics
DetailChiplab logo ChiplabTokonomics logo Tokonomics
What it doesThe API between AI agents and silicon Budget-first AI cost metering proxy for any stack
StageNot given Startup
Founded2023 2025
Based inDE CA
Pricing modelFreemium Freemium
PricingFree tier: 1,000 credits per day, resets every 24 hours. Pay-as-you-do: €10 per 1,000 credits. Enterprise: Custom pricing with volume commit, on-prem, and SLAs. Free: $0/month with 100 API calls/month, 1 seat, basic analytics, 30-day retention. Pro: $49/month with unlimited API calls, 5 seats, full analytics, hard spending caps, 90-day retention.
Key features
  • Compile firmware against production toolchains remotely without installation
  • Execute firmware on virtual chip instances with verdict, trace, and register state
  • Unit and integration testing on virtual hardware with coverage reports
  • Inject synthetic sensor data into running firmware
  • Query collective embedded corpus for chip-specific solutions
  • Support for Rust, C, and multiple RTOS frameworks
  • Real-time cost tracking with per-model and per-tag breakdowns
  • Budget alerts via email, Slack, or Teams at configurable thresholds
  • Hard spending caps that block requests with 429 response
  • Rate limiting with sliding window per API key
  • Support for 9 LLM providers and 60+ models
  • Analytics dashboard with daily spend charts and latency metrics
  • Works with any programming language via HTTP proxy
  • AES-256 encryption for provider API keys with BYOK model
  • 90-day data retention on Pro plan
  • Tag-based cost attribution by team, feature, or customer
What makes it different
  • Virtual instances of actual target chips, not generic CPU emulation, with same binary, peripherals, and interrupt timing as physical boards
  • Shared corpus that deepens with every call, allowing agents to inherit knowledge from previous runs
  • Eliminates need for physical hardware for testing, porting, and debugging
  • Single MCP endpoint exposes cross-compilation, peripheral simulation, sensor IO, and chip-specific plumbing
  • Access to licensed toolchains on demand without local installation
  • Minimal 31ms proxy overhead, only 3.6% latency impact on typical calls
  • No SDKs required, works with any HTTP client out of the box
  • Never stores prompts or completions, only billing metadata
  • Hard spending caps enforced by Redis to prevent overspend
Community votes00
DR (Domain Rating by Ahrefs)29 no change since last check28 no change since last check
Trust Flow (Majestic)55
Citation Flow (Majestic)2719
Referring domains (Majestic)11769

7 details filled in for both companies.

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