OceanToken vs Tokonomics

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

OceanToken compared with Tokonomics
Detail	OceanToken	Tokonomics
What it does	One OpenAI-compatible API and prepaid balance for nearly 500 AI models at lower prices	Budget-first AI cost metering proxy for any stack
Stage	Not given	Startup
Founded	Not given	2025
Based in	Not given	CA
Pricing model	Freemium	Freemium
Pricing	Free models with limited throughput; paid models charged per unit (language models per 1 million input and output tokens, images per image, video per second, speech per 1,000 characters, transcription per minute). Prices vary by model with discounts up to 50% compared to official rates. Example: Dee	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	Nearly 500 AI models from leading publishers OpenAI-compatible and Anthropic-compatible API Text, image, video, speech and transcription models Per-key spending limits MCP server integration with Codex, Claude Code, Cursor, Gemini CLI Free models with limited throughput Per-model pricing with no platform fee Prepaid balance system AI Workspace for team collaboration and research	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	Single API key and balance for nearly 500 models with no platform fee Discounts up to 50% compared to official model pricing OpenAI and Anthropic API compatibility without changing request format Works directly with Claude Code, Codex, Cursor and Gemini CLI via MCP server No data used for model training	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 votes	0	0
DR (Domain Rating by Ahrefs)	31 no change since last check	28 no change since last check
Trust Flow (Majestic)	3	5
Citation Flow (Majestic)	26	19
Referring domains (Majestic)	20	69

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