Cost.dev (YC W21) – making agents cost-aware and 79% cheaper to call
79% token reduction for agent CLI calls with predicate pushdown and efficient output.

JinaAI and Firecrawl already solve this—Anno's token math is solid, but it's the same problem, solved.
AI agent builders, LLM app developers managing API costs, companies running web scraping for AI workflows
Jina AI Reader · Firecrawl · Browserless
79% token reduction for agent CLI calls with predicate pushdown and efficient output.
Async lightweight summarization + temporal-aware selection beats vector RAG for agent context scaling.
Drop-in proxy that cuts GPT token costs 40-60% without changing app code.
Custom TOON format saves tokens but LangChain and CrewAI already solve orchestration.
Prompt clustering with cost attribution when LangSmith already does observability.
93% token reduction via deterministic sanitization instead of trusting raw web content.