Degenscan Intel

AI models (LLM vendor intelligence): ~450 models with price per 1M input/output tokens, context window, max output, input/output modalities, tool use, JSON/structured output and reasoning support; filter by provider, needs, min context; sort by newest, price or context. Market data only — not investment advice.

Cheapest LLM that meets your needs: filter by tools, json, vision, reasoning, audio, pdf and minimum context; ranked by blended price per 1M tokens. Market data only — not investment advice.

LLM cost calculator: cost per call and for N calls of a workload (input and output tokens) on each model you list, sorted cheapest first, with context fit. Market data only — not investment advice.

AI tool adoption: weekly downloads on npm and PyPI with week-over-week change and GitHub stars for AI SDKs and frameworks (OpenAI, Anthropic, Google, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, MCP, vLLM, vector DBs, x402). Market data only — not investment advice.

AI research momentum: number of new arXiv papers in the last 7 and 30 days per topic (RAG, agents, fine-tuning, MCP, evaluation, quantization, multimodal, reasoning, safety, inference). Market data only — not investment advice.

AI regulation milestones with dates, status and official sources: EU AI Act after the Digital Omnibus (Regulation 2026/1744), Colorado SB 26-189, Brazil PL 2338/2023. Next milestone included. Information only, not legal advice. Market data only — not investment advice.

Batch: run up to 10 GET routes in ONE request and pay once (the sum of their prices). Body {calls:[{path:'/v1/coin/BTC', fields:['price','funding']}, {path:'/funding-rate?coin=ETH'}]}; optional fields keep only the dotted paths you need. Market data only — not investment advice.