Zipp

Zipp is an AI-assisted crypto newsroom built to compress a noisy, fast-moving market into a single readable surface. Instead of opening twenty tabs to judge whether a headline deserves attention, users open one feed where every story has already been read end-to-end, rewritten into a consistent shape, and labeled with a Bullish, Neutral, or Bearish sentiment. A qualitative impact score sits alongside each item so traders can immediately tell which stories carry weight and which are noise. The platform serves more than just readers. For developers and partner sites, Zipp exposes a real-time WebSocket stream, REST endpoints, and drop-in script widgets so the same ranked feed can be rendered under another brand without rebuilding the pipeline. Per-workspace API keys with rotation and quotas make it safe to hand off to clients or internal teams, while hosted MCP support lets assistants like Claude, ChatGPT, and Cursor pull the feed directly into a conversation. Under the hood, Zipp runs a six-stage pipeline. A heuristic ban list filters spam and duplicates, a template matcher catches structured events like whale alerts, ETF flows, and treasury filings, then a relevance and sentiment classifier triages what remains. An editorial pass rewrites each story in three formats, a per-language localizer ships it across English, Turkish, German, Spanish, Portuguese, and French, and a multi-channel publisher fans the post out to web, Telegram, and X in parallel. Every stage logs model, tokens, cost, and latency, which means editorial decisions stay auditable rather than opaque. The result is a tool shaped for traders, investors, builders, and analysts who need signal without spending their morning sifting through noise. Per-token pages bundle exchange listings and related coverage so a single click takes you from headline to context, and the multi-language reach means regional teams can work from the same source of truth instead of translating by hand.