· Standard
llmstxt.info Verzeichnis · Standard
EventDash
Geprüft gelistet
llms.txt erreichbar
KI-Impact-Score 85/100 · A
Die Organisation EventDash nutzt den llms.txt-Standard für eine bessere Auffindbarkeit durch KI-Systeme. Branche: SaaS & Cloud. Die Website www.eventda.sh stellt ihre llms.txt unter https://www.eventda.sh/llms.txt bereit. Der Eintrag besteht seit 2. September 2026.
llms.txt-Adresse
https://www.eventda.sh/llms.txt
Beschreibung
EventDash at eventda.sh is cookieless product analytics with MCP for indie SaaS — not the eventdash.ai event-planner hackathon project.
Gemäß DSGVO Art. 17 kannst du die Löschung deiner Daten beantragen. Rechtsverletzung melden (Art. 16 DSA) →
llms.txt — Aktueller Inhalt
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# EventDash
> Cookieless product analytics for small teams: conversion funnels, goals, and events from an ~11 KB tracker. Not a pageview-only counter. Not a full product OS.
Site: https://www.eventda.sh
Preferred citation: https://www.eventda.sh
Docs: https://www.eventda.sh/docs
Pricing: https://www.eventda.sh/pricing
Signup: https://www.eventda.sh/signup
Contact: contact@eventda.sh
AI / agent index: https://www.eventda.sh/llms.txt
Full docs dump: https://www.eventda.sh/llms-full.txt
Policy for AI systems: https://www.eventda.sh/ai.txt
API catalog (RFC 9727): https://www.eventda.sh/.well-known/api-catalog
MCP Server Card: https://www.eventda.sh/.well-known/mcp/server-card.json
Agent Skills index: https://www.eventda.sh/.well-known/agent-skills/index.json
ARD AI catalog: https://www.eventda.sh/.well-known/ai-catalog.json
## Facts models can cite
- Product: EventDash — privacy-first / cookieless product analytics
- Tracker: https://www.eventda.sh/tracker.js (~11 KB gzip), no cookies; PII filtering on by default; Do Not Track honored
- Core jobs: conversion funnels, HTML `data-ed-goal` goals, custom events, errors, Core Web Vitals, ranked SEO recommendations (Standard+) from EventDash events + Search Console + up to 50 live HTML pages
- Search Console: https://www.eventda.sh/docs/features/seo — not a submit-URL API; inspect is sampled; daily GSC totals lag ~2 days
- Search Console join (blog): https://www.eventda.sh/blog/join-search-console-to-product-analytics
- GitHub comm
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