npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

dingdawg-support-agent

v2.0.3

Published

Customer support that resolves faster every week. Learns resolution patterns from your tickets. The answer that fixed ticket #47 auto-surfaces for ticket #894.

Readme

dingdawg-support-agent

Breakthrough support ticket backlogs. AI customer support that learns YOUR resolution patterns.

AI-powered ticket classification, response drafting, knowledge base search, satisfaction tracking, and escalation decisions. Analyze sentiment, draft empathetic responses, and route tickets to the right team. Every action is governed and receipted.

For AI Assistants

This MCP server returns structured JSON for seamless integration:

  • Ticket classification with category, priority, and sentiment scores
  • Satisfaction metrics (CSAT/NPS) with trend tracking
  • Governance receipt on every call (audit-ready)
  • Chain-ready: classify_ticket -> knowledge_search for context -> draft_response -> satisfaction_check post-resolution -> escalation_decision when needed

Composable with any MCP client: Claude Code, Cursor, VS Code, ChatGPT Desktop, Windsurf.

Install

npx dingdawg-support-agent

Claude Code

claude mcp add support -- npx dingdawg-support-agent

Cursor

Add to .cursor/mcp.json:

{"mcpServers": {"support": {"command": "npx", "args": ["dingdawg-support-agent"], "env": {"DINGDAWG_API_KEY": "your-key"}}}}

Full Stack (all 13 agents)

npx dingdawg-setup

Tools

| Tool | Free Tier | Paid Tier | |------|-----------|-----------| | classify_ticket | 20/day, keyword-based classification | Unlimited, LLM-powered intent + sentiment analysis | | draft_response | 10/day, template-based responses | Unlimited, AI-personalized with tone matching | | knowledge_search | 15/day, basic keyword search | Unlimited, semantic search with relevance ranking | | satisfaction_check | 10/day, basic CSAT scoring | Unlimited, NPS + CSAT with trend analysis | | escalation_decision | 10/day, rule-based routing | Unlimited, AI-powered with context-aware routing |

Pricing

  • Free: 20 classifications/day, basic analysis
  • Pro: $49/mo, 100 calls/day, AI-powered deep analysis
  • Pay-as-you-go: $0.25/call, no commitment

Get API key: https://dingdawg.com/developers

Governed

Every call is receipted and auditable. Ticket classifications include confidence scores. Response drafts are checked for tone appropriateness. Escalation decisions include reasoning trails for quality assurance review.

Support

[email protected] | https://dingdawg.com