Build a Monitoring and Alerts Agent: News, Trends, and Email Digests

Most people check the same sources every morning. Hacker News for tech developments, Google News for industry coverage, Product Hunt for new launches, and maybe Google Trends for demand signals. It takes 30 to 45 minutes, and half of what you find is irrelevant to what you actually care about.

A monitoring agent flips this around. Instead of you visiting sources, the agent visits them for you, filters for what matters, and delivers a digest. You define the topics. The agent checks the sources, compiles the relevant items, and emails you the results.

The Monitoring Problem

The issue is not a lack of information. There is too much of it. Hacker News has 30+ stories on the front page at any time. Google News returns hundreds of results for broad queries. Product Hunt lists dozens of launches per day. Manually scanning these sources means spending most of your time on things that don’t matter to you.

Alerts services like Google Alerts help, but they’re blunt instruments. You get an email whenever your keyword appears in a news article, regardless of relevance or quality. No synthesis, no prioritization, no context.

A monitoring agent can do better because it understands context. It can search for your topics, read the results, filter for relevance, rank by importance, and produce a summary that actually saves you time.

What to Monitor

A good daily digest pulls from several source categories:

News coverage for industry developments, competitor moves, and market shifts. Google News gives you press coverage from thousands of sources, filtered by recency and relevance.

Trend data for shifts in demand and interest. Google Trends shows whether your keywords are spiking, declining, or holding steady. A sudden spike in search interest for a competitor’s name might signal a product launch or PR event worth investigating.

Tech community for early signals. Hacker News surfaces technical trends, tool launches, and engineering discussions before they hit mainstream press. Many developer-focused products get their first wave of adoption from HN.

Product launches for competitive intelligence. Product Hunt shows what’s being launched, what’s getting traction, and what categories are crowded. If three competitors launch in the same week, that’s worth knowing.

Building the Digest Workflow

Define Your Topics

Start by listing what you care about. Be specific. “AI” is too broad. “AI agent frameworks,” “MCP protocol,” and “tool use in LLMs” are focused enough to produce useful results.

“I want to monitor the following topics: AI agent frameworks, MCP protocol developments, tool use in large language models, and competitive intelligence tools. Set up a monitoring workflow for these.”

Search Each Source

The agent queries each data source for each topic:

“For each of my monitoring topics, search Google News for articles from the past 24 hours, check Google Trends for any significant movement, search Hacker News for relevant discussions, and check Product Hunt for related launches.”

The agent runs the searches in parallel and collects results. For four topics across four sources, that’s 16 queries, each returning multiple results.

Filter and Rank

Raw results are noisy. The agent filters them:

“From all the results, filter out anything that’s not directly relevant to my topics. Rank the remaining items by importance: breaking news and trend spikes first, then new product launches, then community discussions.”

The agent reads each result, assesses relevance, and produces a ranked list. Items that mention your specific topics prominently rank higher than items that mention them in passing.

Compile the Digest

The final step is formatting:

“Compile the filtered results into a daily digest email. Group by topic. For each item, include the title, source, a one-sentence summary, and the link. Add a ‘Key Takeaways’ section at the top with the 3 most important items.”

The agent produces a structured digest that looks like this:

Key Takeaways

  1. Anthropic released Claude Agent SDK v2.0 with native MCP support (Hacker News, 342 points)
  2. Google Trends shows “MCP server” searches up 85% week-over-week
  3. Two new competitive intelligence tools launched on Product Hunt

AI Agent Frameworks

  • “Claude Agent SDK v2.0: What’s New” (Hacker News, 342 points) - Major release adding…
  • “Building Production Agents with LangGraph” (Google News) - Tutorial covering…

Send the Email

“Send this digest to me at [email protected] with the subject line ‘Daily Intel Digest - March 18, 2026.’”

The agent calls the email tool and delivers the digest directly to your inbox.

Scheduling It

A monitoring agent is most useful when it runs automatically. There are several ways to schedule it:

Cron-based scheduling: If your agent framework supports scheduled execution, set it to run daily at 7am. Claude Code supports scheduled agents that can run on a cron schedule.

Manual trigger: Run the agent each morning with a single prompt: “Run my daily monitoring digest.” If you’ve saved the instructions as a skill or prompt template, this takes seconds.

Webhook-based: Some agent frameworks support webhook triggers. Set up a webhook that fires daily and triggers the monitoring workflow.

The key is that the workflow is the same regardless of how you trigger it. The agent searches the same sources, applies the same filters, and delivers the same format.

Email Delivery

The digest is only useful if it reaches you reliably. The email tool handles delivery, but consider a few things:

  • Subject line consistency makes digests easy to find and filter. Use a consistent format like “Daily Intel Digest - [Date].”
  • HTML formatting makes the digest scannable. The agent can format the email with headers, bullet points, and links.
  • Reply-to address: If your agent has its own email address through AgentPatch, recipients can reply directly to the digest and the agent can process responses.

Tools Involved

This workflow uses tools from AgentPatch:

  • google-news for press coverage and industry news
  • google-trends for tracking search interest and demand signals
  • hackernews-search for tech community discussions and early signals
  • producthunt-search for new product launches and competitive intelligence
  • send-email for delivering the compiled digest

Setup

Connect AgentPatch to your AI agent:

The AgentPatch CLI is designed for AI agents to use via shell access. Install it, and your agent can discover and invoke any tool on the marketplace.

Install (zero dependencies, Python 3.10+):

pip install agentpatch

Set your API key:

export AGENTPATCH_API_KEY=your_api_key

Example commands your agent will use:

ap search "web search"
ap run google-search --input '{"query": "test"}'

Get your API key from the AgentPatch dashboard.

Claude Code

Install the AgentPatch skill — it teaches Claude Code when to use AgentPatch and how to use the CLI:

/plugin marketplace add fullthom/agentpatch-claude-skill
/plugin install agentpatch@agentpatch

MCP Server (Alternative)

If you prefer raw MCP tool access instead of the skill:

claude mcp add -s user --transport http agentpatch https://agentpatch.ai/mcp \
  --header "Authorization: Bearer YOUR_API_KEY"

Replace YOUR_API_KEY with your actual key from the AgentPatch dashboard.

OpenClaw

Install the AgentPatch skill from ClawHub — it teaches OpenClaw when to use AgentPatch and how to use the CLI:

clawhub install agentpatch

MCP Server (Alternative)

If you prefer raw MCP tool access instead of the skill, add AgentPatch to ~/.openclaw/openclaw.json:

{
  "mcp": {
    "servers": {
      "agentpatch": {
        "transport": "streamable-http",
        "url": "https://agentpatch.ai/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_KEY"
        }
      }
    }
  }
}

Replace YOUR_API_KEY with your actual key from the AgentPatch dashboard. Restart OpenClaw and it discovers all AgentPatch tools automatically.

Wrapping Up

A monitoring agent replaces the daily habit of manually scanning multiple sources. You define the topics once. The agent searches, filters, ranks, and delivers. The result is a focused digest that saves 30+ minutes per day and catches things you’d miss during manual scanning. Visit agentpatch.ai to connect the tools and build your monitoring workflow.

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