Use case
Build a Competitive Intelligence Agent
Monitor competitor websites, pricing pages, and job boards, then surface structured change summaries on a schedule.
Competitive intelligence usually means someone manually checking five websites every Friday. An agent does this on a schedule: it fetches competitor pages, diffs the content against a stored baseline, and writes a structured summary of what changed. Product managers use these digests to catch pricing changes before a sales call. Founders use them to see what features a competitor just shipped. The value is in the consistency, not the sophistication.
The stack
Each pick is a real entry on the index. Click any one for the full detail page.
- 1M MCP Page Fetcher
Playwright MCP
by Microsoft
Why this: Playwright MCP handles JavaScript-rendered pages that a plain HTTP fetch would miss. Competitor pricing pages and changelog pages are often React apps. Playwright loads them fully and returns the visible text the agent needs to diff.
Full entry - 2M MCP News Monitor
Brave Search MCP
by Brave (reference implementation)
Why this: Brave Search MCP pulls recent news mentions and press releases for a competitor by name. This catches announcements that do not appear on the competitor's own website, such as funding rounds, partnerships, and executive changes.
Full entry - 3M MCP Baseline Store
Postgres MCP Server
by Model Context Protocol (reference)
Why this: Each page snapshot is stored in Postgres with a timestamp and content hash. The agent queries the previous snapshot on each run, computes what changed, and only generates a summary if the diff exceeds a meaningful threshold. This prevents alert fatigue from minor CSS updates.
Full entry - 4A Agents Orchestrator
Claude Code
by Anthropic
Why this: Claude Code runs the weekly fetch-diff-summarize loop as a scheduled script. It handles the logic for which competitors to check, which pages on each competitor to watch, and how to format the output digest for delivery.
Full entry - 5M MCP Digest Delivery
Notion MCP Server
by Notion
Why this: Notion MCP writes each weekly digest into a shared database page. The team sees a rolling feed of competitor changes with dates, source URLs, and a plain-text summary of what shifted. No email required.
Full entry
Get this running with Enterprise DNA.
Enterprise DNA tracks each competitor as a named project in OPM, with a work item per weekly run showing which pages were checked and whether anything material changed. The scheduled tick in the EDNA swarm runtime triggers the agent on the right cadence without manual intervention. Secrets for Postgres and any authenticated competitor portals live in the EDNA secrets store.
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Alternative stacks
Different angles on the same outcome.
Research Agent
If you need deeper one-off research on a competitor rather than ongoing monitoring, a general research agent handles ad-hoc investigations with more source diversity.
See the alternative AlternativeMulti-Agent Research Team
For monitoring a large competitor set in parallel rather than sequentially, a multi-agent research team fans out the fetch jobs and merges the results.
See the alternativeOther use cases
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