Research

Competitive Intelligence Agent

Competitive Intelligence AgentRun
Trigger
Comp_Intel
Skill
monitor-competitors.md
Model
Claude Opus 4.5

Overview

The Competitive Intelligence Agent monitors competitor websites, pricing pages, product announcements, and review platforms on a configurable schedule. When it detects a meaningful change — a new feature, a pricing update, a positioning shift, or a significant pattern in customer reviews — it summarizes what changed and delivers a strategic implications brief to the relevant stakeholders.

Instead of manually checking competitor sites or waiting for a sales rep to flag a change, your team gets structured, actionable intelligence delivered on a schedule you control.

How to deploy

Copy-paste this prompt into Warp:

Clone https://github.com/warpdotdev/competitive-intelligence-agent-oss.git
if it isn't already cloned locally, cd into it, then run the setup skill at
.warp/skills/setup/SKILL.md to set this agent up.

The agent clones the repo (or reuses an existing clone), installs dependencies, walks you through credentials for only the integrations you want, and replaces the codebase placeholders with your values.

Or set it up manually — requirements are Python 3.11+, Warp, and the GitHub CLI (gh):

git clone https://github.com/warpdotdev/competitive-intelligence-agent-oss.git
cd competitive-intelligence-agent-oss
pip3 install -r requirements.txt
cp .env.example .env
gh auth login
python3 generate_readonly_token.py

The last step generates a read-only Google OAuth token for Docs, Gmail, Drive, and BigQuery access. It needs a credentials.json from your Google Cloud project and writes token.json — for cloud runs, set GOOGLE_OAUTH_TOKEN to the contents of that file.

Configure the list of competitors and the signal sources to monitor: product pages, changelog sites, G2 and Capterra review patterns, job postings as a proxy for R&D direction, and public pricing pages.

Set a monitoring cadence and delivery format — weekly digest, immediate Slack alert for high-confidence signals, or a structured report pushed to a Notion database. Each signal includes a confidence score and a suggested response category (pricing response, feature gap, messaging update, or monitor-and-wait).

Integrations

Exa web search for real-time monitoring of product and pricing pages, G2 and Capterra for review pattern analysis, Slack for alert delivery to product and sales teams.

Notion or Confluence for structured competitive intelligence report storage, Linear or Jira for roadmap-impact ticket creation when a signal warrants a product response.