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What you can do with Paid Media Agent

An open-source paid media agent built on Deep Agents that analyzes campaign performance across ad platforms, generates reports, and prepares campaign changes for review.

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langchain-ai/paid-media-agent on GitHub

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What do you want to do?

4 use cases

  • Generate a weekly cross-channel performance report

    Produce a weekly summary of spend, conversions, and cost per lead across connected ad accounts.

    View prompt
    Read the paid-media-agent repo and run the weekly report command with the connected accounts for <target account group>. Expected output: a weekly report file with campaign tables and data-quality flags. Verify that the spend and conversion totals match the source platform figures for the same date window.

  • Find the campaigns behind a cost-per-lead increase

    Ask plain-language questions about performance changes and get the campaigns behind them.

    View prompt
    Use the paid-media-agent repo to ask which campaigns in <target account> had the largest increase in cost per lead last week. Expected output: a ranked list of campaigns with the source, date window, and data-quality flags. Verify that each campaign's cost per lead change can be traced to the source platform data.

  • Try the offline demo before connecting accounts

    Run a scripted analysis and simulated budget change on synthetic accounts with no keys.

    View prompt
    In the paid-media-agent repo, run the offline demo with the proposal flag. Expected output: a scripted analysis and a simulated budget change against synthetic accounts. Verify that no model call or live account change occurred during the run.

  • Deploy scheduled reports to Managed Deep Agents

    Validate and deploy the agent to LangSmith with managed weekly and monthly report schedules.

    View prompt
    Deploy the paid-media-agent repo to Managed Deep Agents for the <target LangSmith organization>. Expected output: a deployed agent with a printed LangSmith URL and configured Slack. Verify that the deployment syncs the instructions and skills and that the scheduled report delivery channel is set before expecting Slack posts.

How to use Paid Media Agent

  1. Check you have what it needs: Python 3.11+ and uv installed; Git installed to clone the repo; Access to the ad platforms you use, through Pipeboard MCP or direct adapters for X Ads and OpenAI Ads.
  2. Open langchain-ai/paid-media-agent on GitHub and read the README and license.
  3. git clone https://github.com/langchain-ai/paid-media-agent.git
  4. cd paid-media-agent
  5. uv sync
  6. uv run paid-media-agent setup to choose a model and connect your ad accounts in the local console

These steps come from our top use case, Generate a weekly cross-channel performance report, which also has a copy-paste agent prompt.

Paid Media Agent alternatives · Best AI repos for Sales and marketing

About this repo

Requirements

  • Python 3.11+ and uv installed
  • Git installed to clone the repo
  • Access to the ad platforms you use, through Pipeboard MCP or direct adapters for X Ads and OpenAI Ads
  • A model key for the ask command and a chosen model for setup
  • A LangSmith organization with MDA access, an API key with deployment permissions, and a model key for managed deployment

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Questions about Paid Media Agent

What is Paid Media Agent?

An open-source paid media agent built on Deep Agents that analyzes campaign performance across ad platforms, generates reports, and prepares campaign changes for review. It is an open-source project on GitHub: https://github.com/langchain-ai/paid-media-agent.

Who is Paid Media Agent for?

Marketers, growth leads, and agencies who run paid ad accounts and want cross-channel analysis, reports, and reviewed changes in Slack or the terminal.

What can I do with Paid Media Agent?

4 use cases so far, for example: Generate a weekly cross-channel performance report; Find the campaigns behind a cost-per-lead increase; Try the offline demo before connecting accounts. Each has steps and a copy-paste agent prompt.

What do I need to run Paid Media Agent?

Python 3.11+ and uv installed; Git installed to clone the repo; Access to the ad platforms you use, through Pipeboard MCP or direct adapters for X Ads and OpenAI Ads; A model key for the ask command and a chosen model for setup.

What are alternatives to Paid Media Agent?

Other hot AI repos in Sales and marketing: Cited, Ecommerce AI Tools, Influencer Discovery, Twenty, GTM Cofounder.

Is Paid Media Agent safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.