I connected three platforms to my AI agents with a single API key each, then built three small workflows to test what that access is actually useful for. It let me pull a YouTube transcript into a visual map, pull SEO data without an SEO subscription, and search GitHub for new agent skills.
The practical pattern here is simple. Instead of signing up for separate SaaS subscriptions for every task your agent might run, you give it an API key to an aggregator and pay only for the calls you actually trigger.
Apify gives you per-call access to scrapers
Apify is a marketplace for APIs, and its scrapers are called Actors. It has a free tier that gives you five dollars to spend in the Apify store. The calls are cheap enough that five dollars goes a long way if you are running light tasks.
I use Apify mostly for YouTube scraping, including comment scraping. If I want to know what is inside a three-hour podcast without watching the entire recording, I can call an Apify Actor to pull the full transcript and send that text to an LLM.
One detail to watch out for in the store is the pricing model. Some Actors charge a flat minimum, such as ten dollars upfront for a bundle of calls. Others let you pay strictly per call. When you set this up for an agent, stick to the pay-per-call Actors so you do not commit budget to tools you rarely touch.
Building a drawing from a podcast transcript
To test the Apify workflow, I put together a small tool for this presentation. The setup takes a YouTube URL, calls an Apify Actor to pull the transcript, extracts the core points, and turns them into a visual drawing.
I ran a podcast episode through it. The tool called the Actor, retrieved the transcript, identified the five main points from the discussion, and generated the drawing. The interface also lets you download the raw transcript directly.
This pattern solves a specific friction point. Instead of watching a three-hour recording or copying transcripts by hand, the agent fires one request to the Actor, gets the text back, and formats the output.
Monid avoids dedicated SEO subscriptions
The second service is Monid. It does not use a monthly subscription at all. You load credits into your account, five or ten dollars at a time, and draw down against that balance.
I loaded $20 into my Monid account two months ago, and I still have $11 left while using it with my Hermes agent. For tools you do not use daily, credit billing avoids paying every month for software that sits idle.
Inside Monid, you get access to thousands of tools through that single key. That includes news scraping, access to Apify Actors directly inside Monid, and an Ahrefs integration. An Ahrefs plan can cost $100 or $120 a month, or $27 on their starter tier. If you only need to run occasional checks on a few keywords or inspect a domain, paying a full monthly subscription makes little sense.
Giving that single Monid key to an agent lets it access all those underlying endpoints. It works across different environments, including Codex, Claude Code, OpenClaw, or a Hermes agent.
Checking domain traffic and keyword ideas
To test Monid, I ran an audit against Bolt.new. The tool called the Monid API, which routed into the Ahrefs endpoints and returned a report.
The output showed the top pages ranked by traffic, with the homepage taking the largest share, alongside organic keyword volumes. One detail to keep in mind with the Ahrefs tool on Monid is that it charges per result returned, so you need to account for result counts when querying larger data sets.
I also tested the keyword exploration feature. I entered “AI agent” as the root phrase, and the endpoint returned related suggestions, including ideas around AI agent orchestration. The integration setup is straightforward: Monid provides an instruction file you hand directly to your agent so it knows how to call the endpoints.
SocialCrawl finds agent skills on GitHub
The third service is SocialCrawl. Like Monid, it uses one API key to grant access across several platforms, with an emphasis on social media and e-commerce data sources.
I originally started using SocialCrawl because I wanted a clean way to search Reddit for topics and ideas. While preparing the examples for this video, I decided to test its GitHub integration instead.
I built a simple skill scout interface. I entered a query for UI and UX skills, and the agent queried the SocialCrawl API to find relevant GitHub repositories. The response returned specific skills along with metrics like stars per day, so you can see which repositories are gaining traction.
What to copy, even if you do not use these exact tools
- Connect aggregators instead of single-purpose tools. Giving your agent one API key that routes to thousands of tools saves you from managing credentials and billing for separate accounts.
- Check the pricing model before running an Actor. On marketplaces like Apify, pick tools that charge per individual call rather than those with minimum upfront spends.
- Watch per-result costs on data queries. When pulling data from sources like Ahrefs through a middle layer, the cost scales with the volume of returned rows.
- Use credit-based accounts for intermittent tasks. If you only inspect domains or pull transcripts a few times a week, running on a pre-loaded balance prevents subscription waste.
Tools mentioned
- Apify: https://apify.com/
- Monid: https://monid.ai/
- Monid skill: https://monid.ai/SKILL.md
- SocialCrawl: https://www.socialcrawl.dev/
Video chapters
- 00:00 Give your agent access to thousands of tools
- 00:39 Apify and its Actor marketplace
- 01:44 Turn a YouTube video into a drawing
- 03:21 Monid and Ahrefs without an Ahrefs subscription
- 05:19 Check a website and explore keywords
- 07:19 SocialCrawl and its data sources
- 08:04 Find agent skills on GitHub
- 08:55 Which tools should you connect?