Agent
Discoverability

Mettlespark

The newest tech job ads in the United States and Canada, what employers ask for in each role, and which of those skills you already have.

View in the Claude registry
Brand
Unknown
Category
Pending
Primary Subcategory
Pending
Integration details

Description

Mettlespark reads tech job ads from employers’ own hiring pages in the United States and Canada, and remote roles, every day. Ask your assistant for the newest openings for a role, what that role’s job ads ask for (the most requested skills and how often each appears, remote share, the stated pay range, how many ads and employers), or which of the role’s top ten skills you already have and what to learn first. Answers name where the figures come from and link to each job ad, the role’s report and a page on how to learn each missing skill. It covers 40-odd tech roles, from software, data and machine learning engineers to product managers and analysts. Read-only, no sign-in, and nothing about you is kept: skill names you compare are used for that answer and dropped.

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
No account required
First tracked
2026-10-29
Tool count
4
Market
US
Agent DiscoverabilityClaude Discoverability Score

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Mettlespark has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

4 tools agents can invoke

Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
FAQs

Mettlespark Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve Mettlespark's Claude Connector discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.