Catch a rising topic, find the B2B founders posting about it on LinkedIn and X, then surface their contact channel.
https://apidirect.io/mcp?token=YOUR_API_KEY
Use the trend-to-founder-to-inbox skill: Find what's trending around {topic}, the founders posting about it, and how I can reach them.
trend-to-founder-to-inbox) makes your agent run this exact playbook instead of improvising its own searches.
In clients that support MCP prompts (Claude Desktop, Claude Code, Cursor) it also appears as a prompt named
trend-to-founder-to-inbox, and any agent can call
get_skill(skill_id="trend-to-founder-to-inbox") directly.
A six-step chain across X, LinkedIn and the web: spot what's trending, find the founders riding it on LinkedIn and/or X (your choice), qualify them, dedupe, and resolve how to reach them — signal to inbox in one flow.
Who it's for: BD, partnerships, investors and founder-led sales.
| Input | Required | Description | Example |
|---|---|---|---|
topic |
Yes | The theme/space you care about. | AI voice agents |
platforms |
No | Comma-separated list of platforms to run — options: twitter, linkedin, web. Omit to run all of them; name specific platforms to limit the run. | linkedin, twitter |
region_woeid |
No | WOEID for the X trends scan (1 = worldwide). | 1 |
founder_sort |
No | Sort order for the LinkedIn founder search: most_recent (freshest riders) or relevance. Maps to search_linkedin sort_by. Default most_recent. | most_recent |
depth |
No | How many result pages to pull from the X and web searches — higher casts a wider net. Maps to the pages param. Default 2. | 2 |
twitter_trends(woeid={region_woeid})
Pull live X trends; pick the ones adjacent to {topic}. Optional opener — skip if the topic is already clearly hot.
search_twitter(query="{topic}", get_sentiment=true, sort_by=relevance, pages=2)
Confirm the topic is active and commerce-shaped; note the loudest voices — often founders themselves.
search_linkedin(author_title="Founder", query="{topic}", sort_by=most_recent)
Only run if {platforms} includes linkedin: find founders posting about the topic. Collect author_url for each.
linkedin_person_posts(url=<author_url>)
Only run if {platforms} includes linkedin: qualify each LinkedIn founder's relevance and cadence.
search_twitter_users(query="{topic}", pages=2)
Only run if {platforms} includes twitter: find founders/builders on X whose bios match the topic; capture name + company from each profile.
search_web(query="\"<founder name>\" <company> email", pages=2)
Resolve a contact channel for every founder gathered in steps 3-5 — first dedupe by name+company so the same founder found on both LinkedIn and X is only looked up once. For founders with a storefront, use place_details emails_and_contacts instead.
This is exactly what the MCP returns to your agent (via the trend-to-founder-to-inbox prompt or get_skill tool), with your inputs filled in.
SKILL: Trend-to-Founder-to-Inbox
A six-step chain across X, LinkedIn and the web: spot what's trending, find the founders riding it on LinkedIn and/or X (your choice), qualify them, dedupe, and resolve how to reach them — signal to inbox in one flow.
You are running this skill on API Direct via its MCP tools. Execute the steps below yourself by calling the named tools in order — values in <angle brackets> come from a previous step. Then deliver the result described at the end.
INPUTS:
- topic (required): <topic — ASK THE USER>
The theme/space you care about.
- platforms (optional): (optional — e.g. linkedin, twitter)
Comma-separated list of platforms to run — options: twitter, linkedin, web. Omit to run all of them; name specific platforms to limit the run.
- region_woeid (optional): (optional — e.g. 1)
WOEID for the X trends scan (1 = worldwide).
- founder_sort (optional): most_recent (default — override if you like)
Sort order for the LinkedIn founder search: most_recent (freshest riders) or relevance. Maps to search_linkedin sort_by. Default most_recent.
- depth (optional): 2 (default — override if you like)
How many result pages to pull from the X and web searches — higher casts a wider net. Maps to the pages param. Default 2.
PLATFORM SELECTION: some steps are gated with "Only run if {platforms} includes X". If the user supplied a `platforms` value, run only the steps whose platform is listed. If the user did NOT supply `platforms`, run ALL steps — every platform the skill supports.
STEPS:
1. Tool `twitter_trends` — twitter_trends(woeid={region_woeid})
Pull live X trends; pick the ones adjacent to {topic}. Optional opener — skip if the topic is already clearly hot.
2. Tool `search_twitter` — search_twitter(query="{topic}", get_sentiment=true, sort_by=relevance, pages=2)
Confirm the topic is active and commerce-shaped; note the loudest voices — often founders themselves.
3. Tool `search_linkedin` — search_linkedin(author_title="Founder", query="{topic}", sort_by=most_recent)
Only run if {platforms} includes linkedin: find founders posting about the topic. Collect author_url for each.
4. Tool `linkedin_person_posts` — linkedin_person_posts(url=<author_url>)
Only run if {platforms} includes linkedin: qualify each LinkedIn founder's relevance and cadence.
5. Tool `search_twitter_users` — search_twitter_users(query="{topic}", pages=2)
Only run if {platforms} includes twitter: find founders/builders on X whose bios match the topic; capture name + company from each profile.
6. Tool `search_web` — search_web(query="\"<founder name>\" <company> email", pages=2)
Resolve a contact channel for every founder gathered in steps 3-5 — first dedupe by name+company so the same founder found on both LinkedIn and X is only looked up once. For founders with a storefront, use place_details emails_and_contacts instead.
DELIVER: A deduped, ready-to-action list: trend → founders riding it (from LinkedIn and/or X) → qualification notes → a way to reach each.
Note: each underlying tool call is billed at its normal endpoint price; get_sentiment adds a small per-page surcharge. Page through results as needed but stop once you have enough to deliver the outcome.
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