Cross-Platform Power Plays

City Market-Entry Scan

Get a 360-degree read on one city before you expand — local chatter, trending hooks, competitor density, and hiring momentum in a single scan

What it does

Expanding into a new metro is guesswork until you layer four independent lenses: what locals post on Facebook, what's trending on Twitter, how saturated the map is with competitors, and whether rivals are staffing up there. Each lens resolves a different unknown.

Who it's for: Operators and franchise or expansion teams evaluating a new city

Inputs

How your agent runs it

1. 1
   search_facebook_locations

   search_facebook_locations(query="{city}")

   Resolve the city to a numeric location_id so the Facebook post search is geo-scoped to that metro.

2. 2
   search_facebook_posts

   search_facebook_posts(query="{niche}", location_id=<location_id>, get_sentiment=true)

   Read how locals actually talk about this category in-market — demand, complaints, and gaps surfaced by real residents.

3. 3
   twitter_trends

   twitter_trends(woeid={woeid})

   Pull what's trending in the metro right now to spot local events, sentiment, and hooks to localize the launch.

4. 4
   search_places

   search_places(query="{niche} {city}", zoom=12, pages=10)

   Map competitor density and ratings to judge saturation and find under-served pockets of the city.

5. 5
   search_linkedin_jobs

   search_linkedin_jobs(query="{niche} {city}", sort_by=most_recent, posted_ago=30d)

   Gauge whether rivals are staffing up locally; active job posts signal a growing, competitive market and reveal pay benchmarks.

Tools used

The full playbook

This is exactly what the MCP returns to your agent (via the city-market-entry-scan prompt or get_skill tool), with your inputs filled in.

SKILL: City Market-Entry Scan
Expanding into a new metro is guesswork until you layer four independent lenses: what locals post on Facebook, what's trending on Twitter, how saturated the map is with competitors, and whether rivals are staffing up there. Each lens resolves a different unknown.

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:
  - niche (required): <niche — ASK THE USER>
  - city (required): <city — ASK THE USER>
  - woeid (required): <woeid — ASK THE USER>

STEPS:
  1. Tool `search_facebook_locations` — search_facebook_locations(query="<city>")
     Resolve the city to a numeric location_id so the Facebook post search is geo-scoped to that metro.
  2. Tool `search_facebook_posts` — search_facebook_posts(query="<niche>", location_id=<location_id>, get_sentiment=true)
     Read how locals actually talk about this category in-market — demand, complaints, and gaps surfaced by real residents.
  3. Tool `twitter_trends` — twitter_trends(woeid=<woeid>)
     Pull what's trending in the metro right now to spot local events, sentiment, and hooks to localize the launch.
  4. Tool `search_places` — search_places(query="<niche> <city>", zoom=12, pages=10)
     Map competitor density and ratings to judge saturation and find under-served pockets of the city.
  5. Tool `search_linkedin_jobs` — search_linkedin_jobs(query="<niche> <city>", sort_by=most_recent, posted_ago=30d)
     Gauge whether rivals are staffing up locally; active job posts signal a growing, competitive market and reveal pay benchmarks.

DELIVER: A four-lens market-entry brief for the city — local demand sentiment, trending hooks, competitor saturation, and hiring momentum — capped with a go / no-go recommendation.

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.