> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pubrio.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Expansion Signals: A Worked Example
> Follow one company from a market view down to the individual signals, using the Expansion API end to end.
This walkthrough follows a single question — *"Which companies are expanding into the United Kingdom right now, and why?"* — from the market dashboard down to the individual signals behind one company's move. Every request and response below uses the live Expansion API shapes.
## The scenario
You sell to companies setting up operations in the **United Kingdom**. You want the freshest inbound movers, then you want to understand *why* one of them is expanding so you can time your outreach.
## Step 1 — Find fresh inbound movers into the UK
Set `tos: ["GB"]` to find every company expanding **into** the UK, plus a freshness filter so you only see companies actively arriving.
```bash theme={null}
POST /expansions/lookup
{
"tos": ["GB"],
"freshness": ["fresh", "cooling"],
"page": 1,
"per_page": 25
}
```
The response summarizes the market and lists the companies expanding into it:
```json theme={null}
{
"metadata": {
"filters": { "tos": ["GB"], "freshness": ["fresh", "cooling"] },
"aggregate": { "total_companies_with_signals": 64, "committing_count": 22, "expanding_count": 15 },
"top_origins": [{ "home_country_code": "CN", "company_count": 18 }],
"top_industries": [{ "industry": "Consumer Electronics", "count": 9 }]
},
"data": {
"pagination": { "page": 1, "per_page": 25, "total_entries": 64, "total_pages": 3 },
"companies": [
{
"expansion_id": "6845525",
"domain_search_id": "550e8400-e29b-41d4-a716-446655440002",
"company_name": "Example Corp",
"domain": "example.com",
"home_country_code": "CN",
"country_code": "GB",
"industry": "Consumer Electronics",
"stage": { "slug": "expanding", "expansion_score": 0.72, "scope": "entering_new_market", "direction": "advancing", "freshness": "fresh", "signal_count": 7 }
}
]
}
}
```
Sort by `expansion_score` to put the most decisive movers first. Here, a China-based company (`home_country_code: "CN"`) is at the **Expanding** stage (`expanding`) in GB with an **advancing** trajectory — a strong, fresh inbound move.
## Step 2 — See the company's full market map
Take the `domain_search_id` and list every market that company is expanding into.
```bash theme={null}
POST /expansions/companies/lookup
{ "domain_search_id": "550e8400-e29b-41d4-a716-446655440002", "is_all_markets": true }
```
```json theme={null}
{
"metadata": { "domain_search_id": "550e8400-e29b-41d4-a716-446655440002", "home_country_code": "US" },
"data": { "market_count": 2, "dominant_stage_slug": "expanding", "total_signal_count": 194 },
"markets_summary": [
{ "country_code": "GB", "stage_slug": "expanding", "is_home_market": false, "signal_count": 140, "distinct_type_count": 6, "latest_signal_at": "2026-07-08T02:42:23.544Z", "rank_now": 1 },
{ "country_code": "DE", "stage_slug": "committing", "is_home_market": false, "signal_count": 54, "distinct_type_count": 3, "latest_signal_at": "2026-06-20T00:00:00.000Z", "rank_now": 2 }
]
}
```
The company is expanding into the UK and committing resources in Germany — useful context for prioritizing the right region.
## Step 3 — Understand the UK move in depth
Drill into the company-and-market detail to see the current stage, the underlying signals, known presence, and the transition timeline.
```bash theme={null}
POST /expansions/companies/lookup
{ "domain_search_id": "550e8400-e29b-41d4-a716-446655440002", "country_code": "GB" }
```
```json theme={null}
{
"metadata": { "domain_search_id": "550e8400-e29b-41d4-a716-446655440002", "country_code": "GB" },
"data": {
"domain_search_id": "550e8400-e29b-41d4-a716-446655440002",
"country_code": "GB",
"country_name": "United Kingdom",
"stage_rank": 3,
"stage_name": "Expanding",
"stage": { "slug": "expanding", "expansion_score": 0.72, "scope": "entering_new_market", "direction": "advancing", "freshness": "fresh", "signal_count": 27 }
},
"signals": [
{
"signal_type_slug": "EXEC",
"display_label": "Hired Regional VP for UK & Ireland",
"polarity": "expansion",
"event_date": "2026-06-20T14:00:00.000Z"
}
],
"presence": [
{ "presence_type": "office", "address": "London, UK", "known_since": "2026-03-15T00:00:00.000Z" }
]
}
```
The Expanding stage is backed by a senior UK hire and a London office — concrete evidence, not a guess.
## Step 4 — Read the individual events
For the full, paginated list of events driving the move, call the signal-event endpoint with the signal types you care about.
```bash theme={null}
POST /expansions/companies/pulse_events
{
"domain_search_id": "550e8400-e29b-41d4-a716-446655440002",
"signal_types": ["HIRE", "EXEC"],
"window_days": 90,
"page": 1
}
```
```json theme={null}
{
"metadata": { "domain_search_id": "550e8400-e29b-41d4-a716-446655440002" },
"data": {
"pagination": { "page": 1, "per_page": 25, "total_entries": 42, "total_pages": 2, "total_display_pages": 2, "is_timeout": false },
"events": [
{
"signal_type_slug": "EXEC",
"country_code": "GB",
"display_label": "Hired Regional VP for UK & Ireland",
"evidence_url": "https://www.linkedin.com/company/example-corp",
"event_date": "2026-06-20T14:00:00.000Z"
}
]
}
}
```
Use `total_pages` to drive a "load more" control by incrementing `page` until it reaches `total_pages`.
## What you just did
You went from *a market* → *a ranked list of movers* → *one company's full footprint* → *the exact signals behind its UK expansion*. That is the core loop of the Expansion API: start broad, narrow to a company, then read the evidence.
Authentication, pagination, and your first calls.
The full catalog of values used above.