What the reviews say
A software engineer intern reported a good culture where the company values employee learning and development.
What the reviews say
A software engineer intern reported a good culture where the company values employee learning and development.
What this signalsEmployee reviews often show internal change before it is announced.
Roles mentioned
glassdoor-companyglassdoorHighCulturePraiseGet every Glassdoor signal for Mercury and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Mercury this week?”
The Signal API returns Glassdoor signals for any list of companies as JSON, for your CRM, warehouse or app.
Sign up and spend your free credits on the companies you sell to.
This page shows a preview. The full glassdoor-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/9d5112a0-29d3-4ed3-95a9-6b84ab59b981 returns this record as JSON. POST /v1/companies/enrich returns every signal for mercury.com.
{
"signal_id": "9d5112a0-29d3-4ed3-95a9-6b84ab59b981",
"signal_type": "glassdoor-company",
"signal_subtype": "glassdoorHighCulturePraise",
"detected_at": "2026-07-14T06:04:03.567+00:00",
"company": {
"name": "Mercury",
"domain": "mercury.com"
},
"data": {
"detail": "A software engineer intern reported a good culture where the company values employee learning and development.",
"summary": "Reviewer praises positive company culture and focus on employee learning",
"relevance": 0.6,
"sentiment": "positive",
"confidence": "low",
"job_titles": [
"Software Engineer Intern"
],
"glassdoor_id": 3583070,
"glassdoor_url": "https://www.glassdoor.com/Overview/Working-at-Mercury-EI_IE3583070.11,18.htm",
"total_reviews": 10,
"review_date_newest": "2026-06-17T17:13:51.303Z",
"review_date_oldest": "2026-06-17T17:13:51.303Z",
"recent_reviews_count": 1,
"overallCompanyRatings": {
"culture_rating": 3.8,
"overall_rating": 4.1,
"business_outlook": 0.75,
"management_rating": 3.6,
"compensation_rating": 4.4,
"recommend_to_friend": 0.69,
"work_life_balance_rating": 3.8,
"career_opportunities_rating": 3.8
}
}
}
curl https://signals.autobound.ai/v1/signals/9d5112a0-29d3-4ed3-95a9-6b84ab59b981 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"mercury.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.