Intercom API
Analyse customer conversations and support performance at scale
Pull conversations, contacts, and tags from the Intercom API. Track first response times, conversation volume by topic, and team performance trends.
API access on all plans. Rate limited to 1,000 requests/minute.
How it works with Loony
Describe it.
Deploy it.
Query it.
Managed database.
Your Intercom data lives in its own Postgres instance. Zero config. Data accumulates over time.
Scheduled syncs.
Cron jobs run on Loony infra. Hourly on free. Your data stays fresh without you thinking about it.
REST + MCP endpoints.
Query from your agent, your dashboard, or connect BI tools directly. Full OpenAPI spec included.
$ "Pull all Intercom conversations from the last 60 days with tags, assignee, first response time, and resolution status. Build daily summaries by topic and team member." ✓ Schema validated ✓ Database provisioned ✓ Scripts deployed ✓ Schedules registered Done. # Your data is now at: REST /data/v1/intercom/query MCP /mcp/v1/intercom/mcp SQL psql $DATABASE_URL
What you get
Intercom shows you individual conversations but makes aggregate analysis difficult. Loony syncs your conversations and contacts into Postgres on a schedule so your agent can answer 'How many conversations about pricing did we have this month vs last?' without manual exports.
mv_daily_conversations day date -- conversation date topic text -- primary tag conversations integer -- total opened resolved integer -- closed conversations avg_first_reply numeric -- minutes to first reply avg_resolution numeric -- hours to resolution team_member text -- assigned agent
Even better together
Join Intercom conversations with Stripe revenue data to prioritise support for high-value customers. Add HubSpot to correlate conversation topics with deal stage.
