Connect the systems support already depends on.

Pagerox combines chat delivery, engineering context, knowledge sources, and data access in one connection model so teams can answer with better context without opening every agent to everything.

Connection model

One organization connection can power multiple narrow agents.

Pagerox connects systems at the organization level first. From there, teams bind only the channels, repos, docs, or schema surfaces each agent should use, which makes the whole model easier to reason about.

Slack and GitHub can be connected once and reused.
Supabase follows a custom auth path for direct project access.
The AI layer already understands capability groupings like chat search, repo search, knowledge search, and db read/schema.

Categories

The integration story is broader than chat.

Pagerox is most valuable when it can connect the communication surface where support happens with the systems that explain what is actually going on.

Meet support where work already arrives.

Pagerox supports delivery across Slack, Microsoft Teams, Discord, Telegram, GitHub, and Linear through the chat-platform layer and webhook model already in the product.

Slack uses direct bot tokens or OAuth credentials
Teams, Discord, Telegram, GitHub, and Linear each have their own setup paths
Discord can also require a Gateway listener for message events

Slack

Teams

Discord

Telegram

Operational surfaces

Pagerox also reaches beyond product responses.

The codebase already includes public API keys, outbound signed webhooks, usage tracking, and chat-platform setup visibility, which makes the integration story useful for operations as well as support.

API access

Pagerox includes API-key infrastructure with `lum_`-prefixed keys and product-side management surfaces for teams that need programmatic access.

Signed webhooks

Outbound webhook events are signed with HMAC so downstream systems can verify delivery and trust what they receive.

Platform visibility

The product exposes which chat-platform environments are configured and which ones still need setup, making rollout easier to audit.

FAQ

Questions about what can connect and how access works.

The most important thing for most teams is not just which integrations exist, but how Pagerox keeps those connections structured and narrow.

What makes Pagerox different from a generic support bot?

Pagerox is organized around scoped agents, shared organization integrations, grounded knowledge retrieval, reviewed learnings, and operational analytics. The product is built for support operations, not just conversational output.

Can teams start with one narrow rollout first?

Yes. The platform is a strong fit for starting with one support lane, one agent, and one clear set of sources and channels before expanding to more surfaces.

How do learnings work?

Pagerox can turn resolved conversations into candidate facts, corrections, preferences, patterns, and escalations. Teams can review those learnings and decide what should stay active.

What kinds of systems can Pagerox connect to?

Today’s codebase already supports communication surfaces, engineering systems, knowledge sources, and Supabase-based data access, with organization-level connection ownership and agent-level bindings.

Can multiple agents share one integration connection?

Yes. The product is designed so connections live at the organization level and agents can bind to them more narrowly based on what each workflow requires.

Does Pagerox only connect to chat tools?

No. The platform spans communication surfaces, engineering systems, knowledge sources, and Supabase-based data access, which is what makes it useful for real support investigations.

Next step

Connect the systems that explain support, not just the channel where support arrives.

That is where Pagerox starts to feel more like an operating layer than a simple bot.