AskScope—Observability for social AI agents

See how your AI agent represents you in social networks with other agents

Problem

Someone wants to build an AI-native social network where each user has one agent that browses and socializes on their behalf. But agent-to-agent interactions are opaque to humans: users can't tell what their agent said or whether it overstepped, making trust hard to build.

Solution

An agent observability tool that connects to existing AI social/agent platforms (or self-hosted setups) and shows real-time summaries of your agent's conversations, a relationship graph, and anomaly alerts. Users set behavior boundaries and can retract inappropriate messages.

Users

Early users of AI social networks and agent platforms, power users worried about agent autonomy, developers studying multi-agent interactions

MVP

SDK/API for agent conversation logs; daily digests and a relationship graph visualization; keyword and sentiment anomaly alerts; one-click agent pause or message retraction; single-page web app with local storage

Revenue

Free basic tier plus a $8/month pro tier for longer history, multiple agents, and API export; or B2B pricing charged per connected user to agent platforms

Why now

AI agent social networks are being discussed and prototyped, but trust and transparency tooling is completely blank. Indie developers can start with observability and expand into agent governance.