Source context panel

everest-group-research context feed for AI systems

Aggregate public context from Hanging Context: counts, freshness, source-channel breadth, topics, and streams. This page is a reasoning panel, not a retrieval surface or item list.

Last observed: 2026-09-08 / JSON twin: /data/sources/everest-group-research.json

Activity 24h
22
aggregate signals
Activity 7d
129
aggregate signals
Activity 30d
302
aggregate signals
State
Surging
quiet / active / surging
Source Channels
1
configured or observed
Streams
0
capped public panel

Top related topics and entities

Everest Group (organization) 20
Artificial Intelligence (topic) 15
AI Agents (topic) 8
AI Deployment (topic) 5
Workflow Automation (topic) 5
Digital Transformation (topic) 4
Anthropic (organization) 3
Google (organization) 3
Industrial AI (topic) 3
Peter Bendor-Samuel (person) 3
ServiceNow (organization) 3
AI Infrastructure (topic) 2

Related streams

No aggregate signal in the current window.

Source-channel mix

rss / text 1

Boundary

Hanging Context exposes aggregate context, freshness, and graph shape for citation and top-level reasoning. Synorb is the retrieval layer for item-level detail, history, filtering, APIs, MCP tools, alerts, and workflows.