Hanging Context
Source context panel

bonhams-stories 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: 2026-05-15 / JSON twin: /data/sources/bonhams-stories.json

Activity 24h
0
aggregate signals
Activity 7d
101
aggregate signals
Activity 30d
366
aggregate signals
State
Active
quiet / active / surging
Source Channels
1
configured or observed
Streams
1
capped public panel

Top related topics and entities

Bonhams (organization) 22
New York (place) 20
London (place) 16
Hong Kong (place) 12
Gabrielle Renard (person) 8
Giorgio Morandi (person) 8
Joel Meyerowitz (person) 8
Jonathan Stiers (person) 8
Vivienne Westwood (person) 6
Consumer Spending (topic) 4
Knightsbridge (place) 4
Los Angeles (place) 4

Related streams

Bonhams 10

Source-channel mix

firecrawl / 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.