Scholarly & trials · Seeded catalog
Seeded catalog
Scholarly & trials

Wikipedia
on the federated graph.

Entity context articles on Gyri's public-data graph — install the federation pack and multihop with Scholarly & trials and your native integrations.

Entity context articles

Start free trial Domain hub
Federation path

Wikipedia on
the live graph.

Wikipedia
Gyri graph
Workspace stack
GLEIF
Wikidata
SAM.gov
Why federation

Public data belongs
on your graph.

01

Isolated CSV exports

Wikipedia alone cannot join CRM deals, Slack threads, and institutional insights — operators rebuild context manually.

02

No cited multihop

Keyword search in one catalog misses typed joins across trials, filings, entities, and your workspace graph.

03

Agents start from zero

Without federation packs, MCP agents cannot traverse public graph types alongside native connectors in one session.

Use cases

Cited multihop
on your graph.

Multihop query

Join Wikipedia with peer public datasets and CRM/comms connectors in one cited federated answer.

Agent context

MCP agents traverse live Wikipedia graph types alongside workspace insights — not a one-off CSV export.

Cross-federation

Multihop with
peer datasets.

GLEIF Crosswalk Wikidata Crosswalk SAM.gov Live API GitHub Live API npm Live API OpenCorporates Live API Corporate domain Bio KG domain

Install federation packs in Settings, then query Wikipedia alongside native CRM and comms connectors.

Native stack

Join with
your connectors.

Slack
Notion

Install Wikipedia on Gyri.

Federation pack + cited multihop with your workspace stack.

Start free trial All public data