InfoVetted Glean

InfoVetted + Glean Integrations

Put InfoVetted + Glean to work with AI and enterprise-grade automation

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Learn more about InfoVetted integrations or talk to a human

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See the kind of workflows teams build with InfoVetted and Glean below — describe the exact one you want above and the Agent builds it on demand.

InfoVetted + Glean When a vetting request or contact update happens in InfoVetted, index the record in Glean.

Browse the full workflow library →

Looking to achieve something else with InfoVetted and Glean?

Just describe what you need — the Agent researches both APIs and builds the real automation on demand.

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Triggers & actions for InfoVetted and Glean

Everything InfoVetted and Glean can do inside a workflow — the triggers that start one and the actions that run when it fires.

InfoVetted Explore InfoVetted →

InfoVetted is an employment screening platform that performs candidate background checks and identity verification.

Actions
Assign Contact to Group

Assigns a contact to a group

Cancel an Existing Vetting Request

Cancel an existing vetting request

Create Contact

Creates a contact in the system

Create Contact Group

Create a contact group

Create Contact Vetting Request

Create a contact vetting request

Remove Contact From Group

Removes a contact from a group

Glean Explore Glean →

An enterprise search platform that connects company data sources to deliver personalized information and insights.

Triggers
New Search Result

Monitor new document and snippet results from Glean for a given query.

Actions
Run Agent and Wait

Execute a Glean Agent run and wait for the response.

Chat Message/Conversation

Send a chat message to Glean, optionally storing messages for continuous conversation.

Delete Document from Index

Deletes a document from the Glean search index.

Index Documents

Indexes or updates multiple documents in Glean. Uses incremental indexing, so these docs will be added or updated in the index.

Report Client Activity

Report events that happen to results within a Glean client UI, such as search result views and clicks. This signal improves search quality on Glean.

Report Document Activity

Report user activity that occurs on indexed documents such as viewing or editing. This signal improves search quality in Glean.

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Customer Stories

See how leading technology firms are scaling their operations

Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
H
Huynh H
Developer, Multiplier
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
J
Jayesh
Co-Founder, Scrut
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
P
Poorvi
Product Manager, Onsurity
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
A
Aditya
Product Lead, RazorpayXPayroll
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
R
Rohit Singh
GM, Payoneer Workforce Management

#1 in Ease of Integrations

4.9 out of 5 stars

4.9 out of 5 stars on G2

G2 Leader, Spring 2026G2 Fastest Implementation, Spring 2026G2 High Performer, Spring 2026G2 Best Est. ROI, Spring 2026
FAQ

Common questions about InfoVetted + Glean

Is there a pre-built InfoVetted + Glean automation?

Not yet, but Knit's Integrations Agent can build one — describe what you want and it researches InfoVetted and Glean's public API docs (or your own uploaded docs) and builds a working automation.

Does this require a pre-built InfoVetted or Glean connector?

No. The Agent works whether or not InfoVetted or Glean already has a pre-built connector in Knit's catalog — it researches the real API surface either way.

How long does it take to build?

Minutes to build a first working version, not weeks — you test it against real data before it goes anywhere near production.

Put Integrations on Autopilot. Talk to Experts.

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