AgentShelfAgentShelf, Inc.
|
||||||
Related Products
|
||||||
About
AgentShelf Platform is a no-code environment for building, deploying, and governing focused AI agents for business workflows. Teams can give each agent approved context, tools, model access, permissions, and a dedicated workspace, then deploy experiences to websites, internal workspaces, products, or external applications. The platform includes reusable agent patterns, widgets, SDKs and APIs, usage and cost visibility, budget policies, activity traces, and public/private access boundaries. It supports use cases such as website visitor qualification, customer support triage, CRM follow-up, research, knowledge retrieval, and recurring reporting.
|
About
Questera is an agentic customer engagement platform that enables growth and lifecycle teams to define strategies and execute them faster than ever. Users can create custom AI agents or utilize pre-configured ones for effortless personalization, auto-segmentation, journey automation, hands-free campaign execution, and reporting, allowing for limitless scalability. It offers a simple four-step process to create AI agents: define the agent by entering key details such as name and image; add core instructions specifying goals, rules, and parameters; choose abilities like email automation, segmentation, and retargeting from over 75 integrations; and finally, test and deploy the agent with real-time feedback. Alternatively, users can get started quickly by employing Questera's preconfigured agents, such as Sara, the smart ads retargeting agent, who crafts personalized ads to re-engage visitors and launch impactful retargeting campaigns.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Business operators, internal teams, founders, agencies, and developers building governed AI agents for customer-facing or internal workflows.
|
Audience
Businesses interested in a solution to automate growth and retention without requiring an expensive in-house data science team
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
$100/month
AgentShelf Starter is entered through AI Front Desk: $100/month or $960/year for one website, with a 15-day trial. Broader enterprise and builder-platform pricing is not published and may require a walkthrough.
Free Version
Not Supported
Free Trial
Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
|
|||||
Company InformationAgentShelf, Inc.
Founded: 2026
United States
agentshelf.ai/platform
|
Company InformationQuestera
Founded: 2022
United States
www.questera.ai/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Amazon S3
Not Supported
Amplitude
Not Supported
Braze
Not Supported
Google Ads
Not Supported
Google Cloud Platform
Not Supported
Looker
Not Supported
Mixpanel
Not Supported
Model Context Protocol (MCP)
Supported
Salesforce
Not Supported
Segment
Not Supported
|
Integrations
Amazon S3
Supported
Amplitude
Supported
Braze
Supported
Google Ads
Supported
Google Cloud Platform
Supported
Looker
Supported
Mixpanel
Supported
Model Context Protocol (MCP)
Not Supported
Salesforce
Supported
Segment
Supported
|
|||||
|
|
|