Short answer: AgentSpot is ThoughtSpot's new workspace for “multiplayer AI”, launched on 22 October 2026. Anyone in a company can describe a job in plain English and get an agent, a recurring workflow or an app built on company data, then share it with colleagues. There is a free plan with unlimited users and agents, and usage is charged per completed outcome, not per seat or token.

By Agent Playbox Editorial · Published · Updated

AgentSpot: ThoughtSpot's multiplayer AI agent workspace

Key facts

What did ThoughtSpot launch on 22 October 2026?

On 22 October 2026 ThoughtSpot launched AgentSpot, a workspace it describes as bringing “Multiplayer AI to the enterprise” (ThoughtSpot press release, GlobeNewswire). The idea is that people and goal-based agents work side by side as a shared AI workforce: anyone can use plain language to build agents, automate workflows and create interactive business apps, then share them with colleagues.

ThoughtSpot is best known for analytics, and the launch marks a clear step towards agents that act on those answers. As analyst Mike Leone of Moor Insights & Strategy put it to TechTarget, ThoughtSpot users “have mostly come to it for answers, and now agents can take those answers and do something with them” in systems like a CRM or Slack. The AgentSpot team shared the news on X the same day (@AgentSpotxAI).

What does AgentSpot actually do?

Agents, workflows and apps from a description

AgentSpot has three building blocks (ThoughtSpot). Agents are AI teammates: you describe the job and AgentSpot assembles an agent with the right instructions, business context and tools. Workflows automate recurring work on a schedule or trigger, such as a weekly sales forecast, financial monitoring or employee onboarding. Apps are live, interactive tools built from a prompt that combine data from connected systems with agent actions.

Built for teams, not single users

The “multiplayer” part is the point. You can invite teammates into one conversation with an agent, everyone can ask their own follow-ups, and each person gets answers based on their own data access. In Slack, so-called ambient agents can follow a channel and answer the questions they can help with, without anyone tagging them (AgentSpot product page). Example jobs on the product page include briefing you on a customer before a call, watching a cash position and alerting below a threshold, drafting an incident postmortem and posting a weekly pipeline digest.

Memory that builds up over time

ThoughtSpot says memory works at four layers: company memory that gives every agent the same understanding of the business, agent memory that lets creators refine an agent for everyone, user memory for each person’s preferences, and agent-user memory so nobody has to repeat themselves (ThoughtSpot). Agents are grounded in ThoughtSpot’s semantic layer, so a term like “revenue” or “at-risk account” means what it means in your company.

How does AgentSpot keep companies in control?

Governance is built in from the start. Permissions make sure people only see data they are authorized to access, and an always-on audit trail logs every action an agent takes, so you can see what was done, when and on whose behalf (ThoughtSpot). The product page adds single sign-on, role-based access, strict isolation of each user’s sessions and memory, and SOC 2 Type II certification, and says customer data is not used to train or fine-tune any model (AgentSpot).

AgentSpot is hosted on Google Cloud in Iowa and Belgium and on Azure in Virginia and the Netherlands, according to ThoughtSpot’s documentation (ThoughtSpot docs).

How much does AgentSpot cost?

AgentSpot is priced by outcomes rather than seats or tokens. The Free plan costs USD 0, needs no card and includes 25 “Data to Outcome” (DO) credits a week. The Fleet plan for teams and enterprises costs USD 1,650 a month, billed annually, with 250 DO credits a week. Both include unlimited agents and unlimited users (AgentSpot pricing).

One DO credit is used when someone starts a new conversation with an agent, when a workflow run completes, or when an app is loaded, with free reloads within four hours. Building and testing agents, workflows and apps is free, and a run that fails costs nothing (DO credits explained). A conversation or workflow that stays active beyond 24 hours uses one more credit per extra day, and reasonable use is defined as up to 1 billion input and 50 million output tokens a month (ThoughtSpot docs).

What does AgentSpot mean for businesses?

The pitch is that good AI work should not stay with the one person who built it. ThoughtSpot’s own example: a top sales rep builds an account research agent and the whole sales team starts using it, and one analyst’s variance workflow is then run by every business unit (ThoughtSpot). CEO Ketan Karkhanis summed it up: “Your business has never been single-player. Your AI shouldn’t be either.”

For teams thinking about where to start, our sales prospecting assistant and competitor monitor templates describe similar jobs, the lead research before calls and weekly update draft use cases show recurring workflows, and the monitoring skill covers threshold alerts like the cash-position example.

How does AgentSpot compare with Gemini Agent and Copilot Autopilot?

Gemini Agent is Google Cloud’s universal work agent, announced on 8 October 2026, which takes objectives rather than instructions and can create coworker agents with their own Workspace identity. Microsoft Copilot Autopilot is a persistent agent that works inside your Microsoft 365 tenant. Both are in private preview, while AgentSpot is available today on a free plan.

The biggest difference is focus: AgentSpot centres on shared agents grounded in company data and a semantic layer, with outcome-based pricing. See AgentSpot vs Gemini Agent and AgentSpot vs Copilot Autopilot for side-by-side views, and read our Gemini Agent launch story.

What should you watch next?

TechTarget notes that AgentSpot’s value depends on how well a company’s underlying data is modeled, and analysts would like to see more tooling for evaluating, rolling back and safely repeating agent actions in production (TechTarget). Watch for customer stories, how the DO credit model works out for heavy users, and new connectors. We will update the AgentSpot profile as new facts are confirmed.

Timeline: how did we get here?

Agent snapshot: what do we know so far?

Facts below come from the agent profiles in our directory, each linked to its source.

AgentSpot at a glance

Full AgentSpot profile

Gemini Agent at a glance

Full Gemini Agent profile

Microsoft Copilot Autopilot at a glance

Full Microsoft Copilot Autopilot profile

Related comparisons and guides

Agents in this story

AgentSpot

business agent

ThoughtSpot's 'multiplayer AI' workspace: describe a job in plain English and it builds an agent, a recurring workflow or an app on your company data that the whole team can share and use together.

Gemini Agent

business agent

Google Cloud's universal work agent: give it objectives, not instructions. It works across Workspace and third-party channels and can create coworker agents with their own Workspace identity.

Microsoft Copilot Autopilot

business agent

Microsoft's persistent, proactive and personal agent (formerly Scout): give it a name, a role and a goal and it keeps working in the cloud inside your Microsoft 365 tenant, even when you are not.

Frequently asked questions

What is AgentSpot?

AgentSpot is ThoughtSpot's multiplayer AI workspace, where anyone can build agents, workflows and apps from plain language on company data and share them with colleagues.

When did AgentSpot launch?

ThoughtSpot launched AgentSpot on 22 October 2026.

How much does AgentSpot cost?

There is a free plan with 25 DO credits a week. The Fleet plan costs USD 1,650 a month billed annually with 250 DO credits a week. Both include unlimited users and agents.

What is a DO credit?

A Data to Outcome credit is used each time someone starts a new agent conversation, a workflow run completes or an app is loaded. Building, testing and failed runs are free.

Does AgentSpot work with Slack?

Yes. Ambient agents can follow a Slack channel and answer questions they can help with, and agents connect to tools such as Google Workspace, Microsoft 365, Notion and Jira.

Sources

Updated