How much does Fluid Topics cost?

Enterprise pricing that is not publicly listed and is arranged through a sales process, typically scoped to content volume, users, and channels.

Does Fluid Topics support MCP and tool calling?

Full under the Agentic Index verification standard. Fluid Topics publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: A fully operational MCP server lets any MCP-compatible agent call Fluid Topics for its product knowledge, authenticated with OAuth2, and the vendor names APIs, alongside semantic search and RAG services, as how it connects product content t. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Fluid Topics have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Fluid Topics publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: Fluid Topics states ISO 27001:2022 certification on its AI and agentic AI pages and carries an ISO 27001 badge in the site footer, alongside role-based access control, single sign-on and encryption; its MCP server enforces content access ru. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can you bring your own model or route between providers with Fluid Topics?

Full under the Agentic Index verification standard. Fluid Topics publishes public evidence of bring your own model and bring your own key (BYOK), and of routing tasks between models or providers rather than being locked to one. Evidence basis: The RAG chatbot ships with pre-built LLM connectors and fine-tuned prompts, and OpenAI appears among the platform's ready-made connectors, so the customer connects the language model its assistants use. Buyers bring their own model provider. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Fluid Topics

Q: Who is Fluid Topics for?

Technical documentation and content teams, Customer support and service organizations, Software and manufacturing enterprises, Teams building AI assistants on product knowledge

Q: What are the best alternatives to Fluid Topics?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Fluid Topics among agent infrastructure platforms are Lemony, Cartesia, Exa, Bright Data. Each is graded on the same public evidence, and no vendor pays for placement.

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Agent infrastructureindependentVerified 2026-09-21

Entry priceEnterprise pricing; not publicly listedFull pricing detail

Product knowledge platform that unifies technical content into an AI ready hub and, through core RAG services and an MCP server, grounds chatbots, copilots, and agents in trusted, cited product information.

Fluid Topics is a product knowledge platform that centralizes technical and product content from authoring tools and repositories such as Adobe Experience Manager, Paligo, Heretto, MadCap, Confluence, SharePoint, Salesforce and Zendesk into one hub, without replacing the systems where content is written, and delivers it through documentation portals, in-product help, helpdesk integrations and AI assistants.

For AI projects it provides core RAG services, including embeddings, semantic search and prompt management, and serves an MCP server that gives MCP-compatible agents access to the customer's product knowledge, with OAuth2 enforcing content access rules and admins enabling or disabling individual tools. Its own assistants include a RAG chatbot that answers with citations, an Agentic Chatbot for multi-step queries, reply suggestions that support agents review and customize before sending, and on-the-fly translation.

Fluid Topics states ISO 27001:2022 certification, role-based access control, single sign-on and audit logging, and runs as a cloud service. An analytics suite measures search, user journeys, ratings, case deflection and how users interact with AI features. Pricing is not published.

Vendor details

Canonical URL

https://www.fluidtopics.com

Funding status

Venture backed

Company status

independent

Use cases & customers

Primary use cases

AI ready product knowledge hubGrounding chatbots and agents via MCPSelf service documentation portalsSupport agent assist with cited answers

Target customers

Technical documentation and content teamsCustomer support and service organizationsSoftware and manufacturing enterprisesTeams building AI assistants on product knowledge

Deployment options

Cloud (SaaS)

Integrations

More than 100 connectors to CCMS, SharePoint, Confluence, Git, LMS, and helpdesk systems, an open API, and a production ready MCP server that connects LLMs and agents to the knowledge hub.

Sources & related URLs

Research sources

https://www.fluidtopics.com/ https://www.fluidtopics.com/capabilities/artificial-intelligence/ https://www.fluidtopics.com/capabilities/agentic-ai/ https://www.fluidtopics.com/capabilities/content-analytics/

Agentic Index coverage score

7.5 / 14 capabilities · 54%

Integrations & Tool Calling	Partial
Ready-made connectors bring content in from authoring and repository systems such as Adobe Experience Manager, Paligo, Heretto, MadCap, Confluence, SharePoint, Salesforce, Zendesk and GitHub, and the helpdesk integration surfaces documentation and AI-assisted reply suggestions inside the support tool. These connectors read content into the knowledge hub and deliver it outward; none is documented as letting an agent write to or take an action in those systems. SourceFluid Topics, fluidtopics.com homepageread 2026-09-21
Workflow Orchestration	Partial
The RAG chatbot ships with prebuilt orchestration over embeddings and vector search, and the Agentic Chatbot handles multi-step queries by reasoning over intent and coordinating several retrieval tools across the documentation. Both are fixed pipelines inside Fluid Topics' own assistants. The documentation describes no workflows that customers build themselves to mix deterministic nodes with agent steps, and no first class branching, retries or fallbacks. SourceFluid Topics, capabilities/agentic-ai and fluidtopics.com homepageread 2026-09-21
Knowledge Grounding & RAG	Full
Product content from many sources and formats is centralized into one hub kept aligned with product updates, and Fluid Topics provides core RAG services, including embeddings, semantic search and prompt management; visibility rules by role, group and metadata are applied when feeding LLMs, and chatbot answers carry citations and links to the referenced content. Sourcefluidtopics.com/capabilities/artificial-intelligenceread 2026-09-21
Human Oversight & Guardrails	Partial
For support teams, Fluid Topics generates reply suggestions to incoming inquiries that support agents review, validate and customize before sending, so AI-drafted replies reach customers only after a person approves them. That is one fixed review step in one feature. No approval steps that a customer can insert at a node, workflow or policy layer are documented, nor any autonomy modes that treat low risk and high risk actions differently. Sourcefluidtopics.com/capabilities/artificial-intelligenceread 2026-09-21
Security, Identity & Governance	Full
Fluid Topics states ISO 27001:2022 certification on its AI and agentic AI pages and carries an ISO 27001 badge in the site footer, alongside role-based access control, single sign-on and encryption; its MCP server enforces content access rules through OAuth2 so agents receive only what their credentials allow, and admins can enable or disable individual tools. Content used for embeddings is processed internally and not exposed to external systems. Sourcefluidtopics.com/capabilities/agentic-airead 2026-09-21
Observability & Auditability	Partial
Full audit logging is stated for the AI, with audit logs for the chatbot, and the analytics suite tracks how users interact with AI features such as chatbots and summarizers. No step by step view of the prompts, retrieved passages, tool calls and outputs of an AI run is documented. Sourcefluidtopics.com/capabilities/artificial-intelligenceread 2026-09-21
Memory & State Persistence	Not documented
The Agentic Chatbot handles multi-step queries, but no session, conversation or long term memory with a stated scope and lifetime is documented for Fluid Topics' assistants or for agents using its MCP server. The unified product knowledge hub holds the customer's content rather than agent memory; the analytics suite's record of user preferences and history personalizes content delivery rather than serving an agent as memory. Sourcefluidtopics.com/capabilities/agentic-airead 2026-09-21
Deployment & Data Residency	Not documented
A cloud native solution designed for enterprise environments is how Fluid Topics describes its AI. No self hosted, dedicated cloud, VPC or region selection option is published. Sourcefluidtopics.com/capabilities/artificial-intelligenceread 2026-09-21
Prebuilt Agents / Templates / Packs	Partial
Fluid Topics ships its own ready-to-use AI tools: a RAG chatbot with prebuilt orchestration and a customizable UI, an Agentic Chatbot, AI reply suggestions for support agents, AI search and on-the-fly translation. These are a fixed set of built-in assistants over one knowledge hub rather than templates, blueprints or role-specific agents a buyer picks from and adapts; the agentic use cases for onboarding and RFP replies describe what a customer's own agents can do through the MCP server. Sourcefluidtopics.com/capabilities/artificial-intelligenceread 2026-09-21
Triggers & Channel Coverage	Full
Each incoming customer inquiry is analyzed and reply suggestions for support agents are generated automatically, so an arriving inquiry starts the AI's work without a person asking. Otherwise the chatbots, in-product help and helpdesk integration answer when a user asks, across portals, embedded help, the helpdesk and MCP clients. Sourcefluidtopics.com/capabilities/artificial-intelligenceread 2026-09-21
Model Flexibility & Routing	Full
The RAG chatbot ships with pre-built LLM connectors and fine-tuned prompts, and OpenAI appears among the platform's ready-made connectors, so the customer connects the language model its assistants use. Buyers bring their own model providers; which providers are supported and whether the choice can be set per workspace are not published. SourceFluid Topics, fluidtopics.com homepageread 2026-09-21
APIs / SDKs / MCP Extensibility	Full
A fully operational MCP server lets any MCP-compatible agent call Fluid Topics for its product knowledge, authenticated with OAuth2, and the vendor names APIs, alongside semantic search and RAG services, as how it connects product content to AI applications without replacing authoring systems. Sourcefluidtopics.com/capabilities/agentic-airead 2026-09-21
Testing, Debugging & Optimization	Not documented
The analytics suite measures documentation performance: search analytics and no-result queries, user journeys, topic ratings and comments, case deflection, and GenAI metrics that track how users interact with chatbots and summarizers. None scores the quality of the AI's answers over time or tests an agent before release. Sourcefluidtopics.com/capabilities/content-analyticsread 2026-09-21
Browser / Computer-use	Not documented
Fluid Topics delivers content through portals, embedded help, the helpdesk and its MCP server, and no browser, desktop or computer control by an agent is documented. SourceFluid Topics, fluidtopics.com homepage and capabilities/agentic-airead 2026-09-21

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Enterprise pricing; not publicly listed

Not published; pricing is quoted through a sales conversation.

Cost watchouts

No public rate card, so cost cannot be compared before a sales conversation.

Variable cost rationale

No public rate or billing unit is published, so exposure cannot be read from the vendor's pages.

Sales call required

Yes, required for paid access

Free / trial

Demo available; no public free tier.

Lowest paid plan

Not publicly listed.

Key ambiguities

No pricing page is published on fluidtopics.com; the site routes buyers to demos and its solution experts.

Agentic Index verified 2026-09-21

Official pricing page

Related vendors

Alternatives to Fluid Topics

The closest documented capability profiles to Fluid Topics among agent infrastructure platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Lemony7.0 / 14Adds documented Deployment & Data Residency
Cartesia10.5 / 14Adds documented Memory & State Persistence and Deployment & Data Residency, among others
Exa6.5 / 14Adds documented Memory & State Persistence and Browser & Computer Use
Bright Data8.0 / 14Adds documented Deployment & Data Residency and Browser & Computer Use
Modal8.0 / 14Adds documented Memory & State Persistence and Deployment & Data Residency, among others
Paragon10.0 / 14Adds documented Deployment & Data Residency and Testing, Debugging & Optimization

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Fluid Topics with other vendors →Compare all agent infrastructure platforms →See where Fluid Topics ranks →

Data confidence: medium

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