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API and MCP

One interface to the knowledge behind the business.

Task-ready context or ranked evidence over HTTP, and the same capabilities to a compatible agent through MCP. Both deliver the same permission-aware understanding of the enterprise, grounded in the same sources and relationships — the identity is attached either way.

Context API

Request the context the task needs.

Compact, agent-ready context organized around a business task — for agents, copilots, workflow automation, and model prompts that need business-ready context.

POST /v1/context

Request
The task, the requesting identity, and the purpose of the work.
Response
Context, evidence, the permission decision, coverage, and source references — for that task and identity.

Evidence API

Keep control over retrieval and presentation.

Ranked, source-linked evidence for applications that assemble context themselves — custom retrieval workflows, research interfaces, evaluation systems, and applications that need granular evidence handling.

POST /v1/retrieve

Entities and relationships
The objects relevant to the task, and how they connect.
Evidence and provenance
The source behind each fact, with a path back to the original.
Permissions, freshness, and coverage
The access decision applied; how current and complete the result is.

MCP

Give agents a native way to understand the enterprise.

Expose approved Percidian context capabilities to a compatible agent through MCP. Users authenticate through the enterprise, and their permissions follow every request. The same agent can understand a client, prepare for a meeting, review a matter, or support a long-running workflow without receiving unrestricted access to the underlying systems.

  1. Connect

    Add the Percidian MCP endpoint to a compatible agent, assistant, or development environment.

  2. Authenticate

    Bind the session to the enterprise identity of the user or service.

  3. Work with context

    The agent requests only the business understanding the task needs.

Connect once. Govern centrally. Use across every compatible AI surface.

What a connected agent can request

  • Understand a client or account
  • Prepare a matter or deal briefing
  • Find the evidence behind a business claim
  • Retrieve the history of a decision
  • Identify relevant obligations and deadlines
  • Assemble context for a long-running workflow

Authentication and identity

The identity stays attached to the request.

User experiences use delegated enterprise identity; applications and workflows operate with approved service identities and defined scopes. If identity or permission cannot be established, the request receives no sensitive context.

User-delegated access

Enterprise sign-in for assistants and applications acting on behalf of a person.

Service access

A defined identity and scope for an approved application or workflow.

MCP authorization

User identity preserved across compatible MCP sessions.

Enterprise mapping

Identities, groups, roles, and source permissions in one governed access model.

How each access decision is made and recorded: the request path.

Common build patterns

Use Percidian wherever AI needs to know the business.

The same interfaces, identity, and governed context, in the products teams build most often.

In-product copilot
Answers grounded in the user’s authorized customer, product, or account context.
Enterprise assistant
Institutional memory carried across conversations and AI applications.
Workflow agent
The history, relationships, and evidence a long-running agent needs to complete work.
Research experience
Structured, cited evidence for analysis and review.
Meeting preparation
The people, history, open issues, and decisions behind an upcoming interaction.
Document generation
Memos, reports, models, and presentations grounded in current enterprise context.

Give every application the same business understanding.

Tell us what you are building. We will help you select the right API, MCP, identity, and deployment pattern.

Bring your business into every AI decision

Give every approved AI system the context to do its best work.

Connect the knowledge your organization already has. Preserve what it learns. Apply the permissions it already trusts. Make that understanding available wherever people and agents work.

See it on your business.

A briefing mapped to your systems, your permissions, and one workflow that matters.

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