AiVIS Cite Ledger API Access Explained: Build on the Visibility Layer | AiVIS Cite Ledger Blogs

By · · 9 min read · IMPLEMENTATION

Your visibility data should not be trapped inside a dashboard. Here is how to pull it into your own tools, pipelines, and AI agents.

Key Takeaways

  • AiVIS Cite Ledger exposes two integration surfaces: a traditional REST API for developers and WebMCP for AI agents, both authenticated through scoped API keys.
  • API keys are generated in Settings with granular scopes: read:audits, write:audits, read:analytics, and read:score-fix.
  • WebMCP tools are discoverable via /.well-known/webmcp.json, letting Claude, Cursor, and other MCP clients auto-detect capabilities.
  • Tier gating controls access: Alignment unlocks WebMCP, Signal unlocks REST API, and all tiers share the same usage pools.
  • Every API response maps directly to the structured evidence model used internally, so integrations get the same data quality as the dashboard.

Article

One of the first questions developers ask after running their first AiVIS Cite Ledger audit is: "Can I hit this from my own code?"

Yes. And you should.

Because visibility data trapped inside a dashboard is visibility data that never makes it into the systems where decisions actually happen. CI/CD pipelines. Internal reporting dashboards. Slack alerts. Automated competitive monitoring. AI agent workflows.

If your audit intelligence lives in a tab you check once a week, you are already behind.

This is the full breakdown of how AiVIS Cite Ledger API access works, who gets access, what you can do with it, and how to get started today.

Two Integration Surfaces, One Auth System

AiVIS Cite Ledger gives you two ways to integrate programmatically.

The first is a traditional REST API. Standard JSON endpoints. Predictable request/response patterns. Built for developers writing Python scripts, Node services, or internal tools that need to pull audit data on a schedule.

The second is WebMCP. This is the Model Context Protocol surface. Built for AI agents. Claude Desktop, Cursor, and any MCP-compatible client can discover and invoke AiVIS Cite Ledger tools through structured, typed interactions.

Both surfaces use the same authentication: Bearer tokens via API keys.

Both respect the same tier gating and usage limits.

Both return the same structured data model.

The difference is who the client is. REST API is for your code. WebMCP is for your AI.

Getting Your API Key

API keys are generated in your account Settings under the API Keys section.

You name the key (something like "Production Monitoring" or "CI Pipeline"), select the scopes you need, and hit create. The platform shows you the full key exactly once. Copy it and store it somewhere secure. It starts with avis_sk_live_ and that prefix is how the system identifies it as an API key versus an OAuth session token.

You can create up to 5 keys per account. Each key can be independently enabled or disabled without af

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