Context for
intelligent work.

We turn open data into structured, verifiable context for AI workflows, helping ground model responses, reduce hallucinations, and improve factual accuracy.Ground AI in open data for more accurate answers with fewer hallucinations.

Select a stage
Read the docs ↗View endpoint ↓

Ausvector 3D Data Atlas

Interactive 3D visualization of connected data sources and AI workflow stages.

Drag to explore (Right-Click to Pan)
3D View
AUTO · 30S
Data structureStructured records
Vector flowRelationship mapping
ProvenanceTraceable sources
GroundingEvidence-linked context
InterfacesMCP / HTTP / CLI

Multiple ways
to connect.

Choose the access method that fits your workflow: remote MCP, authenticated HTTP API, or CLI. Agent Runtime provides a shared execution layer.

ACCESS
AUTHENTICATED ENDPOINT ACTIVE
REMOTE ACCESS · MCP

MCP Server Gateway

Connect MCP-compatible clients through one authenticated remote endpoint.

CLIENT ENVSCursor · Claude Desktop · Windsurf · Autonomous Agents
METHODPOST /mcp
AUTH TYPEBearer API Key
ACCESS FEATURES
Remote endpoint over HTTPSBearer-token authenticationClient-ready tool calls
Protocol Docs ↗Test Sandbox
ausvector-stream // mcp
LIVE SPEC
https://mcp.ausvector.ai/mcp
// MCP Client Configuration (claude_desktop_config.json)
{
  "mcpServers": {
    "ausvector": {
      "url": "https://mcp.ausvector.ai/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_MATRIX_KEY"
      }
    }
  }
}
TRANSPORT: HTTP POST / TLS 1.3AUTHENTICATED ACCESS

Agent Runtime

POST /api/v1/agent/runs

A shared execution layer for AI workflows, with explicit outcomes, traceable runs, and scoped memory.

Grounded executionWork from structured open data
Traceable outcomesClear status and run metadata
Scoped memoryKeep context within each workflow
Explore Agent Runtime

Open data
ready to use

  • Discover and retrieve records across supported datasets
  • Trace results to structured, source-aware information
  • Ground AI workflows in open data

Access these capabilities through MCP, HTTP API, CLI, and Agent Runtime.

Discover

Find relevant records across supported open datasets.

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Retrieve

Access structured records through consistent interfaces.

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Verify

Trace results to source information and provenance.

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Analyse

Use grounded open data in AI and analytical workflows.

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Integrate

Connect through MCP, HTTP API, CLI, or Agent Runtime.

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A practical platform
for open data.

Ausvector makes open data structured, verifiable, and ready for AI workflows.