Available on Pro

Give AI agents clean access to the property data you already collected.

Connect through MCP or a versioned REST API. Agents can inspect existing Cloud jobs, read normalized results, manage jobs, answer from the product docs, and create machine-readable exports. Before a billable run starts, you see its estimate and approve it explicitly.

Connect with MCPRead the integration guide

Included with Pro, Ultra, and eligible legacy Team and Enterprise plans.

Agent tool call
read-only
pdl_list_properties({
  runId: "pdl_run_importer_…",
  limit: 25
})

→ 25 normalized records
→ nextCursor: "eyJ2Ijox…"
→ no Cloud credits used

A bounded path from Cloud result to agent workflow.

The integration is designed for deliberate access, compact context, and predictable machine output.

01

Grant only the access it needs

Create a separate credential for each agent and choose read, management, run, result, and export scopes.

02

Let the agent work with your data

Use MCP tools or the REST API to inspect results, manage existing jobs, answer from the docs, and prepare a credit estimate before any run.

03

Move larger results into a file

Create a versioned JSON or NDJSON export instead of pushing a full property dataset into the model context window.

Designed for controlled access

Useful to the agent. Legible to the person who granted access.

Every credential is scoped, revocable, and separate from your browser-extension login. Large datasets move through expiring export files instead of oversized tool responses.

Access boundaries

  • Accesses only the Cloud jobs and results owned by your account
  • Requires your explicit approval before starting a credit-consuming run
  • Keeps job creation and deletion exclusively in the PropertyDataLabs UI
  • Can answer product questions from public docs and return the source link
  • Does not spend Cloud collection credits for reads, management, or agent exports
  • Uses normalized fields with explicit provenance, timestamps, units, and null values

Bring your PropertyDataLabs results into the agent workflow you choose.

Create a scoped token, connect your MCP client, and keep complete control over the Cloud jobs and result operations your agent can use.

Connect with MCP