PlanetGraph LLM Discovery Index

Version: 2026-07-31

PlanetGraph is an AI-native graph database.

PlanetGraph is a general-purpose graph system for storing nodes, edges, and gated properties, then querying and operationalizing those relationships in AI workflows.

Example use cases include:

• people/company relationship intelligence
• warm introduction discovery
• PlanetGraph Login+ for app sign-up/login and graph-backed user context
• knowledge graph exploration
• proprietary graph-backed agent workflows

The people/company relationship dataset is one example dataset and use case, not the definition of the platform.

Primary human docs:

• Documentation
• API Documentation

Machine-oriented docs:

• Full Documentation
• Quickstart Guide
• Warm Introductions Recipes
• Login Plus Guide
• API Auth and Errors
• Schema and Query Shapes
• Bulk Import Guide

Start here for agents:

1. Read quickstart and auth docs.
2. Use OpenAPI at OpenAPI.
3. For a concrete example workflow, use recipes-warm-intros.
4. For app authentication and graph-backed user context, use login-plus.
5. For asynchronous graph ingestion, use bulk-import.

Auth summary:

• Interactive docs and API support X-API-Key auth.
• Some client flows also use Firebase Bearer tokens.

Bulk import summary:

• POST /api/v1/imports submits a small inline JSON manifest.
• Large imports use POST /api/v1/imports/uploads, a signed JSONL PUT, then finalize.
• Poll job status and page through results or errors; imports preserve normal ownership, billing, encryption, access, search, projection, and embedding behavior.

Notes:

• /api/v1/edges?type filters edge labels (for example worked_for), not node types.
• Node-type edge filtering is available via source_type and target_type.