Turn Weeks of Codebase Exploration Into Minutes

We map your entire system—every service, endpoint, dependency—so new developers understand it instantly and experienced developers can query instead of search.

Our Services

Evidence Sprint

6-8 hour intensive mapping. We map your codebase into a complete knowledge graph with semantic search, architecture diagrams, coverage analysis, and security audits.

  • Complete code mapping (functions, classes, dependencies)
  • Semantic clustering (identify themes and patterns)
  • Architecture inference (layers, services, patterns)
  • Coverage & security analysis
  • Interactive documentation website
~$350

One-time mapping, 6-8 hours

Book Evidence Sprint

Standard Care

Ongoing health monitoring for your knowledge graph. Automatic drift detection, coverage tracking, and continuous quality assurance as your codebase evolves.

  • Automated drift detection (code changes monitored)
  • Coverage trend analysis (improving or degrading?)
  • Security vulnerability alerts
  • Health dashboard (real-time metrics)
  • Automatic re-extraction on major changes
Custom pricing

Based on codebase size and update frequency

Contact Us

How It Works: 11-Stage Pipeline

STAGE 1-2: CONNECT & PROCESS

Data Ingestion

Clone repositories, parse code, extract documentation with client consent.

STAGE 3: ANALYZE

Corpus Analysis

Semantic clustering, complexity metrics, architecture patterns identified.

STAGE 4-5: STRATEGY

Approach Selection

Code-first vs docs-first strategy based on corpus characteristics.

STAGE 6: EXTRACTION

Knowledge Graph Build

AST parsing, dependency graphs, behavior specs, architecture inference.

STAGE 7-8: HEALTH

Quality Validation

Coverage analysis, security scanning, drift detection, health monitoring.

STAGE 9-11: DELIVERY

Documentation & Delivery

Auto-generated docs, human narratives, interactive website deployed.

All graphs use Mind Protocol's universal type system for protocol compatibility

U4_Code_ArtifactU4_Knowledge_ObjectU4_SubentityU4_IMPLEMENTSU4_DOCUMENTS

Case Study: Scopelock

Automated proposal generation system - First client delivery

The Challenge

344 files across Python backend and TypeScript frontend. Documentation scattered across multiple sources. No way to quickly understand architecture, trace dependencies, or assess test coverage.

The Result

Complete system mapped in 6 hours. New developers now onboard in days instead of weeks. Architecture queryable. Dependencies visible. Quality metrics automated.

172 nodes
Functions, services, endpoints mapped
54 relationships
Dependencies & connections traced
4 layers
Architecture patterns identified
6 hours
From code to queryable graph

Ready to Turn Weeks Into Minutes?

Book an Evidence Sprint and get your complete system map in 6-8 hours. No contracts, no subscriptions—just results.

~$350 $MIND

Evidence Sprint • 6-8 hours • Complete system map

Email: graphcare@mindprotocol.ai

Include: Repository URL, preferred timeline, any specific concerns (security, coverage, architecture)