HoundDog.ai: ProtoMap & Privacy Code Scanner

8×

reduction in tokens and time for change-planning tasks on APIs, services and fields.

Enterprise customer · multi-million-line monorepo, complex web of gRPC + Protobuf services

7.7×

faster and 6.4× cheaper per prompt with the ProtoMap MCP server (Claude Code, Opus 5.5).

ProtoMap benchmark · 20 prompts across 9 gRPC repositories, 5M lines of code · See the benchmark →

Free

to install: the self-hosted platform and CLI scanner, with your own AI provider.

Enterprise keeps the graph fresh org-wide

Built for the age of agentic coding

gRPC sprawl is coming. Stop burning tokens to rediscover it.

Every line an agent writes adds services, calls and fields that the next agent has to rediscover. ProtoMap keeps one deterministic map of all of it, so your context stays accurate and affordable however fast the code grows.

Monorepo-ready

Built for multi-million-line monorepos and sprawling microservices: one service graph across every repo, refreshed on every commit.

Enterprise-ready

Cloud hosted or deployed on-premises, with GitHub, Bitbucket and GitLab integrations and scans in CI on every pull request.

Future-proof against token costs

Agents query the graph instead of re-reading code, so the cost of an answer depends on the question, not on the size of your codebase.

Ask ProtoMap

The questions behind every cross-service change, answered from code.

Engineers ask in plain English in the web platform. Coding agents ask over MCP. Both get the same deterministic answer.

Callers

Callees

5 hops each way

Click any screenshot to enlarge

Start on one laptop, roll out org-wide

For “human” engineers first. Then for every AI coding agent.

Step 1 · Free

Install it on your machine

Install the ProtoMap web platform and CLI and query your organization’s service graph in plain English. Free for whatever code is scanned on your machine.

Self-hosted platform and CLI scanner
Bring your own AI provider: Anthropic, OpenAI, Google and others
MCP for your coding agent, with your local changes laid over the graph

$ curl -fsSL https://protomap.ai/install.sh | sh Install ProtoMap Free

Step 2 · Enterprise

Keep the graph fresh org-wide

The enterprise version keeps the service graph fresh across your entire organization, so agents stop cloning repositories they don’t own.

Cloud hosted or deployed on-premises in your org
Direct integrations with GitHub, Bitbucket, and GitLab
Runs scans in CI on every pull request
HoundDog.ai’s MCP Server gives every agent the full service map

Book a Demo

Static analysis discovers. AI reasons. MCP delivers.

Why not just use an LLM?

HoundDog.ai is built to make your AI more effective, not to replace it.

Spend tokens on reasoning, not discovery.

The scanner discovers every service, API and field dependency, so your AI tokens go to higher-value work like assessing the blast radius, planning changes, and answering questions about your service graph.

Evidence you can stand behind.

The same commit always produces the same service graph. Every engineer and every agent gets the same answer about what a change will break, instead of output that varies with the prompt.

Easy to roll out org-wide.

The Rust scanner runs in CI on standard CPU infrastructure, across every repo and every commit, with negligible impact on build times.

The same engine, pointed at sensitive data

Privacy Code Scanner

Code-based evidence for GDPR data maps, RoPA & privacy reviews.

The static analysis behind ProtoMap also traces sensitive data into logs, storage, third-party and AI integrations. Ask the assistant about your data in plain English and explore the answer on an org-wide data map.

Start Free on GitHub Learn more

Code-based dataflow context

Fast, deterministic analysis with centralized context.

Engineering: cross-repo API and service context for your AI agents

The gap

API specs alone don't cover the services and fields consuming your APIs.

→

The cost

Without centralized dataflow context, agents burn tokens grepping repos and writing ad-hoc bash scripts to parse code relationships, often on code not even checked out locally, leaving AI with an incomplete picture.

→

With HoundDog.ai

An MCP server continuously fetches the exact cross-repo context, so prompting your agent to update a service or API runs 6.4× faster and 5.3× cheaper, with the full picture.

The business case

Two products, measured separately.

ProtoMapChange planning & AI coding agents

Privacy Code ScannerGDPR data mapping, RoPA & leak prevention

Headline result

8×reduction in tokens and time for change-planning tasks (enterprise customer, monorepo of millions of lines of code).

90%less manual data-mapping effort (Fortune 500 outcome).

Cost

$14.44 → $0.40for a single prompt, 6m 01s down to 50s (Claude Code, Opus 5.5). See the full benchmark →

$2Msaved by one customer in eng hours and masking tooling.

Speed

Every committhe graph refreshes in CI on standard CPU infrastructure.

< 5 minto remediate a flagged exposure, fix suggested in the PR.

ProtoMap agent-task figures are an internal measurement with the same prompt, monorepo and Claude Code agent. Results vary by model, repository, prompt and task.

Flagship deployment

HoundDog.ai + Replit.

50M

Users protected

100k

Scans daily

100+

Data types

Detects leaks before publishing

Auth tokens and passwords in logs or local storage, caught at scan time.

Flags unscoped AI & third-party flows

PII/PHI to integrations that don't match published privacy notices.

Privacy by default, not retrofit

AI-generated apps embed GDPR & CCPA best practices from day one.

Replit Security and Privacy Scanner, powered by HoundDog.ai, showing a flagged Medical Record Number sent to standard output with GDPR, CCPA, HIPAA, and NIST compliance tags

Stop wasting tokens on discovery.

Install the self-hosted ProtoMap platform and CLI scanner for free, and give your engineers and agents org-wide context.

Install ProtoMap Free Book a Demo