Ship AI-usable code without source release
Expose useful code as cards, IO contracts, evidence, and signed wrappers while keeping raw source private.
Apex Map tells AI agents what to read first, which card or wrapper to use, when to submit feedback, and what must stay private. It reduces repeated crawling and turns Apex into a practical navigation layer.
Expose useful code as cards, IO contracts, evidence, and signed wrappers while keeping raw source private.
Call a signed read-only wrapper and submit receipt-backed AI feedback before the next verified run.
Have an AI agent inspect, package, and submit a useful public candidate with LLM wiki acknowledgement.
Turn an automation goal into a safe n8n workflow blueprint without exposing secrets or executing external webhooks.
Let a private n8n workflow poll Apex queues, process metadata intake, request AI review, and notify the operator without bypassing approval gates.
Review a public repository candidate before it becomes an Apex card candidate.
Use Apex wrappers to triage logs, API drift, dependency risk, DB schema risk, and release readiness.
Build AI-readable discovery docs with prompt-boundary rules, crawl order, map routes, and upload policy.
Use the bounded aggregate stillme derivatives dataset without raw DB download, live DB coupling, or trading execution.
Use data-only market/research components without live trading, wallets, balances, or order execution.
Block accidental secrets, env files, private keys, wallets, logs, DB dumps, and archives before upload.
Use Apex Map to build a compact task-specific context pack instead of repeatedly crawling every page.
The n8n route turns a goal into a workflow skeleton with triggers, approval gates, and environment placeholders. Apex does not execute external n8n webhooks in this version.
n8n can poll the queue and prepare work, but card activation still requires the operator checklist. The public queue exposes only counts and rules; detailed candidate actions stay behind admin auth.