stealth_apply
Reinstall the anti-detection profile (webdriver flag, UA, plugins, WebGL, locale) on every page target
This record as markdown: /tools/0click-insta/stealth-apply.md
What stealth_apply does on 0click Insta
AI agents use stealth_apply to create or update resources in 0click Insta, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 0click Insta environment.
Why stealth_apply is rated Medium
An AI agent can call stealth_apply faster than any human can review: one bad instruction and it creates or modifies resources in 0click Insta by the hundred, each call as confident as the last.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs stealth_apply safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 0click Insta, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stealth_apply, this is the rule to start with:
stealth_apply stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect 0click Insta, apply this rule, and every stealth_apply call is checked against it from then on.
Questions about stealth_apply
Reinstall the anti-detection profile (webdriver flag, UA, plugins, WebGL, locale) on every page target. It is categorised as a Write tool in the 0click Insta MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the 0click Insta MCP server in PolicyLayer and add a rule for stealth_apply: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches 0click Insta. Nothing to install.
stealth_apply is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the stealth_apply rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for stealth_apply. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
stealth_apply is provided by the 0click Insta MCP server (akufikri/0click-insta). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on 0click Insta, and thousands of servers like it.
This server
Across the catalogue