producthunt_leaderboard
Retrieve Product Hunt leaderboard. Fetches Product Hunt leaderboard data for daily, weekly, monthly, or yearly scopes via Product Hunt GraphQL.
This record as markdown: /tools/crawlora-mcp/producthunt-leaderboard.md
What producthunt_leaderboard does on Crawlora
AI agents call producthunt_leaderboard to retrieve information from Crawlora without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
day | integer | — | Daily day override |
date | string | — | Anchor date in YYYY-MM-DD format. Used to derive missing year/month/day/week values. |
week | integer | — | Weekly ISO week override |
year | integer | — | Leaderboard year override |
month | integer | — | Daily/monthly month override |
order | string | — | Ranking order override. Defaults to scope rank enum. |
scope | string | — | Leaderboard scope: daily, weekly, monthly, yearly |
cursor | string | — | Pagination cursor |
featured | boolean | — | Featured products only |
Parameters from the server's own tool schema.
Why producthunt_leaderboard is rated Low
This tool queries and returns publicly available leaderboard data from Product Hunt without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal security risk—at worst, an agent could retrieve leaderboard data at high frequency, but this poses no data destruction, financial, or code execution risk.
From the tool's definition Tool description states it 'Retrieve[s] Product Hunt leaderboard data' and 'Fetches' leaderboard information via GraphQL query. The verb 'retrieve' and 'fetch' indicate read-only data access with no modification or execution of external operations.
Attacks that exploit this kind of access
The rule that runs producthunt_leaderboard safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Crawlora, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For producthunt_leaderboard, this is the rule to start with:
producthunt_leaderboard is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Crawlora, apply this rule, and every producthunt_leaderboard call is checked against it from then on.
Questions about producthunt_leaderboard
Retrieve Product Hunt leaderboard. Fetches Product Hunt leaderboard data for daily, weekly, monthly, or yearly scopes via Product Hunt GraphQL. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.
producthunt_leaderboard accepts 9 parameters: day, date, week, year, month, order, scope, cursor, featured. The full parameter table on this page comes from the server's own tool schema.
Register the Crawlora MCP server in PolicyLayer and add a rule for producthunt_leaderboard: 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 Crawlora. Nothing to install.
producthunt_leaderboard is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the producthunt_leaderboard 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 producthunt_leaderboard. 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.
producthunt_leaderboard is provided by the Crawlora MCP server (crawlora-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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