datasets_producthunt_makers_facets
Facet the Product Hunt makers dataset. Returns distribution counts over the Product Hunt makers dataset (dataset id enum value producthunt-makers), honoring the same filters as search. Facet enum: topic, product_count_band.
This record as markdown: /tools/crawlora-mcp/datasets-producthunt-makers-facets.md
What datasets_producthunt_makers_facets does on Crawlora
AI agents call datasets_producthunt_makers_facets 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 |
|---|---|---|---|
q | string | — | Full-text query over maker name and headline, max 256 characters |
facet | string | Yes | Facet enum: topic, product_count_band |
topic | string | — | Exact topic-slug the maker builds in, max 128 characters |
min_products | integer | — | Minimum number of products made, 0 or greater |
min_total_votes | integer | — | Minimum total upvotes across the maker's products, 0 or greater |
Parameters from the server's own tool schema.
Why datasets_producthunt_makers_facets is rated Low
This tool retrieves and aggregates statistical information from a Product Hunt makers dataset. Faceting is a read-only operation that computes and returns distribution metrics without modifying underlying data or executing external commands. The low severity reflects minimal risk even if misused—an agent could only retrieve dataset statistics, not alter data or trigger side effects.
From the tool's definition Tool performs 'Facet' operation returning 'distribution counts' over a dataset with filters applied. No mutation, deletion, or execution of arbitrary code is indicated. The operation is purely analytical/aggregative in nature.
Attacks that exploit this kind of access
The rule that runs datasets_producthunt_makers_facets 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 datasets_producthunt_makers_facets, this is the rule to start with:
datasets_producthunt_makers_facets 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 datasets_producthunt_makers_facets call is checked against it from then on.
Questions about datasets_producthunt_makers_facets
Facet the Product Hunt makers dataset. Returns distribution counts over the Product Hunt makers dataset (dataset id enum value producthunt-makers), honoring the same filters as search. Facet enum: topic, product_count_band. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.
datasets_producthunt_makers_facets accepts 5 parameters: q, facet, topic, min_products, min_total_votes. Required: facet. 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 datasets_producthunt_makers_facets: 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.
datasets_producthunt_makers_facets 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 datasets_producthunt_makers_facets 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 datasets_producthunt_makers_facets. 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.
datasets_producthunt_makers_facets 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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