# datasets_producthunt_products_item

Get a Product Hunt product from the dataset. Returns one product by its Product Hunt slug from dataset id enum value producthunt-products, including its full launch history and (once hydrated) description, website, pricing and makers. Returns 404 when the slug is not in the archive.

Agent View of the PolicyLayer registry record for `datasets_producthunt_products_item`. HTML page: https://policylayer.com/tools/crawlora-mcp/datasets-producthunt-products-item

## Facts

- Tool: `datasets_producthunt_products_item`
- Server: Crawlora (`crawlora-mcp`) — https://policylayer.com/tools/crawlora-mcp.md
- Install: `npx -y crawlora-mcp`
- Homepage: https://www.npmjs.com/package/crawlora-mcp
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 1 (1 required)
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `slug` | string | yes | Product Hunt product slug, e.g. chatgpt |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "datasets_producthunt_products_item",
    "arguments": {
      "slug": "<slug>"
    }
  }
}
```

## Why datasets_producthunt_products_item is rated Low

Even though datasets_producthunt_products_item only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

## Use case

AI agents call datasets_producthunt_products_item 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.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Crawlora:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "datasets_producthunt_products_item": {}
  }
}
```

## Other tools on Crawlora (727)

- `anime_title` — Execute — https://policylayer.com/tools/crawlora-mcp/anime-title.md
- `coingecko_new_coins` — Execute — https://policylayer.com/tools/crawlora-mcp/coingecko-new-coins.md
- `justwatch_discover` — Execute — https://policylayer.com/tools/crawlora-mcp/justwatch-discover.md
- `justwatch_new` — Execute — https://policylayer.com/tools/crawlora-mcp/justwatch-new.md
- `manga_title` — Execute — https://policylayer.com/tools/crawlora-mcp/manga-title.md
- `steam_charts_top_releases` — Execute — https://policylayer.com/tools/crawlora-mcp/steam-charts-top-releases.md
- `yahoo_finance_ticker_history` — Execute — https://policylayer.com/tools/crawlora-mcp/yahoo-finance-ticker-history.md
- `airbnb_host` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-host.md
- `airbnb_host_listings` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-host-listings.md
- `airbnb_host_reviews` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-host-reviews.md
- `airbnb_room` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-room.md
- `airbnb_room_calendar` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-room-calendar.md
- `airbnb_room_reviews` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-room-reviews.md
- `airbnb_search` — Read — https://policylayer.com/tools/crawlora-mcp/airbnb-search.md
- `amazon_product` — Read — https://policylayer.com/tools/crawlora-mcp/amazon-product.md
- `amazon_search` — Read — https://policylayer.com/tools/crawlora-mcp/amazon-search.md
- `amazon_suggest` — Read — https://policylayer.com/tools/crawlora-mcp/amazon-suggest.md
- `anime_character` — Read — https://policylayer.com/tools/crawlora-mcp/anime-character.md
- `anime_character_search` — Read — https://policylayer.com/tools/crawlora-mcp/anime-character-search.md
- `anime_rankings` — Read — https://policylayer.com/tools/crawlora-mcp/anime-rankings.md
- `anime_search` — Read — https://policylayer.com/tools/crawlora-mcp/anime-search.md
- `anime_title_characters` — Read — https://policylayer.com/tools/crawlora-mcp/anime-title-characters.md
- `anime_title_recommendations` — Read — https://policylayer.com/tools/crawlora-mcp/anime-title-recommendations.md
- `anime_title_staff` — Read — https://policylayer.com/tools/crawlora-mcp/anime-title-staff.md
- `apple_podcasts_charts` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-charts.md
- `apple_podcasts_episodes_search` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-episodes-search.md
- `apple_podcasts_search` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-search.md
- `apple_podcasts_show` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-show.md
- `apple_podcasts_show_episodes` — Read — https://policylayer.com/tools/crawlora-mcp/apple-podcasts-show-episodes.md
- `appstore_app` — Read — https://policylayer.com/tools/crawlora-mcp/appstore-app.md
- …and 697 more: https://policylayer.com/tools/crawlora-mcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=crawlora-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/crawlora-mcp