datasets_steam_prices_search
Search the steam-prices dataset. Searches the daily price time series for priced games (one document per appid × day; integer cents). Pair app_id with sort=date_desc for a game's price history, or pass date for one day's snapshot. Sort enum: date_desc (default), date_asc, price_asc, price_desc, d...
This record as markdown: /tools/crawlora-mcp/datasets-steam-prices-search.md
What datasets_steam_prices_search does on Crawlora
AI agents call datasets_steam_prices_search 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 |
|---|---|---|---|
date | string | — | Snapshot date filter yyyy-MM-dd |
page | integer | — | Page number, defaults to 1 |
sort | string | — | Sort enum: date_desc, date_asc, price_asc, price_desc, discount_desc |
app_id | string | — | Exact Steam app id filter |
page_size | integer | — | Page size, defaults to 20 and maxes at 100; page * page_size must be <= 10000 |
Parameters from the server's own tool schema.
Why datasets_steam_prices_search is rated Low
Even though datasets_steam_prices_search 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.
Attacks that exploit this kind of access
The rule that runs datasets_steam_prices_search 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_steam_prices_search, this is the rule to start with:
datasets_steam_prices_search 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_steam_prices_search call is checked against it from then on.
Questions about datasets_steam_prices_search
Search the steam-prices dataset. Searches the daily price time series for priced games (one document per appid × day; integer cents). Pair app_id with sort=date_desc for a game's price history, or pass date for one day's snapshot. Sort enum: date_desc (default), date_asc, price_asc, price_desc, discount_desc. It is categorised as a Read tool in the Crawlora MCP Server, which means it retrieves data without modifying state.
datasets_steam_prices_search accepts 5 parameters: date, page, sort, app_id, page_size. 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_steam_prices_search: 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_steam_prices_search 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_steam_prices_search 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_steam_prices_search. 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_steam_prices_search 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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