This endpoint will provide you with rank scores of the domains, subdomains, and pages specified in the targets array. The score is based on the number of referring domains pointing to the specified domains, subdomains, or pages. The rank values represent real-time data for the date of the request...
AI agents call backlinks_bulk_ranks to retrieve information from Dataforseo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
targets | array | Yes | domains, subdomains or webpages to get rank for required field you can set up to 1000 domains, subdomains or webpages the domain or subdomain should be specifie |
rank_scale | string | — | defines the scale used for calculating and displaying the rank, domain_from_rank, and page_from_rank values optional field you can use this parameter to choose |
Parameters from the server's own tool schema.
This is a data retrieval tool that queries backlink metrics and domain rank scores. It performs lookups on existing SEO data without creating, modifying, deleting, or executing any operations. The rank scores are informational only and do not trigger external actions or financial transactions.
From the tool's definition The tool provides rank scores and backlink data for specified targets. The description uses "provide" and "will provide you with" data, indicating a query/retrieval operation.
Attacks that exploit this kind of access
This endpoint will provide you with rank scores of the domains, subdomains, and pages specified in the targets array. The score is based on the number of referring domains pointing to the specified domains, subdomains, or pages. The rank values represent real-time data for the date of the request and range from 0 (no backlinks detected) to 1,000 (highest rank). A similar scoring system is used in Google’s Page Rank algorithm. It is categorised as a Read tool in the Dataforseo MCP Server, which means it retrieves data without modifying state.
backlinks_bulk_ranks accepts 2 parameters: targets, rank_scale. Required: targets. The full parameter table on this page comes from the server's own tool schema.
Register the Dataforseo MCP server in PolicyLayer and add a rule for backlinks_bulk_ranks: 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 Dataforseo. Nothing to install.
backlinks_bulk_ranks 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 backlinks_bulk_ranks 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 backlinks_bulk_ranks. 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.
backlinks_bulk_ranks is provided by the Dataforseo MCP server (dataforseo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.