This endpoint will provide you with the number of new and lost backlinks and referring domains for the domain specified in the target field. The results will be provided for a period between the two indicated dates, and metrics will be grouped by the time range that you define: day, week, month, ...
AI agents call backlinks_timeseries_new_lost_summary 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 |
|---|---|---|---|
target | string | Yes | domain to get data for required field a domain should be specified without https:// and www. example: "forbes.com" |
date_to | string | — | ending date of the time range optional field if you don’t specify this field, the today’s date will be used by default minimum value shouldn’t preceed the date |
date_from | string | — | starting date of the time range optional field this field indicates the date which will be used as a threshold for summary data; minimum value: 2019-01-30 maxim |
group_range | string | — | time range which will be used to group the results optional field default value: month possible values: day, week, month, year note: for day, we will return ite |
Parameters from the server's own tool schema.
The tool queries historical backlink data for a specified domain and time range, returning metrics grouped by time period. This is a read-only data retrieval operation with no ability to create, modify, delete, or execute anything. Misuse potential is minimal — an agent could only query data about domains.
From the tool's definition 'This endpoint will provide you with the number of new and lost backlinks and referring domains' — purely retrieves and returns data with no side effects
Attacks that exploit this kind of access
This endpoint will provide you with the number of new and lost backlinks and referring domains for the domain specified in the target field. The results will be provided for a period between the two indicated dates, and metrics will be grouped by the time range that you define: day, week, month, or year. Data from this endpoint will be especially helpful for building time-series graphs of new and lost backlinks and referring domains. It is categorised as a Read tool in the Dataforseo MCP Server, which means it retrieves data without modifying state.
backlinks_timeseries_new_lost_summary accepts 4 parameters: target, date_to, date_from, group_range. Required: target. 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_timeseries_new_lost_summary: 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_timeseries_new_lost_summary 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_timeseries_new_lost_summary 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_timeseries_new_lost_summary. 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_timeseries_new_lost_summary 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.