getPriceTargetConsensus

Access analysts' consensus price targets with the FMP Price Target Consensus API. This API provides high, low, median, and consensus price targets for stocks, offering investors a comprehensive view of market expectations for future stock prices.

SERVERFinancial Modeling Prep (FMP) Server SOURCEimbenrabi/financial-modeling-prep-mcp-server
Low RISK CLASS
Category Read
Parameters 10 required
Recommended Allowedsee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/imbenrabi-financial-modeling-prep-mcp-server/getpricetargetconsensus.md

What getPriceTargetConsensus does on Financial Modeling Prep (FMP) Server

AI agents call getPriceTargetConsensus to retrieve information from Financial Modeling Prep (FMP) Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
symbol string Stock symbol

Parameters from the server's own tool schema.

Why getPriceTargetConsensus is rated Low

This tool retrieves and queries existing analyst data (price targets and consensus figures). It does not execute trades, modify portfolios, delete data, or commit financial obligations. While it provides investment-related information that could inform trading decisions, the tool itself only performs a read operation on market intelligence data.

From the tool's definition getPriceTargetConsensus provides access to analysts' consensus price targets—'high, low, median, and consensus price targets for stocks'—which are retrieved data points with no side effects, creation, modification, deletion, or financial transactions.

Questions about getPriceTargetConsensus

What does the getPriceTargetConsensus tool do? +

Access analysts' consensus price targets with the FMP Price Target Consensus API. This API provides high, low, median, and consensus price targets for stocks, offering investors a comprehensive view of market expectations for future stock prices. It is categorised as a Read tool in the Financial Modeling Prep (FMP) Server MCP Server, which means it retrieves data without modifying state.

What parameters does getPriceTargetConsensus accept? +

getPriceTargetConsensus accepts 1 parameter: symbol. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on getPriceTargetConsensus? +

Register the Financial Modeling Prep (FMP) Server MCP server in PolicyLayer and add a rule for getPriceTargetConsensus: 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 Financial Modeling Prep (FMP) Server . Nothing to install.

What risk level is getPriceTargetConsensus? +

getPriceTargetConsensus is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit getPriceTargetConsensus? +

Yes. Add a rate_limit block to the getPriceTargetConsensus 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.

How do I block getPriceTargetConsensus completely? +

Set action: deny in the PolicyLayer policy for getPriceTargetConsensus. 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.

What MCP server provides getPriceTargetConsensus? +

getPriceTargetConsensus is provided by the Financial Modeling Prep (FMP) Server MCP server (imbenrabi/financial-modeling-prep-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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