getEarningsSurprisesBulk

SERVERFinancial Modeling Prep SOURCEcfocoder/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/cfocoder-financial-modeling-prep-mcp-server/getearningssurprisesbulk.md

WHAT IT DOES

What getEarningsSurprisesBulk does on Financial Modeling Prep

AI agents call getEarningsSurprisesBulk to retrieve information from Financial Modeling Prep 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
`year`	string	—	Year to get earnings surprises for

Parameters from the server's own tool schema.

RISK

Why getEarningsSurprisesBulk is rated Low

This tool retrieves historical earnings surprise data (actual vs. estimated EPS) for analysis purposes. It performs passive data retrieval with no side effects, modifications, or financial operations. While the data could inform investment decisions, the tool itself only reads and returns existing financial data without executing trades, moving money, or modifying any records.

From the tool's definition Tool name contains 'get' and description states it 'allows users to retrieve bulk data' and 'provides actual versus estimated earnings per share (EPS)' with no mention of modifications, deletions, or financial transactions.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs getEarningsSurprisesBulk safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Financial Modeling Prep, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For getEarningsSurprisesBulk, this is the rule to start with:

getEarningsSurprisesBulk Allowed

getEarningsSurprisesBulk is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "getEarningsSurprisesBulk": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Financial Modeling Prep, apply this rule, and every getEarningsSurprisesBulk call is checked against it from then on.

FAQ

Questions about getEarningsSurprisesBulk

What does the getEarningsSurprisesBulk tool do? +

The Earnings Surprises Bulk API allows users to retrieve bulk data on annual earnings surprises, enabling quick analysis of which companies have beaten, missed, or met their earnings estimates. This API provides actual versus estimated earnings per share (EPS) for multiple companies at once, offering valuable insights for investors and analysts. It is categorised as a Read tool in the Financial Modeling Prep MCP Server, which means it retrieves data without modifying state.

What parameters does getEarningsSurprisesBulk accept? +

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

How do I enforce a policy on getEarningsSurprisesBulk? +

Register the Financial Modeling Prep MCP server in PolicyLayer and add a rule for getEarningsSurprisesBulk: 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. Nothing to install.

What risk level is getEarningsSurprisesBulk? +

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

Can I rate-limit getEarningsSurprisesBulk? +

Yes. Add a rate_limit block to the getEarningsSurprisesBulk 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 getEarningsSurprisesBulk completely? +

Set action: deny in the PolicyLayer policy for getEarningsSurprisesBulk. 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 getEarningsSurprisesBulk? +

getEarningsSurprisesBulk is provided by the Financial Modeling Prep MCP server (cfocoder/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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