cfpb_complaint_trends

Time-series trends of complaint volume. lens=overview shows total complaints over time; lens=product shows by product; lens=company shows by company; lens=issue shows by issue. Interval can be month, quarter, or year.

SERVERLivedatalink SOURCEhttps://livedatalink.ai/mcp
Low RISK CLASS
Category Read
Parameters 71 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-blackboxfoundry-livedatalink/cfpb-complaint-trends.md

What cfpb_complaint_trends does on Livedatalink

AI agents call cfpb_complaint_trends to retrieve information from Livedatalink without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
lens string Yes Trend dimension
product string Filter to a specific product
sub_lens string Optional sub-dimension
trend_depth number Top N to track (default 5)
trend_interval string Time bucket size
date_received_max string YYYY-MM-DD upper bound
date_received_min string YYYY-MM-DD lower bound

Parameters from the server's own tool schema.

Why cfpb_complaint_trends is rated Low

This tool retrieves and queries historical complaint trend data from the CFPB (Consumer Financial Protection Bureau) database. It is a pure read-only data aggregation tool with no side effects. The user cannot modify, delete, or execute operations—only view complaint statistics over time with different analytical lenses.

From the tool's definition Tool description explicitly states it shows 'time-series trends of complaint volume' with filtering options (overview, product, company, issue). Verbs are passive analytical operations: 'shows' complaints data grouped by various dimensions.

Questions about cfpb_complaint_trends

What does the cfpb_complaint_trends tool do? +

Time-series trends of complaint volume. lens=overview shows total complaints over time; lens=product shows by product; lens=company shows by company; lens=issue shows by issue. Interval can be month, quarter, or year. It is categorised as a Read tool in the Livedatalink MCP Server, which means it retrieves data without modifying state.

What parameters does cfpb_complaint_trends accept? +

cfpb_complaint_trends accepts 7 parameters: lens, product, sub_lens, trend_depth, trend_interval, date_received_max, date_received_min. Required: lens. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on cfpb_complaint_trends? +

Register the Livedatalink MCP server in PolicyLayer and add a rule for cfpb_complaint_trends: 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 Livedatalink. Nothing to install.

What risk level is cfpb_complaint_trends? +

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

Can I rate-limit cfpb_complaint_trends? +

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

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

cfpb_complaint_trends is provided by the Livedatalink MCP server (https://livedatalink.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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