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Eden Engine

CFPB Company Name Lookup for Complaint Search (CFPB Complaint Database)

cfpbccdb/suggest-company

Finds company names in the Consumer Financial Protection Bureau's Consumer Complaint Database that match a piece of text, returning the exact name strings the database uses (for example 'EQUIFAX, INC.'). Use a returned name as the company filter in CFPB Consumer Complaint Search. Text that matches no company returns an empty list. Consumer Financial Protection Bureau data as served by Eden Engine; not an official CFPB product.

activeper callv1

Price

$0.0026 per call

You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $5.

Data source

Consumer Financial Protection Bureau

Data from the Consumer Financial Protection Bureau (CFPB) Consumer Complaint Database, a U.S. federal government dataset released under CC0; credit is not required. Served by Eden Engine; not an official CFPB product.

Use it

Five steps: search, inspect, learn, run, settle. No per-tool setup; your agent reaches this tool through the meta-tools it already has.

Connect once and your AI can find and run this tool, and any other it needs.

agent
// 1. search: find the tool
omnial_search({ query: "what you need" })

// 2. inspect: price and input schema
omnial_inspect({ tool: "cfpbccdb/suggest-company" })

// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "cfpbccdb/suggest-company" })

// 4. run: price the exact call first, then run it
omnial_execute({ tool: "cfpbccdb/suggest-company", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "cfpbccdb/suggest-company", input: { /* ... */ } })

// 5. settle: the call is charged when it finishes, nothing to do

Not connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.

Pricing

Every charge this tool can incur.

ChargePrice
Per call
$0.0026
Updated
Oct 20, 2026

Input and output schemas

Input schema
input_schema.json
{
  "type": "object",
  "required": [
    "text"
  ],
  "properties": {
    "text": {
      "type": "string",
      "minLength": 1,
      "description": "Start of a company name to look for, for example 'equi'. The list can include names that merely contain the text."
    }
  },
  "additionalProperties": false
}
Output schema
output_schema.json
{
  "type": "object",
  "required": [
    "results"
  ],
  "properties": {
    "results": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Company name strings exactly as the database spells them; empty when nothing matches."
    }
  },
  "description": "The matching company names.",
  "additionalProperties": true
}