Enigma: Brand Revenue Search

Sizing a private business or multi-location group by card-spend revenue per location when no public financials exist.

Tool ID: enigma_brand_revenue_search

Run this action

Use the TypeScript SDK for a single call. Put ctx.tools.execute(...) inside a Play when the call should be durable, scheduled, or run across a CSV.

import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'enigma_brand_revenue_search',
  {
    "name": "Example"
  },
);

console.log(result.toolResponse.raw);

CLI

deepline tools execute enigma_brand_revenue_search --input '{
  "name": "Example"
}' --json

Example response

The SDK exposes this shape at result.toolResponse.raw. Values below are representative.

{
  "data": {
    "data": {
      "search": [
        {
          "id": "123e4567-e89b-42d3-a456-426614174000",
          "addresses": {},
          "cardTransactions": {}
        }
      ]
    },
    "errors": [
      {
        "message": "Example message",
        "path": [
          "example"
        ]
      }
    ]
  }
}

Use deepline tools get enigma_brand_revenue_search --json for the latest machine-readable contract.

Input reference

Resolves a brand or business name to its operating locations and returns 12-month projected card revenue, average ticket, transaction count, and year-over-year growth per location. Enigma matches brand names nationwide, so callers filtering to a single operator must gate results on the returned address state. The state property in this schema is applied by the Deepline runtime as a post-response filter, not as an upstream search constraint: Enigma’s searchInput.address behaves as a match hint rather than a filter and returns zero results when supplied alone.

Name	Type	Required	Default	Details
`payload.name`	`string`	Yes	—	Brand, DBA, or business name to resolve to operating locations.
`payload.state`	`string`	No	—	Optional two-letter US state code. Applied by Deepline as a post-response filter on the resolved location address, because Enigma matches brand names nationwide. Minimum length: 2. Maximum length: 2.
`payload.period`	`"1m" \| "3m" \| "12m"`	No	`"12m"`	Reporting window for the returned quantities. Allowed: `1m`, `3m`, `12m`.

Output reference

Standard tool result payload.

Name	Type	Required	Default	Details
`result.data`	`object`	Yes	—	GraphQL envelope. Enigma always returns a `data` wrapper; `search` is a list of union members narrowed to OperatingLocation by the pinned query.
`result.data.data`	`object`	No	—	—
`result.data.data.search`	`array`	No	—	—
`result.data.data.search[].id`	`string`	No	—	Enigma operating location identifier. Format: `uuid`.
`result.data.data.search[].addresses`	`object`	No	—	Relay-style connection. Deepline reads the first edge only.
`result.data.data.search[].addresses.edges`	`array`	No	—	—
`result.data.data.search[].addresses.edges[].node`	`object`	No	—	—
`result.data.data.search[].addresses.edges[].node.city`	`string \| null`	No	—	—
`result.data.data.search[].addresses.edges[].node.state`	`string \| null`	No	—	—
`result.data.data.search[].cardTransactions`	`object`	No	—	Relay-style connection of card-spend metrics. One edge per quantityType x period combination.
`result.data.data.search[].cardTransactions.edges`	`array`	No	—	—
`result.data.data.search[].cardTransactions.edges[].node`	`object`	No	—	One card-spend metric for one period. Enigma returns every quantityType/period pair as a separate node; Deepline selects the requested period and normalizes the set into scalar fields.
`result.data.data.search[].cardTransactions.edges[].node.quantityType`	`"card_revenue_amount" \| "avg_transaction_size" \| "card_transactions_count" \| "card_revenue_yoy_growth" \| "card_revenue_prior_period_growth" \| "card_customers_average_daily_count" \| "refunds_amount" \| "has_transactions"`	No	—	Metric name. Verified live 2026-08-11. Allowed: `card_revenue_amount`, `avg_transaction_size`, `card_transactions_count`, `card_revenue_yoy_growth`, `card_revenue_prior_period_growth`, `card_customers_average_daily_count`, `refunds_amount`, `has_transactions`.
`result.data.data.search[].cardTransactions.edges[].node.period`	`"1m" \| "3m" \| "12m"`	No	—	Allowed: `1m`, `3m`, `12m`.
`result.data.data.search[].cardTransactions.edges[].node.projectedQuantity`	`number \| null`	No	—	Projected value for the quantity over the period. Growth types are expressed as a ratio, not a percentage: 0.0721 means +7.21%. Format: `double`.
`result.data.data.search[].cardTransactions.edges[].node.periodStartDate`	`string \| null`	No	—	Format: `date`.
`result.data.data.search[].cardTransactions.edges[].node.periodEndDate`	`string \| null`	No	—	Format: `date`.
`result.data.errors`	`array`	No	—	—
`result.data.errors[].message`	`string`	No	—	—
`result.data.errors[].path`	`array`	No	—	—
`result.meta`	`object`	No	—	Additional response metadata (status, paging).

Deepline cost

Pricing model: fixed (per call).
Estimated Deepline credits: 0.7 per pricing unit.

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Reference

Enigma: Brand Revenue Search

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

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​CLI

​Example response

​Input reference

​Output reference

​Deepline cost

​Related documentation

Run this action

CLI

Example response

Input reference

Output reference

Deepline cost

Related documentation