> ## Documentation Index
> Fetch the complete documentation index at: https://docs.iqrush.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Review financial-services and banker perspectives

> Use measured topics and personas to examine how a firm is represented.

Answer: “How is this firm represented in the service-selection questions that matter to our audience?” For a private-equity use case, first determine whether the measurement actually includes banker-persona questions.

## Prepare the scope

Use `list_projects` and `list_runs` to choose the project and completed run. Check readiness, then call `get_results_stability` for the same run and supported filters. For each measurement, preserve the scope, returned confidence interval, and row-quality fields. See [run selection](/developers/guides/07-projects-and-runs) and [decision-grade measurement](/developers/guides/10-stability).

The JSON examples below are MCP `tools/call` parameter objects. Replace ID placeholders and sample selections with values discovered in your account.

## Establish which perspectives exist

1. Read `get_project` for the firm and competitor context.
2. Use `list_dimension_options` and `list_queries` to inspect measured topics, intents, and any `user_profile` values.
3. If a banker persona is present, use that exact value in supported measurement filters and the corresponding stability request. If it is absent, report the existing topic view and state that a banker-specific measurement is unavailable.

## Retrieve the evidence

Begin with entity-level mention coverage for the configured brand and competitors. Add `get_sentiment` and `list_mention_statements` to inspect how those mentions are framed.

```json theme={null}
{
  "name": "get_mention_score",
  "arguments": {
    "project_id": "PROJECT_ID",
    "run_id": "RUN_ID",
    "metric": "coverage",
    "aggregation_level": "entity",
    "subject": {
      "kind": "self_and_competitors"
    }
  }
}
```

The example above is unfiltered. Add a persona or topic filter only after discovering a valid value, using the [filter format](/developers/guides/08-filters-and-subjects). Keep the same selection across compatible calls.

## Build the report

Organize the report by measured service-selection topic or verified persona. Show entity coverage, intervals, sentiment scope, and representative supporting statements. Explain where the evidence is limited.

A banker perspective is an interpretation of a measured audience slice, not a new historical dataset created by asking the assistant a question. Where no such slice exists, the report can identify questions for a future measurement without claiming those questions were already tested.

Reference: [dimensions](/developers/tools/list_dimension_options), [queries](/developers/tools/list_queries), [mention scores](/developers/tools/get_mention_score), [sentiment](/developers/tools/get_sentiment).


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