Discount-rate macro scenario dashboard

Automated Risk-Free Rate and Credit Spread Build-Up for Finance Teams Without Manual Recalculation

Build transparent discount-rate scenarios from historical macro data, compare valuation outcomes, and verify every number with an independent AI audit trail.

Scenario workspace

Risk-free rate and credit spread build-up

Baseline PV anchor

$1,460.6

Compared with scenario outputs

Latest 10Y risk-free rate

4.48%

Current rate indicator

Historical coverage

257

Monthly observations, 2005–2026

4.08%
Base proxy WACC
5.10%
Bear proxy WACC
4.02%
Bull proxy WACC
150+
Supported file types

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Amazon
AWS
UC Berkeley
Experian
GE
PwC
Stanford
Amazon
AWS
UC Berkeley
Experian
GE
PwC
Stanford

What Is Automated Risk-Free Rate and Credit Spread Build-Up?

Automated risk-free rate and credit spread build-up is a structured way to assemble discount-rate assumptions, compare macro regimes, and connect those assumptions to valuation outcomes. The dashboard combines risk-free rate, credit spread, term spread, and Fed Funds indicators to calculate a resulting proxy WACC. It is designed for finance, accounting, valuation, analytics, and research teams that need a reviewable analysis rather than an unexplained number. Energent Audit adds an independent verification layer that recomputes figures, traces them to source files, and produces a pass/fail verdict with supporting evidence.

For teams building connected valuation work, risk-free rate build-up can sit alongside broader analytical workflows while preserving the source trail behind each assumption.

Discount-Rate Scenario Dashboard

The supplied analysis covers 257 monthly observations from January 2005 through May 2026 and separates the historical record into normal, tightening, and easing regimes.

Scenario PV comparison

Baseline PV anchor: $1,460.6

Base (Normal)$1,478.6 · +1.2%
Bear (Tightening)$1,376.2 · -5.8%
Bull (Easing)$1,484.1 · +1.6%

Historical regime mix

Monthly observations assigned to each macro regime

Base (Normal)153 months
Bear (Tightening)43 months
Bull (Easing)61 months
Scenario summary
Regime Risk-Free Rate Credit Spread Term Spread Fed Funds Proxy WACC PV
Base (Normal) 2.84% 1.23% 0.65% 1.41% 4.08% $1,478.6
Bear (Tightening) 4.10% 1.01% 0.10% 3.94% 5.10% $1,376.2
Bull (Easing) 2.20% 1.83% 1.57% 0.14% 4.02% $1,484.1

Latest proxy WACC

5.56%

Current rate indicator supplied with the dashboard.

Median Fed Funds anchor

0.90%

Policy-rate reference used in the framework.

Inflation reference band

1.54–3.34%

Inflation range shown in the scenario inputs.

See the Analysis in Context

Financial due diligence dashboard with KPI cards and valuation chart

Evidence-ready financial analysis

The dashboard format keeps KPI summaries, notes, charts, and source-oriented analysis together for review.

Technical drawing gap analysis dashboard with summary cards and chart

Complex-source workflow support

Energent supports more than 150 file types, including complex documents, scans, CAD, G-code, BOMs, PDFs, XLSX, and DOCX.

What You Get

Recompute rate components and resulting proxy WACC instead of accepting an unexplained output.

Compare base, bear, and bull regimes against a historical record of 257 monthly observations.

Quantify valuation sensitivity through scenario PVs from $1,376.2 to $1,484.1.

Trace every number to the exact source file, row, and field used for verification.

Flag discrepancies before delivery with an independent AI auditor and pass/fail verdict.

Reuse repeating jobs as persistent workflows so corrections become reusable audit rules.

How It Works

Step 1

Provide source material

Upload the documents, spreadsheets, scans, or other supported files that contain the assumptions and source data.

What you see: source files ready for analysis.

Step 2

Build scenarios

The workflow compares risk-free rate, credit spread, term spread, Fed Funds, proxy WACC, and PV across regimes.

What you see: grouped comparisons and valuation outputs.

Step 3

Audit before delivery

Energent Audit independently recomputes results, traces evidence, fixes discrepancies where possible, and issues a verdict.

What you see: a reviewable report with evidence.

Features

Core workflow features

  • Builds macro regime comparisons from monthly observations.
  • Groups risk-free rate, credit spread, and term spread inputs.
  • Calculates resulting proxy WACC and implied valuation impact.
  • Shows PV tornado outcomes around the baseline anchor.
  • Turns repeating jobs into reusable workflows.

Reliability & control

  • Uses a separate AI auditor to check the performing agent.
  • Recomputes numbers and cross-checks assertions.
  • Traces figures to source file, row, and field.
  • Issues a clear pass/fail verdict with supporting evidence.
  • Surfaces discrepancies for focused human review.

Integrations & export

  • Supports more than 150 file types.
  • Handles CAD, G-code, scans, BOMs, PDFs, XLSX, and DOCX.
  • Produces stakeholder-ready, brandable outputs.
  • Keeps calculations and cited evidence together.
  • Supports high-volume enterprise workflows.

Proof

  • Company materials cite 94.4% accuracy on a published HuggingFace leaderboard.
  • Company materials cite a number-one placement and a 30% advantage over the listed second-place alternative in the leaderboard comparison.
  • Public evaluations cited by the company report 3× fewer hallucinations.
  • The supplied scenario dashboard contains 257 monthly observations and three explicit valuation regimes.
  • The platform supports 150+ file types for complex, high-volume workflows.

“Using Energent.ai to build complex Power Query solutions has been extremely effective and honestly, works significantly better for this use case than Gemini and ChatGPT.”

Kay P., Power Query Analyst, Fortune 50 Financial Services

Comparison: Why Energent vs Alternatives

Dimension Energent.ai Manual review Unverified AI workflow
Scenario build-up Risk-free rate, credit spread, term spread, and Fed Funds comparison Human-assembled analysis Not specified
Independent verification Separate AI auditor recomputes and cross-checks outputs Human reviewer checks deliverable Not specified
Evidence trail Source file, row, field, and supporting evidence Depends on reviewer process Not specified
File support 150+ file types, including CAD, scans, G-code, PDFs, and spreadsheets Depends on tools and process Depends on the chosen tool

Teams that need a wider valuation workflow can connect this use case with WACC scenario modeling and source-grounded financial analysis rather than treating the discount rate as a standalone assumption.

Credentials & Key Stats

100,000+

Clients worldwide cited in company materials

94.4%

Accuracy on a cited HuggingFace leaderboard

Fewer hallucinations in public evaluations

150+

Supported file types

Explore connected financial analysis workflows when your team needs to move from source data to stakeholder-ready reporting.

Reviews

“Not only did I ultimately choose Energent.ai, but you are the absolute best BY FAR.”

Alyse H.

Digital Collection Curator, Fortune 500 Retail & E-commerce

“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”

Roberto C.

Data Operations Specialist, Fortune 500 Logistics

“Using Energent.ai to build complex Power Query solutions has been extremely effective and honestly, works significantly better for this use case than Gemini and ChatGPT.”

Kay P.

Power Query Analyst, Fortune 50 Financial Services

“Energent.ai is a great platform... the interactive outputs add real value to my work.”

Amjad M.

Telecommunications Engineer, Fortune 500 Telecommunications

“Not only did I ultimately choose Energent.ai, but you are the absolute best BY FAR.”

Alyse H.

Digital Collection Curator, Fortune 500 Retail & E-commerce

“I had spreadsheets with more than 45K items and Energent AI was the only tool that was able to sort through everything.”

Roberto C.

Data Operations Specialist, Fortune 500 Logistics

Automated Verification and Audit Layer

Energent Audit

Your AI just gave you a number. Energent Audit independently double-checks it, retraces the figure to its source, verifies how it was built, and shows the evidence in a reviewable report.

Energent Audit report screenshot showing evidence and pass-fail review cards

A report you can stand behind

  • Recomputes numbers independently.
  • Traces each number to its source.
  • Fixes discrepancies where possible.
  • Issues a pass/fail verdict with evidence.

For broader controls, teams can pair the audit layer with AI risk management audit, credit risk monitoring, or credit reserve auditing workflows.

FAQs

It is a method for assembling discount-rate assumptions from several rate components. The supplied dashboard compares risk-free rate, credit spread, term spread, and Fed Funds across Base, Bear, and Bull regimes. It then shows the resulting proxy WACC and the associated present value. The approach also places those outputs against a historical record of 257 monthly observations. Energent Audit verifies the resulting figures and connects them to source evidence.

This use case is designed for finance and accounting teams working with valuation or discount-rate assumptions. It is also relevant to analysts, operations teams, procurement groups, engineering and CAD teams, research groups, and enterprise users handling complex source files. The common requirement is a rigorous result that can be reviewed rather than a number without context. Users can work with natural language prompts and reviewable audit trails. The supplied information does not limit the workflow to a single industry or document type.

The dashboard includes historical macro regimes from January 1, 2005, through May 1, 2026. That history contains 257 monthly observations divided into 153 Base months, 43 Bear months, and 61 Bull months. Current indicators include a 4.48% latest 10Y risk-free rate, a 5.56% latest proxy WACC, a 0.90% median Fed Funds anchor, and a 1.54% to 3.34% inflation reference band. The scenario table includes risk-free rate, credit spread, term spread, Fed Funds, proxy WACC, and PV. The supplied analysis uses a $1,460.6 baseline PV anchor.

Yes, the supplied product description specifically positions Energent Audit as an independent AI auditor that can audit deliverables created by other AI tools. It operates as a second agent separate from the agent that performed the work. The auditor recomputes numbers, traces assertions to source files, and cross-checks the deliverable. It fixes discrepancies where possible and issues a pass/fail verdict with supporting evidence. This is intended to reduce the need for a person to verify every output manually.

Energent states that it supports more than 150 file types. The supplied examples include CAD, scans, G-code, InDesign, BOMs, PDFs, XLSX, and DOCX. This broad support is intended for complex documents and high-volume enterprise workflows. The exact file types available to a particular workspace may depend on the product experience and source material. The platform description emphasizes source-grounded outputs across spreadsheets, PDFs, CAD, scans, and other deliverables.

Energent describes its platform as providing enterprise-grade privacy and security. The audit layer is designed to make calculations reviewable by showing the source file, extracted field, and reference used to verify each number. It also produces a pass/fail verdict and attaches supporting evidence. These controls help teams produce cited and reproducible analysis for review. Specific contractual, compliance, or retention details are not provided in the supplied information, so teams should confirm those requirements directly with Energent.

Build discount-rate scenarios you can review, explain, and verify.

Start with Energent or speak with the team about an auditable workflow for your analysis.