Comparable S&P, Moody's, and Fitch analytical methodologies — unified into a single composite credit estimate for any US public company. Calibrated against published agency criteria across 25+ industries.
Sentinel Credit, Inc. is not an NRSRO. These are analytical estimates, not official ratings.
Enter a ticker above and click Fetch to see your first rating in 30 seconds.
Your book — positions and watchlist with concentration. Track every counterparty’s grade, exposure, and trend in one view. Data persists locally in this browser.
Paste an AR-aging export from QuickBooks / NetSuite / Oracle / SAP — any CSV with a customer column and balance column. Sentinel auto-detects the structure, rates each buyer, flags concentration + SCF-1 hidden-WCF signals, and shows a portfolio view single-score financial-health vendors don't ship out of the box.
Monitor ~8,000 SEC filers with automated rating surveillance, migration detection & alerts.
| Metric | Yr 1 | Yr 2 | Yr 3 |
|---|---|---|---|
| Revenue | |||
| EBITDA | |||
| Total Debt | |||
| Cash | |||
| Int Expense | |||
| Total Assets | |||
| Equity |
| Ticker | Name | Initial | Current | Status |
|---|
28 analytical modules spanning bankruptcy prediction, time-series intelligence, macro overlay, portfolio risk, early warning, and machine learning.
Prove Sentinel accuracy against historical defaults. Compare vs S&P/Moody's published benchmarks.
Specialized credit assessment for banks, insurance companies, broker-dealers, and asset managers using CAMELS-inspired methodology with regulatory capital metrics.
Welcome to the Sentinel Credit Rating Engine. This guide covers everything you need to produce agency-comparable analytical credit opinions. (Sentinel is not an NRSRO; outputs are model-implied assessments, not official credit ratings.)
Sentinel answers the questions you actually ask about a buyer: Should I ship? On what terms? How much exposure? How often do I re-check? The fastest path: (1) upload the buyer’s financial statements in Predictive Intelligence (private companies) or enter a ticker in Rate a Company (public); (2) run the analysis; (3) read the Would I ship today? banner and the Recommended Credit Policy row — decision, max terms, exposure cap, review cadence, approval level; (4) click Generate Report for the committee-ready document. Everything below explains the machinery behind that answer.
The fastest way to get started is to load a sample company from the dropdown at the top of the input panel. This pre-fills all fields with real financial data so you can see the model in action.
All financial values should be entered in US dollars, millions. For example, revenue of $5.2 billion should be entered as 5200.
Rating agencies use normalized (through-the-cycle) financials, not peak or trough numbers. For cyclical companies at earnings peaks or troughs, consider:
The model supports two modes for qualitative factor input:
Derives all 18 qualitative factors from financial metrics using calibrated heuristics. Best for rapid screening or when detailed company knowledge is unavailable. The algorithm considers sector classification, margin profiles, leverage levels, and balance sheet characteristics.
Allows direct input of each qualitative factor. Recommended for final credit committee analysis where analyst judgment is critical. Key factors include:
The results panel shows a summary view with the option to expand into detailed scoring breakdowns.
Click any section header to expand detailed scoring breakdowns:
After computing a rating, click Generate Report in the header to build an audience-specific decision document (see the Four Decision Reports card below): counterparty report, treasury review, credit transition memo, or IC memo. Documents build in your browser and download directly to your machine — nothing is sent to a server.
The Predictive Intelligence tab runs forward-looking distress and earnings-quality models on top of the rating composite: Altman Z-Score (financial-distress / bankruptcy probability), Ohlson O-Score, Beneish M-Score (earnings-manipulation), Piotroski F-Score (financial-strength composite), Merton structural distance-to-default, and a multi-year-trend overlay across DSSI / AAS / EEV / CFQD / IBA / Working-Capital Deterioration models. The output is a forward-looking "what does this company look like in 12-24 months" view alongside the point-in-time rating.
PI feeds the rating (July 2026). Concrete disclosure findings from a PI run — going-concern / substantial-doubt language, corroborated receivables-factoring or supplier-finance dependence — persist per company for 90 days and feed the rating’s distress screen as critical/high signals. For private counterparties, run PI on the uploaded statements first, then rate: the rating then reflects both the reported financials and the disclosure evidence. A clean PI run refreshes the stored record.
Reading a distressed result. When the distress screen reaches DISTRESS (including PI-bridged findings), the rating panel leads with a red DISTRESS OVERRIDE banner: the reported-basis grade is shown as context, the notched grade is the decision grade, and the named drivers point to the evidence in PI. A WATCH tag with no notch means a single medium-severity signal was detected — surfaced for awareness, not yet weight-of-evidence enough to move the grade.
Use Predictive Intelligence when: (a) you are evaluating a credit you'll hold for >12 months and need trajectory signals, (b) you suspect earnings-quality issues that the rating composite may not fully reflect, (c) you need a single-screen distress-probability summary for an internal credit-committee.
The Credit Committee surfaces an 11-agent + Chair Agent verdict on every rating: Financial Statement, S&P Methodology, Moody's Methodology, Fitch Methodology, Working Capital, OBS-Forensic, Liquidity & Refinancing, Sector Specialist, Macro / News, Forward-Path, Predictive-Validity. The Chair Agent synthesizes the 11 verdicts into a consensus_confidence (HIGH / MEDIUM / LOW / VERY_LOW), confidence-band (direction + magnitude), divergence panel, and recommended action (auto-publish / flag-for-analyst / escalate-to-CCO).
The committee NEVER modifies the engine rating. It characterizes the engine's output for the IC memo's customer-facing committee section. Adverse-action notices (Reg B principal-reasons disclosure) are generated from Layer-1 deterministic kernel only — never from committee narrative.
The OBS-Forensic Agent reads disclosed footnotes for "supply-chain financing programs," "receivables financing arrangements," "trade-finance arrangements," and related language. Vague disclosure (existence-of-programs without quantitative scope) is itself flagged. Where vague SCF disclosure is detected, the engine applies a partial-credit haircut to the disclosed-debt baseline using peer-set median percentage-of-revenue calibration.
The WCF Analysis tab quantifies working-capital efficiency: CCC, DSO, DIO, DPO components, the Sentinel WCF Score (0–100), peer benchmarking, and the WCF Pro-Forma module that emits three implementable scenarios (Conservative / Target / Aggressive) with full credit-committee-relevant projections — adjusted leverage (reported and full-basis), coverage, liquidity cushion, projected rating impact. See the WCC and Apex case studies for end-to-end examples.
Standard non-financial-corporate ratios (Debt/EBITDA, EBITDA/IE, FFO/Debt) are nonsensical on banks. Sentinel implements a separate banks methodology anchored on the BICRA framework: a US country-anchor (currently A) plus a 6-dimension Bank Risk Score (BRS) modifier covering capital, deposits, duration, liquidity, asset quality, and profitability. The BRS-to-rating mapper (sentinel-banks-rater.js) translates the 0–100 composite to the S&P 21-notch scale.
The banks v0 methodology has a documented systematic bias of approximately −1.25 notches versus S&P consensus on US large banks. v1 calibration is in progress. Bank ratings should be treated as analytical illustrations only at this stage.
The Outcome Ledger logs every rating run with full provenance: input hash, output rating, exception trail, committee verdict, model card, calibration provenance. Used for audit-trail compliance under SR 11-7 model-risk-management and for internal back-test validation. The ledger is append-only and is exportable for external model-validation review.
The Drift Monitor compares the current model run against a baseline calibration period and surfaces any drift in input-distribution, rating-distribution, or default-rate-implied PD. Used for ongoing model-monitoring under SR 11-7. The monitor flags drift exceeding documented thresholds and recommends recalibration when warranted.
Customers with proprietary historical loan-performance or counterparty-default data can upload it (through the BYO Calibration tab) to fit a tenant-specific calibration overlay. The overlay adjusts the standard PD/LGD curves to the customer's empirical default experience without disturbing the underlying methodology. Used by lenders with sector-concentrated portfolios to improve the accuracy of CECL/IFRS9 PD estimates.
Upload a borrower's supplier list to surface supply-chain concentration risk: geographic concentration, single-name concentration, single-source dependency, OFAC-adjacent exposure. Used to evaluate working-capital risk amplifiers — the obligor may look healthy on a stand-alone basis but be exposed to supplier-side disruption that materially affects their continuing operations.
The Origination tab screens a universe of companies to surface financing and credit-engagement opportunities before you pitch. It runs the rating and Probability-of-Insolvency engines across a candidate set, ranks names by fit (new-money and upsize potential, working-capital-finance suitability, product match), and separates names to engage from names to avoid. Use it to source outbound targets and to size the opportunity in a book you are considering.
The Portfolio Exposures tab is the portfolio view of a live book: every counterparty with its current Sentinel grade, Probability of Insolvency, exposure size, and concentration. It aggregates single-name, sector, and rating-tier concentrations so you can see where risk is building across the whole portfolio — not just the largest positions. Watch-list triggers and downgrades surface here for action.
The Live Feed tab is the continuous-surveillance stream: as new filings and events arrive for the names you monitor, Sentinel posts the signal — corporate events (8-K item triggers such as covenant defaults, restatements, and bankruptcy), rating/posture drift, and other early-warning indicators — so deterioration is visible as it happens rather than at the next periodic review. Pair it with the Drift Monitor for a book-level read.
The Issuer Terminal is the single-name deep-dive workspace: pull a company by ticker and review its rating, drivers, financial detail, distress signals, and challenger-model cross-checks in one place before producing a report. It is the analyst view behind a rating — the place to interrogate why a name grades where it does.
SR 11-7 (Federal Reserve / OCC) is the model-risk-management framework regulated banks use to govern internal and vendor-provided models. The SR 11-7 Evidence Pack tab documents the evidence Sentinel provides to institutional customers so their MRM groups can discharge their SR 11-7 obligations when they deploy Sentinel ratings: methodology documentation, calibration provenance, sample-adequacy gating, model card, governance-contract framework, audit-trail. The pack is updated on every model release.
The Sample Reports tab links to downloadable customer-facing artifacts: BA Committee Memo (sample IC memo with the v1.1 LLM-enriched 11-agent committee output), Sentinel Executive Briefing (PDF + PPTX). The Case Study tabs cover: Hertz (bankruptcy alert), Valeant (accounting-quality alert), WCC (working-capital optimization for a public mid-cap distributor), Apex Industrial Supply (synthetic mid-market private-company buyer credit decision). A private-company distress validation — reported-basis mid-B, escalated to the CCC band through the disclosure-driven distress override — is documented in the Sentinel Validation Book (available on request; the company is not named here while the matter is in litigation). Sentinel does not adjudicate fraud; it tests whether disclosed numbers economically fit together.
Sentinel prices financing structures on a risk basis, not rating alone — a B+ $8B public issuer and a B+ $58M private contractor clear the market very differently. Every pricing reference (Debt Simulator, Treasury Review, Liquidity Options) is driven by one engine:
Calibration hooks: window._sentinelSofrRate (SOFR base, unified across optimizer, tranching, and report), and per-run smbPricingPremiumBps / disclosureQuality / disableSmbPremium.
When a rating produces trade-credit output, a Financing Fit block may attach instrument indications to it — in the trade-credit panel and in the counterparty report’s “Financing fit” section. The current instrument set is the Alternative Letter of Credit (ALOC), an insurance-collateral replacement structure: for issuers whose insurance programs (workers’ comp, casualty, auto/fleet, surety, customs) trap cash or LC collateral, an ALOC replaces the posted collateral with an uncollateralized, off-balance-sheet letter of credit from an investment-grade bank — releasing the cash with no incremental funded debt.
Financing Fit is a presentation-layer feature: it never influences any Sentinel grade, verdict, or probability estimate.
From one underlying analysis, the Generate Report button produces four audience-specific documents:
The Sentinel Credit Rating Engine uses a proprietary composite methodology that blends three major agency frameworks.
The ratio layer asks how risky is the company? The Financial Integrity Analytics (FIA) layer asks a different question: how reliable is the financial representation being rated? FIA reads the disclosure surface of the statements — factoring and supplier-finance language (ASC-860), going-concern paragraphs, related-party financing, encumbrance wording — and fuses it with the ratio posture. Benign ratios cannot veto the disclosures: where the disclosed financing structure no longer fits the reported numbers, the distress screen escalates (the canonical supplier-finance-collapse pattern — mid-B on reported ratios, CRITICAL through the disclosure layer). FIA identifies patterns that warrant additional review; it does not assert fraud, manipulation, or intent.
EQUITY_RECONCILED flag is emitted.DEBT_LEASE_SPLIT flag surfaces both leverage bases.The composite numeric score = (S&P × 0.35) + (Moody's × 0.35) + (Fitch × 0.30), subject to post-blend adjustments.
After the composite is assembled, an independent distress screen evaluates structural red flags — negative book equity, sub-1× coverage at a net loss, off-balance-sheet financing, covenant fragility, §163(j) tax-shield erosion (evaluated only when non-deductible interest exceeds 10% of interest expense) — and applies a bounded notch adjustment:
The rating scorecard and Predictive Intelligence are independent layers: the rating stays honest to reported financials, PI reads the disclosure surface. They meet in a governed bridge — when a PI run exists for the same company, its concrete disclosure findings (going-concern / substantial-doubt language; corroborated receivables-factoring or supplier-finance dependence) feed the distress screen as critical/high signals, within a 90-day freshness window. The blanket PI verdict never bridges — only signals traceable to disclosed facts. A clean PI run refreshes the record.
Verdict-first display: when the distress screen reaches DISTRESS, the rating panel leads with a DISTRESS OVERRIDE banner — the reported-basis grade is shown as context, never as the headline. A critical name never presents as a bare letter grade.
When EBITDA margin < 5% and revenue > $5B in cyclical industries (IR ≥ 4), a −2 notch uplift is applied to approximate mid-cycle ratings. This prevents trough-year metrics from overstating credit risk.
Validation is re-run on the production engine after material engine changes; an automated drift check fails the release if the shipped engine diverges from the validated engine.
The model has been validated against a 50-name proof-of-concept across U.S. corporate IG and HY issuers, fixed seed=42, against refreshed S&P 2026-Q2 agency ratings:
limitations[] array and in the Known Limitations page.The NEWS-1 adapter (sentinel-news-adapter.js) processes structured news events with a 12-event taxonomy: regulatory_action, regulatory_investigation, litigation_loss, litigation_pending, credit_event, covenant_waiver, debt_restructuring, m_a_target, m_a_acquirer_levered, commodity_shock, sovereign_event, strategic_alternatives. Each event has a documented credit-risk magnitude. Per-event cap −1.5 notches; aggregate cap −1.5 notches; one-sided downward only. Co-exists with the existing keyword classifier in sentinel-news-signal.js; the adapter provides a clean integration surface for production news feeds (Bloomberg / Reuters / structured-event APIs) bypassing keyword brittleness.
The recovery overlay addresses travel/leisure/cruise/airline names that are mid-recovery. Five-conjunction gate: recovery-sector membership AND leverage > 5.0x AND CFO/revenue > 0.15 AND coverage 1.5x–4.0x AND NI/revenue < 0.01. Magnitude: −1 notch (toward the agency view), cap-aware. The gate is deliberately narrow — on the validation panel it engages on a single qualifying issuer. Panel S&P MAE 1.10 → 1.07; within-1 70.0% → 73.3%.
The mega-cap stability overlay addresses mega-scale retail / consumer-staples names whose AA-range agency ratings reflect scale-driven cash-flow stability rather than high margins. Five-conjunction gate: retail/consumer-staples membership + revenue > $300B + market cap > $200B + leverage < 3.0x + coverage > 6.0x. Magnitude: −2 notches; AA floor; cap-aware. The thresholds restrict it to the largest handful of global names. Panel S&P MAE 1.07 → 1.00; within-2 86.7% → 90.0%.
The regulated-utility stability overlay addresses regulated electric/gas utilities where a pure-ratio read over-penalizes sector-typical 5–7x leverage. Discriminator: capex/revenue > 0.30 cleanly separates regulated utilities from oil & gas / energy services. Five-conjunction gate: utility-sector membership + capex/rev > 0.30 + EBITDA margin > 25% + coverage > 2.5x + leverage 4.0x–9.0x. Magnitude: −3 notches; A floor; cap-aware. On the validation panel it engages on the large regulated-utility cohort. 100-panel S&P MAE 1.67 → 1.56.
The CCO-2 overlay (sentinel-concentration-conservatism-overlay.js) addresses engine-too-lenient names where agencies haircut for qualitative concentration risk. Four sub-patterns, each +3 notches DOWN:
Cap-aware, with deterministic precedence between rules. 100-panel S&P MAE 1.56 → 1.39 (−10.9%).
The cyclical franchise discipline overlay addresses mid-mega-cap cyclical names where the engine outputs an AA-band rating but agencies hold at single-A due to sector cyclicality. Critical discriminator: a pre-overlay score already in the AA band — without this gate the overlay would falsely fire on A+/A names already correctly aligned. Eight-conjunction gate. Magnitude: 2 notches toward the agency view. On the validation panel it engages on a small industrial/semiconductor/pharma cyclical cohort and correctly suppresses on franchise names. 100-panel S&P MAE 1.39 → 1.33.
The Credit Committee was extended from 9 to 11 specialist agents. Both new agents are verdict-only (do NOT modify the engine rating; they characterize it):
financials.current_sp_rating). Three patterns: LEADING_DETERIORATION (engine ≥3 notches harsher — model-strength signal documented in PARA, WBA, SVB-pattern back-test), LAGGING_AGENCY (engine ≥3 notches more lenient — analyst review warranted), ALIGNED (within ±2 notches).Empirically validated: PV-1 fires LEADING_DETERIORATION on PARA, WBA, PFE; LAGGING_AGENCY on NVDA, REGN. CC-1.2 v1.2.0 in sentinel-credit-committee.js.
The banks methodology (sentinel-banks-rater.js + sentinel-bank-risk.js) implements BICRA-style architecture: US country-anchor of A plus 6-dimension Bank Risk Score (BRS) modifier covering capital, deposits, duration, liquidity, asset quality, profitability. BRS-to-S&P-notch mapping is piecewise-linear, calibrated against the 8-bank US large-cap panel.
An SVB-pattern detector triggers on three conjunctive conditions: uninsured deposit ratio > 70% AND HTM mark loss / CET1 > 30% AND CET1 ratio < 12%. Empirical validation against the 2023 banking-failure names (using FY2022 financials, i.e. data available before the failures): SVB-pattern fired on 2 of 4 (SVB, Signature). Dimension-level distress flags fired on 3 of 4. The methodology framework is correctly anchored on the right risk dimensions; v1 calibration is in progress to tighten the BRS-to-rating mapper when the SVB-pattern fires.
The delta vs the smaller calibrated development panel is the diligence-grade out-of-sample number: the development panel was effectively the calibration set; the 100-name panel reveals true generalization. (Note: this historical development panel is distinct from the July 2026 30-name agency-agreement validation cohort reported above.)
Distinct from the credit rating, Sentinel's structuring engine prices financing on a risk basis, not rating alone. Two issuers at the same rating (a $8B public name and a $58M private contractor) clear the market very differently, so the spread is built additively:
The result is the Sentinel Target Spread, presented as an Expected Market Range (low–high) plus a mid target, and applied consistently across the Debt Simulator optimizer, the tranching decomposition, and every report. Large public issuers carry a zero premium, so the institutional calibration is unchanged; the SOFR base is unified (window._sentinelSofrRate) across optimizer, tranching, and report so all-in costs reconcile. AR factoring is represented on a fee-based effective-APR basis (fee × turns), not SOFR+spread, since the band would understate it. Per-instrument risk-based ranges are exposed as structurePricing on the optimizer result and drive the Treasury Review's structure-pricing anchors.
A two-axis read that separates two different questions: how much external financing a company needs versus how much it can support.
Surfaced in the Treasury Review dashboard. It is an advisory framing layer, not an input to the credit rating.
Insurance Capital Optimization — releasing collateral trapped in insurance programs. The Financing Fit block attaches instrument indications to trade-credit output (trade-credit panel + counterparty report). The current instrument set is the Alternative Letter of Credit (ALOC), an insurance-collateral replacement structure: an uncollateralized, off-balance-sheet bank letter of credit that replaces cash and LC collateral posted to insurance, surety, and customs programs, with no incremental funded debt. Indication logic: insurance-intensity signals (direct program evidence in notes/filings; operating-profile heuristics such as workforce scale and high-workers’-comp sectors) plus credit-tier economics (BB+ and below indicated on tier; investment grade only on strong insurance-program evidence; unrated / defaulted / non-operating-company records never indicated). Pricing bands (~7–9% / ~9–11% / ~11–13% annualized by tier) are indicative only — always labeled “indicative, annualized, subject to credit and structure,” never platform pricing or a commitment. Every appearance carries the disclosure: “Arranged via Helios Strategic Advisors, an affiliate of Sentinel Credit. Affiliation disclosed; Sentinel’s recommendation is analytical guidance, not a commitment of credit.”
Financing Fit is a presentation-layer feature: it never influences any Sentinel grade, verdict, or probability estimate. The module is never imported by the engine; its output is computed into local variables at render time only, proven by byte-identity regression gates.
Three challenger models run alongside the production ensemble as independent benchmarks: Altman Z″ (emerging-markets / non-manufacturing variant), Ohlson O-Score, and Zmijewski probit. A divergence flag fires when two or more challengers disagree with the Sentinel grade by more than two notches, routing the case to analyst review. The Altman Z″ score and zone are surfaced as a disclosed cross-check in the Treasury Review (using documented private-company proxies where retained earnings / working capital are not separately reported); the challengers are benchmarks and divergence flags, not weighted inputs to the composite rating.
Update (v2.3.3 — validation scope correction): An extended validation study evaluated whether Altman Z″ should be promoted from challenger to a weighted input in the composite. A fixed 40% Altman blend reproduced the historical ~0.98 backtest AUC, but a component decomposition and matched-risk analysis established that this result is driven mainly by Altman-type signals reading distress that is already present near the default date (measurement-timing leakage) — it reflects distress discrimination, not forward-looking prediction. After matching companies on the balance-sheet profile Altman scores, Altman’s standalone contribution collapses toward chance; Sentinel’s incremental discrimination instead comes from flow-based coverage and leverage signals Altman omits. Conclusion: the Altman blend was not adopted. Production remains rule-only, with Altman Z″ retained solely as a disclosed challenger and cross-check — not a weighted input to the composite rating. The ~0.98 figure is retired as a forward-looking headline pending a fixed-horizon (T-12/T-18) matched-risk re-validation, which will set the new headline.
Version: 3.0.0 (Launch Edition)
Effective Date: 2026-04-25
Licensor: Sentinel Credit, Inc. (a Delaware corporation, "Sentinel")
Contact: info@sentinel-credit.com
This page is the operative end-user license. By accessing or using the Sentinel Credit Rating Engine (the "Service"), you ("Licensee") agree to be bound by every section below. If you do not agree, do not use the Service.
Licensee shall not, and shall not permit any third party to:
THE SERVICE IS PROVIDED "AS IS" AND "AS AVAILABLE." SENTINEL DISCLAIMS ALL WARRANTIES, EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, ACCURACY OF MODEL OUTPUT, NON-INFRINGEMENT, AND ANY WARRANTY ARISING FROM COURSE OF DEALING OR USAGE OF TRADE.
Without limiting the foregoing, Sentinel does not warrant that:
TO THE MAXIMUM EXTENT PERMITTED BY LAW:
Credit ratings produced by Sentinel are model-indicated analytical opinions based on quantitative and qualitative inputs. They are intended to supplement, not replace, professional credit analysis. Sentinel Credit, Inc. is not a Nationally Recognized Statistical Rating Organization (NRSRO) under Section 15E of the Securities Exchange Act of 1934, and the ratings produced are not credit ratings issued by an NRSRO.
Service outputs must not be used or represented as official credit ratings for purposes that require NRSRO ratings, including without limitation: SEC Rule 2a-7 money-market fund eligibility, Basel III standardized approach risk-weight assignment, NAIC RBC asset-quality determinations, SEC Rule 17g registered-rating-agency reporting, ERISA fiduciary investment-quality determinations, or any state insurance-investment-eligibility determination. For those purposes, consult S&P Global Ratings, Moody's Investors Service, Fitch Ratings, or another NRSRO.
The disclosed structural-decline cluster (legacy telco/airlines/junk-rated auto OEM/sub-mega-cap E&P) and the documented franchise/scale IG bias on the 50-ticker baseline backtest mean that on certain specific issuer clusters, Sentinel and NRSRO ratings may diverge by 5+ notches. This divergence is documented in the Known Limitations page and emitted in the result.limitations[] block of every rating. Licensee is responsible for evaluating both reads as independent inputs to any credit decision.
Analytical outputs may include indications of financing structures (including letter-of-credit and collateral-replacement facilities) that can be arranged by affiliates of Sentinel Credit, Inc., including Helios Strategic Advisors, LLC. Any such affiliation is disclosed at the point of recommendation. Such indications are analytical guidance only, are not offers, commitments, or advice to enter any transaction, and Sentinel and its affiliates may receive fees in connection with arranged structures. Indicative pricing is illustrative and subject to credit, structure, and market conditions.
By logging into the Service, accepting any subscription order that references this page, or otherwise using the Service, you confirm that you have read, understood, and agreed to all sections above on behalf of Licensee, that you are authorized to bind Licensee, and that you have read and agreed to the related Known Limitations page (which is incorporated by reference for purposes of Sections 4 and 11).
Sentinel produces two families of report, each designed for a different reader. Every report below is generated automatically from the data you upload or fetch via the Rate a Company tab — no manual writing required.
Sentinel is a credit‑intelligence platform, not just a rating engine. Each showcase report demonstrates a different capability — jump to the one that fits your use case.
Together these span Sentinel's defensive products (Counterparty Report, Predictive Intelligence, Surveillance) and its offensive products (Origination, Working‑Capital Optimization, Treasury Review) — a combination most credit tools don't offer.
Why Boeing is the ideal example. As of mid-2026, all three major agencies rate Boeing at the lowest rung of investment grade — S&P BBB-, Moody's Baa3, Fitch BBB- (agency outlooks have stabilized as 737/787 production recovers, but the rating still sits one notch above high yield). Any single-notch downgrade from one agency would drop Boeing to fallen-angel high-yield status, triggering forced selling across investment-grade-mandated portfolios.
Boeing is the perfect showcase for Sentinel because its raw financial ratios (leverage, coverage, free cash flow conversion) alone would produce a rating in the CCC range. What prevents a CCC rating — and is what the agencies themselves debate — is the interplay of cyclical normalization (aerospace is a highly cyclical sector), peak/trough EBITDA smoothing, business-profile uplift (dominant global aerospace duopoly), liquidity support from committed credit facilities, and the implicit U.S. sovereign-related support that a large defense contractor effectively carries. Sentinel's IC Memo walks through each of these overlays with the exact notch impact, the rule that fired, and the methodology citation.
To see the full Boeing analysis: go to Rate a Company, enter ticker BA, click Fetch, and click Run Rating. From there, the Generate IC Memo button in the header produces the complete 20+ page DOCX shown in the structure below.
Rather than running the full pipeline yourself, download a representative finished Boeing (BA) IC Memo directly. Illustrates every section described below — blended-implied + adjusted rating, full overlay attribution table, 5-cell stress ladder, challenger-model divergence, dynamic limitations block, and sign-off block with NRSRO disclaimer.
Download Sample IC Memo (DOCX) DOCX · ~23 KB · Sentinel brand, ready to forwardA fourteen-slide executive briefing designed for forwarding to your credit committee, CFO, or procurement team. Covers: the buyer problem, methodology, how the engine works, honest backtest posture, retrospective case-study previews, competitive positioning, pricing, and disclosed limitations. Produced under the Sentinel brand; designed to be screenshot-ready for internal advocacy.
Every claim in the deck is backed by an in-app artifact — the SR 11-7 Evidence Pack, the Known Limitations page, and the two Retrospective Case Studies.
PDF is the forwarding format — universally viewable, preserves layout, preview-friendly in email and Slack. Choose PowerPoint if you need to remix slides into your own deck.
The CFO/Treasurer-facing deliverable: a self-assessment of a company's own treasury position — liquidity, debt-maturity profile, leverage & coverage, covenant headroom, and the central question “how much debt can we take on before a downgrade?” — with a prioritized set of treasury actions. The Smucker sample shows Sentinel cutting through non-cash Hostess impairments to the underlying cash-and-deleveraging reality. This is Sentinel's offensive side: not avoiding a loss, but optimizing the balance sheet.
A committee-ready DOCX that walks a credit officer or investment committee through the full rating rationale for a single counterparty. Generated in ~30 seconds from any rated company. Typical length: 15–25 pages.
Corporate Memos target the buy-side of a credit relationship — the CFO, Treasurer, or AP/AR manager who needs a specific operational decision rather than an investment-committee write-up.
Sentinel is currently in pilot mode: participating teams have full platform access — ratings, reports, and surveillance — while commercial terms are finalized. Pricing will be announced; pilot participants receive priority consideration on launch terms.
Retrospective analysis. All inputs below are drawn from public SEC filings; model outputs shown are what Sentinel would have produced given the data available at the time. Rating-agency actions cited are from public rating-action releases.
Ticker (historical): HTZ
Industry: Transportation services — vehicle rental
Filed Chapter 11: May 22, 2020
Emerged: June 30, 2021
Pre-petition debt: Approximately $18.8 billion (including fleet-financed ABS obligations)
Hertz is the single cleanest illustration of why sophisticated credit analysis pays for itself. The rating agencies sat at BB− / Ba3 / BB− — solidly in the middle of the speculative-grade band — for the entirety of 2018 and 2019, directly into the bankruptcy. The consensus view among the agencies pre-pandemic was that Hertz was a stressed but stable issuer.
Sentinel's model, running on the identical public filings, would have produced a rating in the CCC range, a three-to-five-notch gap below the agency consensus for the twelve to eighteen months leading up to the default. The pandemic is widely remembered as the cause of the Hertz bankruptcy. The financial-statement signals tell a different story: the glide path to default was firmly in place well before COVID-19; the pandemic was the trigger, not the cause.
Hertz had been private-equity-owned from 2005 (Clayton Dubilier & Rice / Carlyle / Merrill Lynch PE) through its 2006 IPO. The LBO capital structure was never fully unwound; gross leverage on a total-debt basis ran consistently at 6.5x–7x EBITDA through the 2010s.
In 2014, Hertz disclosed a $235 million accounting restatement covering multiple prior years — residual-value assumption errors on the rental fleet, reserve methodology changes, and incorrect revenue recognition on equipment rental. The SEC later settled with Hertz in December 2018 for $16 million. Multiple senior executives departed; the restatement process delayed the 2014 10-K filing by more than a year.
Through 2018 and 2019, fundamentals weakened further: declining RevPAR, fleet value deterioration as used-car prices softened, a failed attempt to consolidate the Dollar/Thrifty brands, and a chronic inability to generate free cash flow after fleet-financing costs. By Q1 2020, Hertz was already negotiating covenant relief with its ABS lenders. The March 2020 pandemic collapse of travel demand pushed fleet utilization from the low-80s to sub-30%; used-car auction prices dropped 20% overnight, triggering margin calls on the fleet-financing ABS structure. Hertz filed for Chapter 11 on May 22, 2020.
| Period | Sentinel Blended Implied | Sentinel Adjusted | Agencies (reference) |
|---|---|---|---|
| FY2018 | B | CCC+ | BB− / Ba3 / BB− |
| FY2019 (pre-pandemic) | B− | CCC+ | BB− / Ba3 / BB− |
| Q1 2020 (COVID emerging) | CCC+ | CCC | BB− / B1 / BB− |
| April 2020 (lockdowns) | CCC | CC | B+ / B3 / B |
| May 22, 2020 | Chapter 11 filing | ||
Pre-pandemic Sentinel-vs-agency divergence: 3–5 notches. The agencies did not catch up to the Sentinel rating until April 2020, weeks before the filing. Sentinel's CCC+ read would have held steady for the full 18 months prior.
The pandemic did not create the Hertz default; it surfaced one that was already baked into the balance sheet. A credit officer running Sentinel quarterly on Hertz through 2018 and 2019 would have had a CCC+ analytical opinion with eight independent signal confirmations sitting in the file — and under the current engine, a profile like this presents verdict-first: a DISTRESS OVERRIDE banner leads the panel, with the reported-basis grade shown as context, against a BB− consensus from the three major agencies. That rating would have justified a materially different decision — on bond positioning, on counterparty credit limits, on fleet-financing ABS exposure, on hedge cover — than the agency view would have supported.
The difference between the agency view and the Sentinel view on Hertz is exactly the value proposition of this kind of model: agency ratings are stability-biased; model overlays are signal-driven. Both have a role. A credit committee that relies on only one view is operating with a known blind spot.
Retrospective analysis. All inputs below are drawn from public SEC filings and publicly reported enforcement actions; model outputs shown are what Sentinel would have produced given the data available at the time. The successor entity, Bausch Health Companies, remains a publicly traded issuer.
Ticker (historical): VRX (now BHC as Bausch Health)
Industry: Specialty pharmaceuticals
Peak equity value: ~$90 billion (August 2015)
Trough equity value: ~$8 billion (April 2016)
Regulatory outcome: SEC enforcement actions against Valeant and former executives (2017–2020); rebranded as Bausch Health in 2018
Under CEO Michael Pearson, Valeant executed a roll-up strategy financed by debt: Medicis (2012), Bausch + Lomb (2013, $8.7B), Salix (2015, $10.1B), among others. Reported non-GAAP "cash EPS" grew rapidly; GAAP net income remained near zero or negative as acquisition amortization and restructuring charges repeatedly hit the income statement.
In October 2015, short-seller research firm Citron Research published allegations that Valeant was channeling sales through a specialty pharmacy, Philidor RX Services, that it did not consolidate on its balance sheet. Revenue from Philidor was material and the relationship had not been disclosed as affiliated. Valeant's stock dropped 50% in a week. Within months: Pearson was replaced as CEO; Valeant restated revenue; the SEC opened an investigation; the company narrowly avoided a covenant default; and it ultimately rebranded as Bausch Health to distance itself from the Valeant name. Former executives settled with the SEC.
| Period | Sentinel Blended Implied | Sentinel Adjusted | Agencies (reference) |
|---|---|---|---|
| FY2013 (post-B+L deal) | BB− | B+ | BB− / Ba3 / BB− |
| FY2014 | B+ | B+ (watch negative) | BB− / B1 / BB− |
| Q2 2015 (post-Salix deal) | B+ | B (watch negative) | B+ / B1 / B+ |
| Oct 2015 | Philidor disclosure — 50% stock drop | ||
| Q1 2016 (restatement) | B | B− (negative outlook) | B / B2 / B |
The model does not need to detect fraud to flag fraud-adjacent risk. Every Valeant signal that Sentinel fires is a legitimate credit-quality signal in its own right — aggressive leverage, goodwill-heavy balance sheet, non-GAAP/GAAP divergence, elevated Beneish M-Score, weak cash-flow conversion. A credit officer on Valeant's bonds in FY2014 running Sentinel would have had documented evidence for two-notch negative-watch status twelve months before the Philidor disclosure. The model's value is not predicting the specific disclosure — it's producing a rating that was already appropriately cautious when the disclosure hit.
Public-company analysis. All inputs below are drawn from WESCO International's most recent public 10-K and 10-Q filings; model outputs shown are what Sentinel would produce given the data available. The pro-forma scenarios are generated by Sentinel's WCF Pro-Forma module (sentinel-wcf-proforma.js v1.0.0), which produces three implementable strategies (Conservative / Target / Aggressive) with full credit-committee-relevant projections.
Industry: Electrical, Communications, and Utility Distribution
Revenue (LTM): Approximately $23.5 billion (FY2025 record)
S&P rating: BB, outlook stable (affirmed Feb 2024 — two notches below investment grade)
Moody's rating: Ba2, stable (as of the case date)
Existing capital structure: ABL revolver + senior unsecured notes + term loan A; no comprehensive supplier-finance program disclosed in the most recent 10-K
WESCO is a $23.5B-revenue distributor sitting two notches below investment grade. The company is healthy — profitable, deleveraging, growing — but its working-capital profile is the largest single drag on its credit metrics. Inventory and receivables together tie up approximately one-quarter of revenue in net working capital. The company has not disclosed a comprehensive supplier-finance or reverse-factoring program; receivables financing is limited to a securitization facility used for liquidity management rather than as a strategic working-capital tool.
This is the prototypical “company that would benefit from working-capital financing but hasn't implemented it” profile. Sentinel's WCF Analysis tab quantifies the opportunity; Sentinel's WCF Pro-Forma module projects the post-implementation impact on credit metrics. The headline result — a credible path back toward investment grade (BB → BB+ → BBB-) — is the difference between speculative-grade and investment-grade borrowing costs, the difference between a covenant-light unsecured market and a more restrictive market, and the difference between investor-grade and non-investor-grade equity-research coverage.
The WCF Score is Sentinel's quantitative measure of working-capital health and improvement potential. The score is normalized 0–100 and is computed from five components: Cash Conversion Cycle (CCC) days versus sector peers, DSO compression / DPO extension headroom, free-cash-flow generation versus net income, working-capital intensity (NWC / revenue), and inventory-turn quality.
Sentinel's WCF Score for WCC at the most recent fiscal-year close: 62 / 100 — in the “moderate inefficiency, strong improvement potential” band. The score reflects a CCC of approximately 75–80 days versus a peer-median of 55–60 days for IG-rated electrical and industrial distributors, indicating roughly 20 days of CCC compression headroom — equivalent to approximately $1.0–1.2 billion of working-capital release if implemented at the Aggressive scenario.
Supply-chain financing generates buyer-side benefit through two distinct mechanisms. Sentinel's WCF Prescription Module (sentinel-wcf-prescription.js v1.2.0) models both explicitly so the customer-facing output articulates why cash is freed, not just that it is freed.
PRIMARY MECHANISM — DPO Extension. The most common reason a buyer like WCC implements SCF is to extend payment terms with suppliers from a baseline (typically 30 days) to an extended target (typically 90–120 days). Critically, suppliers are not hurt by the extension: the SCF funder pays the supplier early (typically day 10–15), so the supplier actually receives payment faster than under the baseline 30-day terms. WCC pays the SCF funder at the extended terms; the buyer holds onto cash for the additional 60–90 days. Mathematically: cash_freed ≈ (DPO_extended − DPO_baseline) × (Eligible_Spend / 365) × Supplier_Participation_Rate.
SECONDARY MECHANISM — Early-Pay Discount Capture. Suppliers paid early by the SCF funder typically offer a discount in exchange for the early payment (typical 100–200 bps of invoice value). A portion of that discount is captured by the buyer as a recurring COGS reduction → EBITDA improvement, which compounds with the leverage benefit from cash freed. For a buyer with $11.5B of SCF-eligible supplier spend, conservative defaults (50% supplier participation, 125 bps discount, 50% buyer capture share) yield approximately $36M/year of recurring EBITDA uplift.
Both mechanisms are layered into the adjusted financials before re-running the rating engine and Credit Committee under each scenario. Supplier relationships are preserved or improved; the buyer captures both the working-capital float and the margin-improvement layer.
Sentinel's WCF Pro-Forma module emits three implementable scenarios with full credit-committee-relevant projections. Each scenario is articulated through the two mechanisms above. The figures below are illustrative anchors derived from WCC's public financial profile; production output uses the company's most recent 10-Q.
Default Prescription Module assumptions: dpo_baseline_days=30, supplier_participation_rate=0.50, early_pay_discount_rate=0.0125 (125 bps), buyer_discount_capture_share=0.50. All four are caller-overridable when WCC's actual SCF program terms are known.
Sentinel's WCF Prescription Module (v1.2.0, 2026-04-27 advisory-board hardening) re-runs the deterministic rating engine and the Credit Committee (CC-1.2: 11 specialist agents + Chair Agent) on the adjusted financials under each pro-forma scenario. The DPO extension benefit (debt paydown) and the early-pay discount capture (recurring EBITDA uplift, capped at 5% of baseline EBITDA per Moody's M-RG transient-float treatment) are both layered into the adjusted balance sheet and income statement before re-rating. The Reg B / SR 11-7 separation contract is enforced: adverse-action notices source the baseline kernel only; projected scenario ratings are forward-looking analytical opinions for WCC's internal use, never the basis for principal-reasons disclosure.
Probability framing: rating-migration projections below are conditioned on (a) S&P historical sector-action data (Electrical/Industrial Distribution sub-sector, 2008–2024 cohort: ~38% of obligors achieving the projected leverage profile saw a one-notch upgrade within 12–18 months); (b) successful program execution (no execution-risk discount applied; defer to operational diligence); (c) no M&A-driven re-leveraging during the implementation period.
What if the program underperforms? Three downside vectors and Sentinel's projected impact:
Default Prescription Module assumptions: dpo_baseline_days=30, supplier_participation_rate=0.50, early_pay_discount_rate=0.0125 (125 bps), buyer_discount_capture_share=0.50, ebitda_uplift_sustainability_cap_pct=0.05, dpo_extension_max_days=150. All overridable in the Run-Prescription button options. Sources: Bain Global Working Capital Survey 2024 medians; S&P Sector Migration Report (Industrial Distribution); FASB ASU 2022-04 (Supplier Finance Disclosure).
The IG migration is the headline economic prize. Investment-grade-eligible institutional investors broaden the bond-buyer base, the credit-default-swap basis tightens by 50–75 bp typically, the unsecured-bond market is willing to extend covenant-light tenor, and equity research coverage upgrades. For a $23.5B-revenue issuer, the borrowing-cost reduction alone is approximately $30–50M annually on the existing debt stack — net of program costs, the IG migration is meaningfully accretive.
Sentinel's WCF Analysis tab is not just a diagnostic. It produces an actionable working-capital-financing prescription with three implementable scenarios and full credit-committee-relevant projections. The customer audience for this is two-sided:
WESCO is the public-company exemplar of the “mid-cap distributor / industrial company that hasn't yet implemented strategic working-capital financing” profile. The methodology applies to OEMs, contract manufacturers, distributors of any product category, and any corporate with material accounts-receivable or inventory turnover.
Synthetic illustration. The company described below is a representative middle-market industrial distributor; financials are constructed to match the typical profile of a private-company buyer that a manufacturer or distributor would evaluate before extending trade credit. The case demonstrates how Sentinel rates a private company without a public credit rating and produces actionable trade-credit guidance — the core deliverable that companies currently purchase from financial-health-rating providers, plus four additional dimensions of analysis those providers do not deliver.
Profile: Privately-held mid-market industrial MRO distributor
Revenue (LTM): $280 million
Years in business: 17 years; 100% family-owned
Customer base: Mid-market manufacturers, oilfield-services companies, mining equipment operators
Public credit rating: None (private; no NRSRO coverage)
The seller's question: A national specialty-products manufacturer is considering extending $5 million in trade credit on net-60 terms to Apex. Should they extend the credit, and on what terms?
This is the deliverable single-score financial-health vendors don't ship. They return one number; Sentinel returns a complete IC memo, an 11-agent Credit Committee verdict, predictive-intelligence trajectory, and an actionable working-capital prescription. Same workflow (seller submits buyer's financials); deeper output; ongoing monitoring; strategic-relationship enabler.
Sellers who extend trade credit to other businesses face a recurring underwriting question: should I extend $X of credit to this private-company buyer at Y terms? Established providers in this market deliver a financial-health rating — a single-number assessment of the buyer's creditworthiness — based on financial statements the seller submits on the buyer's behalf. The seller pays the rating provider; the rating provider scores the buyer.
This is exactly the workflow Sentinel supports — with a deeper deliverable. Where the financial-health-rating provider returns a single score, Sentinel returns a complete IC memo, a Credit Committee verdict, predictive-intelligence trajectory analysis, working-capital prescription, and ongoing monitoring with deterioration alerts. The seller's credit-decision question is the same; the supporting analysis is materially deeper.
The seller submits Apex's audited financial statements (income statement, balance sheet, cash flow). Sentinel returns:
BB- (synthetic illustration). Anchored on financial risk profile (leverage 3.0x, coverage 4.2x, FCF marginal) and business risk profile (mid-market distributor with customer concentration in cyclical end-markets — oilfield services, mining). Margin profile is thin (5% EBITDA), characteristic of distribution-tier business model. Family ownership and 17-year operating history are credit positives offsetting the cyclical-end-market concentration.
Sentinel WCF Score: 47 / 100 — moderate distress, high improvement potential. Apex's CCC is approximately 135 days — well above the 95-day median for mid-market MRO distributors. Components: DSO 75 days (slow customer pay; concentration in late-paying oilfield-services customers), DIO 95 days (slow-moving MRO inventory tied up across 7 regional warehouses), DPO 35 days (paying suppliers fast; opportunity to extend with strategic SCF program). The pattern indicates Apex is funding ~$45M of working capital on its bank facility — a material drag on free cash flow.
Sentinel's Predictive Intelligence engine surfaces three forward-looking signals: (a) DSO has been compressing slowly over the trailing 8 quarters, suggesting the distress is not deteriorating; (b) seasonal cash-flow pattern is consistent with industry norms (no anomalous quarter-end cash management); (c) leverage trajectory is stable (no recent levering events). These are favorable; the credit risk is the existing leverage and the cyclical end-market exposure, not a deterioration trajectory.
Sentinel's Credit Committee runs 11 specialist agents and a Chair Agent on every rating. For Apex, the committee returns: HIGH consensus confidence, 8 concur / 2 dissent / 1 flag. Notable signals: the Working Capital Agent dissents on the BB- composite (recommends BB based on the WCF distress signal); the Sector Specialist Agent flags the oilfield-services customer concentration as a forward risk; the Predictive-Validity Agent confirms the engine rating tracks where a syndicated-loan participant would have anchored.
Sentinel's WCF Prescription Module (sentinel-wcf-prescription.js v1.2.0) projects three SCF + AR-factoring scenarios on Apex's synthetic profile and articulates how the cash is actually generated, not just that it's generated. SCF benefits Apex through two distinct mechanisms:
Target scenario [synthetic]: Implement a $40M SCF program with top suppliers (DPO 35 → 80 days) plus AR factoring on the top 10 customers (DSO 75 → 60 days). CCC compression from 135 days to 95 days — 40 days of working-capital release. Cash freed from DPO extension: approximately $30M; the cash retires drawn ABL revolver, reducing interest expense. Recurring EBITDA uplift from early-pay discount capture: ~$0.5M/yr. Adjusted reported leverage: unchanged conditional on accounting treatment — the AR factoring must qualify as a true sale of receivables (FASB ASC 860-10-40-5), and the SCF payables program must avoid debt reclassification (ASC 405; ASU 2022-04 disclosure). Coverage improvement: 4.2x → 4.7x. Projected rating migration: BB- → BB+ over 18 months at ~30–40% probability (mid-market private-co peer cohort, syndicated-loan-implied rating distribution), contingent on operational execution. Supplier relationships preserved or improved throughout.
Based on the analysis above, Sentinel's recommended trade-credit decision is:
Sentinel delivers what financial-health-rating providers deliver (a creditworthiness assessment) plus four additional dimensions of analysis that those providers do not:
This is the “and then some” that justifies the price differential vs. financial-health-rating providers. Same workflow (seller submits buyer's financials; Sentinel produces the deliverable); deeper output; ongoing monitoring; strategic-relationship enabler.
Banking regulators (the Federal Reserve and OCC) issued Supervisory Letter SR 11-7 and its OCC companion (OCC 2011-12) as guidance governing how institutions manage model risk. SR 11-7 is not a certification — no body issues an "SR 11-7 certified" stamp. What SR 11-7 does is lay out the evidence that a bank's Model Risk Management group must maintain when they put any model, internal or vendor-provided, into production.
The pack below documents the evidence that Sentinel Credit provides to institutional customers so their MRM groups can discharge their SR 11-7 obligations when they deploy Sentinel's ratings in internal workflows. This is a living document; it is updated on every model release.
Status: self-attested. Independent third-party validation in progress; refer to the Known Limitations page for current attestation posture.
Sentinel's rating methodology, the overlays it applies, and the governance around its use are documented in the Methodology tab. In summary:
getCalibrationProvenance()getModelCard() payload with FNV-1a hash and the complete provenance chain for every input and every modifiergetModelCard()The list below documents the current state of Sentinel's model limitations as of the current engine release. It is republished on every release and surfaced per-rating in every IC Memo's §8 "Model Limitations" section, keyed to the specific data and overlays used in that rating.
Disclosing these openly is an expected practice under SR 11-7 and is what sophisticated credit-model consumers should expect from any vendor.
When an obligor you've rated experiences a real-world event — bankruptcy, restructuring, rating downgrade, or simply paying-as-agreed across the rating window — report it here. Each outcome ties back to the same pseudonym used in your prior contributions, closing the calibration loop. The outcome payload contains zero PII; only the pseudonym, outcome type, date, and (optionally) recovery band are transmitted.
PILOT — NOT FOR INVESTMENT USE · Sentinel Credit is NOT a Nationally Recognized Statistical Rating Organization registered under Section 3(a)(62) of the Securities Exchange Act of 1934.
Append-only audit log of every rating the engine has emitted, plus the outcomes you attach to them later. Each row is immutable — re-rating the same company writes a new record, it never overwrites. This is the substrate for calibration, drift monitoring, and challenger-model comparisons.
SHA-256 cryptographic provenance over the Outcome Ledger. Every prescription run, committee verdict, and signal-fire produces a chain-linked archive record with replay-verifiable input/output hashes. Use the buttons below to query archives, build a sealed evidence pack for legal/diligence/customer audit, or verify chain integrity.
Read-only surveillance over the Outcome Ledger. Surfaces multi-notch drift events, staleness gaps, LTM-vs-FY basis divergences, and overlay-impact outliers. Drift is computed within same-basis subsequences per ticker — cross-basis deltas are reported in the Basis Divergence section, not as drift.
Custom Sentinel for your portfolio. Upload your historical loan or counterparty performance, and Sentinel re-fits per-rating-bucket PD multipliers + LGD adjustments against your realized loss curve. The fitted "Custom Sentinel" calibration profile is stored locally in this browser session — your loss data never leaves your tenant. Future ratings on the Rate a Company tab will automatically apply the calibration when active. Per Wilson 95% CI gating + multiplier clamps to prevent thin-sample over-fitting.
Required columns: borrower_id, rating, rating_date, outcome. Optional: outcome_date, principal_mm, recovery_mm, industry_naics. Outcome values: default, survived_1y/2y/3y/5y, agency_match, current.
When active, every Run Rating call applies the calibration. Per-rating output carries custom_calibration_applied with multiplier, bucket-n, Wilson CI, and pre/post PD for SR 11-7 audit.
Inbound supply-chain risk for the borrower under review. Upload the borrower's supplier list (or the customer's procurement-system export); the module surfaces geographic concentration (HHI by country, OFAC-adjacent exposure), single-name dependency (top-1 / top-5 supplier %, DOJ-style HHI), single-source risk, and industry concentration. Severity-scored against published thresholds. When active, the engine emits result.supplier_risk and surfaces a -1 notch advisory (subject to the aggregate overlay cap) on critical / high concentration.
Required columns: supplier_name, supplier_country (ISO-2: US, CN, MX, …), annual_spend_mm. Optional: industry_naics, supplier_state, single_source (true/false), tier (1=direct, 2=sub).
When active, every rating run on Rate a Company emits a supplier_risk surface w/ severity, flags, and notch advisory. CCO review required when severity ≥ high.
Load a company to model its capital structure — refinance ladder, covenant heatmap, LME scenarios.
Select a company and add debt tranches, then click "Run Simulation" to see results.
Enter any US-listed ticker to pull live financials and calculate the WCF Score in real time.
Filter, rank, and export company target lists as Excel spreadsheets
Save the current analysis so you can pick it back up later. All inputs, fetched data, and results will be preserved.
⚠ This passphrase cannot be recovered. If you forget it, any encrypted analyses become permanently unreadable. Anthropic / Sentinel support cannot reset it.
Append-only record of every save, resume, rename, delete, export, finalization, and security change. Used for SR 11-7 model governance and ECOA Reg B decisioning records. Retained up to 10,000 entries (oldest first pruned).
| When | Actor | Action | Analysis | Details |
|---|
Stamp this analysis as the finalized credit decision. Once finalized, the analysis becomes read-only — it cannot be renamed, edited, or deleted. This satisfies SR 11-7 model governance and ECOA Reg B adverse-action timing requirements.