Product vision

What the terminal will feel like.

Illustrative mockups of the Rebelative Terminal — built on synthetic data aligned to our methodology. Fictional issuer names (RetailCo, TechFin, CloudCo …).

Research Agent

Your alt-credit research analyst, on tap.

Natural-language instructions become planned, multi-step research and repeatable reports — grounded in the Rebelative signal library, issuer universe, and historical OAS panel.

rebelative · research agent

Rebel — your alt-credit research analyst, on tap

Natural-language instructions → planned multi-step research → repeatable reports. Grounded in Rebelative's signal library, issuer universe, and historical OAS panel.

24/7 · always-on plans → schedules → backfills audit trail: sources + code Excel / Snowflake / PDF
REBEL · research console

user@creditfundco:~$

rebel> Rebel, schedule Software Sector QOQ Est Revenue Tracking report

and correlations to the daily OAS changes.

[rebel] understood. drafting plan…

  1. 1. parse scope sector=Software · universe=12 issuers · period=Q1 FY26, rolling 8q
  2. 2. identify issuers CloudCo, TechFin, DataWareCo, SecOpsCo, CrmCo, … (resolve to internal IDs)
  3. 3. assemble signals card spend, app DAU, job postings, web traffic, cloud consumption proxy
  4. 4. nowcast QOQ revenue Rebelative nowcast → vs street consensus (IBES) · track MAPE + IC
  5. 5. join OAS panel 5Y IG/HY OAS daily, 2018–2026 · lag 0/1/3/5d · rolling 60d correlation
  6. 6. compute correlations Spearman(QOQ est rev, ΔOAS) per issuer, per lag, + sector aggregate
  7. 7. schedule + delivery every Mon 07:00 ET; push to Excel + Snowflake share; PDF summary to Slack

[rebel] sample preview — Software sector, last 8q (Spearman, 3d lag):

issuerQOQ nowcastρ(rev,ΔOAS)signifOAS 90d
CloudCo +12.4% -0.62 p<0.01
TechFin +8.1% -0.48 p<0.05
DataWareCo +3.2% -0.21 n.s.
SecOpsCo -1.4% +0.39 p<0.05
CrmCo +5.7% -0.33 p<0.10

✓ scheduled software_sector_qoq_rev_oas.report

recurrence: weekly Mon 07:00 ET · output: XLSX + Snowflake + PDF · first run: 27 Apr · subscribers: Max, Jane, …

[rebel] I'll also watch for regime shifts — if ρ(rev, ΔOAS) weakens > 0.15 in any 60d window, I'll flag you.

sources used: card-spend panel, job-postings, app DAU, DB-tier capex proxy, TRACE ΔOAS.

rebel> _(type to continue the thread, or /schedule /backtest /watchlist /export)

● agent: ready model: rebel-analyst-v1.3 · tools: 27 · signals feed: ctx 44.2k · latency: 0.8s · cost est: $0.00 / query

Scheduled jobs — this analyst, this week

  • SoftSect QOQ Rev + OAS ρ

    Mon 07:00

    new
  • RetailCo earnings radar

    Thu 06:30 · one-off

    queued
  • HY BB-/B+ distress scan

    Daily 07:00 · daily

    running
  • Private-credit peer comps

    Fri 15:00 · weekly

    drafted
  • Cross-issuer nowcast drift

    Daily 16:00 · daily

    running
  • Portfolio IC attribution

    1st of mo · monthly

    scheduled

all jobs re-runnable on demand · versioned prompts + code

Today's deliverables (auto-generated 07:00)

  • XLSX softsect_qoq_rev.xlsx 14:37
  • PDF distress_watchlist_2026-04-22.pdf 07:02
  • SQL rebel.software_qoq_rev_v7 14:37
  • SLK #credit-research · digest 07:05

Format 3 — Research Agent

Each prompt persists as a re-runnable, versioned job. Rebel plans → pulls signals → computes → schedules → delivers, with full source + code audit trail.

A facilitation layer over the Rebelative engine — not the source of truth.
Launch target: design-partner beta Q4 2026 · GA Q2 2027

v0.9 preview · illustrative mock · synthetic data

Factor Library

Factor performance, audited end to end.

Out-of-sample P&L, rank IC, and regime robustness for every signal — published per release so quants can trust the factor before they trade it.

rebelative · factor library

Factor performance, audited end to end.

Out-of-sample P&L, rank IC, and regime robustness for every signal — published per release.

Long-Short Sharpe

1.38

2021–2026 OOS

Annualized Return

11.4%

net of 3bps/$

Max DD

−3.9%

Jan 2023 (rate shock)

IC (rank Spearman)

0.17

6mo fwd excess ret

Beta to CDX HY

0.07

market-neutral

Capacity est.

$1.8B

bef. 40% slip

REBEL · research console

user@creditfundco:~$

rebel> Explain factor performance on this page and export the quintile breakdown.

[rebel] understood. drafting plan…

  1. 1. load factor RB-05 cross-sectional RV · OOS 2021–2026
  2. 2. audit stats Sharpe, IC, regime table on screen
  3. 3. export Excel + SQL view of underlying issuer-months

rebel> _(type to continue — runs on this report)

● agent: ready model: rebel-analyst-v1.3 · context: current page

Long-Short Factor — Cumulative P&L (OOS, 2021-01 → 2026-04)

1.125 1.100 1.075 1.050 1.025 1.000 0.975 2023 rate shock 202120222023202420252026 Rebelative LS factor Sector-beta matched HY CDX HY index

Return by risk-score quintile — monotonic + stable

Spread = 9.4% (Q1 − Q5) · t-stat 5.8 · n = 2,340 issuer-months

5.0 2.5 0.0 -2.5 -5.0 -7.5 Q1 (low risk) Q2 Q3 Q4 Q5 (high risk) 6-mo fwd excess return, %

Rolling 6-month IC + regime robustness

0.25 0.20 0.15 0.10 0.05 0.00 IC 0.05 usable threshold 20192020202120222023202420252026 Spearman IC

Performance by regime — diligence-ready breakdown

Regime Window Ann. Ret Sharpe IC Max DD Hit rate
All OOS 2021-01 → 2026-04 11.4% 1.38 0.17 −3.9% 63%
COVID shock 2020-03 → 2020-09 18.2% 1.92 0.21 −2.6% 71%
Post-COVID rally 2020-10 → 2021-12 9.3% 1.21 0.14 −2.1% 59%
2022 rate shock 2022-01 → 2022-12 8.1% 1.02 0.12 −3.1% 58%
2023 bank stress 2023-03 → 2023-06 12.7% 1.44 0.19 −1.8% 65%
2024-25 normaliz. 2024-01 → 2025-12 10.8% 1.33 0.16 −2.4% 62%
2026 YTD 2026-01 → 2026-04 +3.4% 1.47 0.18 −0.9% 64%

Signal positive and statistically significant across every regime — incl. COVID, 2022 rate shock, 2023 banking stress. Worst drawdown: −3.9% in Jan 2023 (recovered in 11 weeks). Factor is net of 3bps/$ round-trip cost and 40% turnover.

v0.9 preview · illustrative mock · synthetic data

Distress Watchlist

The names that meet your criteria — ranked, hourly.

Screen the full HY + private-credit panel by score, momentum, and distress state, then see exactly what a PM does with the output.

rebelative · distress watchlist
Universe: HY + Priv CreditSector: AllScore: > 75Δ 30d: +3Distress: Flag + WatchCoverage: Full panel ▶ Run screen

Distress Watchlist — 17 issuers meet criteria

Issuer Class Sector Score Δ30d Distress Rating FC Nowcast Top signal
RetailCo HY Consumer D. 92.4 +5.1 DISTRESS B3→Caa1 Rev −4.2% Vendor DPO↑
FoodMfgCo HY Staples 89.1 +4.3 DISTRESS B2→B3 Card −5.8% Card↓
RestaurantGrp Private Restaurants 87.6 +3.9 DISTRESS =B− Rev −2.6% Receipts↓
AutoPartsCo HY Auto 85.8 +3.3 DISTRESS B3 (hold) Rev −0.8% VIN reg↓
HomeSvcRollup Private Home Svc 83.4 +2.8 WATCH =B− Rev −1.1% Spend↓
ApparelBrandCo HY Consumer D. 81.9 +2.5 WATCH B2→B3 (60%) Rev −1.8% Traffic↓
CasinoOpCo HY Leisure 80.2 +2.2 WATCH B1 (hold) Rev +0.3% Visits↓
GymChainCo HY Leisure 79.4 +2.0 WATCH B3 (hold) Rev −0.4% DAU↓ 9%
ClinicNetwork Private Healthcare 78.8 +1.9 WATCH =BB− Rev +0.6% Supplier↑
SpecialtyDist Private Distribution 77.6 +1.6 WATCH =B+ Rev +0.4% Orders↓
ConsumerGoods HY Staples 76.8 +1.4 WATCH B2 (hold) Rev +0.1% Freight↑

Coverage: 11,284 issuers · 1,047 HY · 10,237 private-credit borrowers · updated hourly

REBEL · research console

user@creditfundco:~$

rebel> Explain why RetailCo is flagged and add top names to my distress watchlist.

[rebel] understood. drafting plan…

  1. 1. run screen HY + private · score > 75 · distress flag
  2. 2. rank movers Δ30d score · sector heatmap
  3. 3. deliver watchlist XLSX + alert schedule

rebel> _(type to continue — runs on this report)

● agent: ready model: rebel-analyst-v1.3 · context: current page

Market-Share Drift — Consumer Discretionary

22 20 18 16 14 Jan '24Jul '24Jan '25Jul '25Jan '26 RetailCo Peer A

Distress-rate heatmap — sector × vintage

Cons. D. 3%5%26%0%31%
Staples 15%7%3%11%2%
Auto 7%13%7%22%6%
Leisure 12%13%7%12%0%
Health. 4%9%3%3%15%
Distrib. 18%10%15%18%7%
20192020202120222023
v0.9 preview · illustrative mock · synthetic data

Backtests

Reproducible evidence, not a black box.

Rolling IC, rating-action prediction, and nowcast accuracy — with a plain-language description of how the model is built.

rebelative · backtests

Reproducible evidence, not a black box.

Rolling IC, rating-action prediction, and nowcast accuracy — methodology on every release.

Rank IC (Spearman)

0.17

vs 0.03 Moody's PD (benchmark)

Portfolio Sharpe

1.38

long-short, 90d rebal

Hit-rate (direction)

62.4%

rating action 6mo FW

Distress-flag lead

8.2 wks

median vs agency action

Coverage (issuers)

11,284

1,047 HY + 10.2k priv

Data freshness

< 24h

daily model refresh

REBEL · research console

user@creditfundco:~$

rebel> Summarize IC stability and export the confusion matrix for this backtest page.

[rebel] understood. drafting plan…

  1. 1. load backtest RMM v0.9.1 · 6mo rating-action horizon
  2. 2. compare Rebelative IC vs Moody's PD benchmark
  3. 3. export methodology pack + SQL feature lineage

rebel> _(type to continue — runs on this report)

● agent: ready model: rebel-analyst-v1.3 · context: current page

Information Coefficient — rolling 90-day Spearman

IC stable above 0.12 for 3+ years — survives COVID + 2022 rate-shock regimes

0.30.20.10.0 IC 0.05 usable threshold 202120222023202420252026 Rank IC Rebelative RMMMoody's PD benchmark

Rating-action prediction — 6-month horizon

Hit rate 62.4%

DownHoldUp
Down 4628314
Hold 71182094
Up 2297398

Predicted →

↑ Actual

Precision by call-type

Distress flag → actual default 71%
Downgrade FC → actual down 64%
Upgrade FC → actual up 58%
Hold FC → no action 81%

Nowcast MAPE vs quarter completeness

At 50% completeness: MAPE 2.8 vs consensus 5.1 → 45% edge

98765432 20406080100 Quarter completeness, % MAPE (% abs. rev-growth error) Rebelative RMM nowcastSell-side consensus

Methodology — how the model is built

Panel
Rolling retained cohort panel (2-quarter chained), ticker × date. 11,284 issuers · 2018– onward.
Inputs
8 alt-data sources — invoices, email receipts, card, SaaS renewals, VIN, foot-traffic, clickstream, property.
Transform
Per source: z-score within sector × size bucket, then residualize vs macro. Gradient-boosted ensemble.
Target
y = 6-month ahead rating action (Moody's + S&P) + realized rev-growth (10-Q / 10-K). OOT CV, 4 folds.
Validation
Spearman IC, Sharpe of long-short factor-mimicking portfolio, distress lead-time, precision by call-type.
Governance
White-paper + methodology updates quarterly. All features + transforms shipped to client data-sci teams.
v0.9 preview · illustrative mock · synthetic data

Portfolio

Your book, scored and explained.

Portfolio-level risk, the issuers moving most this week, sector heatmaps, and a drill-down that attributes every score to its alt-data drivers.

rebelative · portfolio

Your book, scored and explained.

HY Opportunistic · 87 issuers · portfolio risk and movers this week.

Portfolio Risk Score

62.4

+1.8 QoQ

Issuers Flagged Distress

4 / 87

2 new this wk

Rating Migration Signal

−1.2

net downgrade bias

Nowcast vs Consensus

+2.1%

beating street

Model Confidence

7.8 / 10

stable

REBEL · research console

user@creditfundco:~$

rebel> Summarize top risk movers on this book and export sector heatmap.

[rebel] understood. drafting plan…

  1. 1. load book HY Opportunistic · 87 issuers
  2. 2. rank Δ score 30d · distress flags
  3. 3. export portfolio overlay XLSX

rebel> _(type to continue — runs on this report)

● agent: ready model: rebel-analyst-v1.3 · context: current page

Top Risk-Score Movers — HY Opportunistic Book

IssuerSector Risk ScoreΔ Score Rating FCNowcast Distress
RetailCo Cons. Disc. 92.4 +5.1 B3→Caa1 85% Rev −4.2% FLAG
FoodMfgCo Cons. Stap. 81.7 +3.8 B2→B3 72% Rev −1.9% WATCH
AutoPartsCo Auto 78.3 +2.9 B3 hold 68% Rev −0.8% WATCH
LogisticsCo Industrials 64.1 +0.4 B1 hold 81% Rev +0.6%
HealthMedCo Healthcare 56.9 −0.3 BB+ hold 90% Rev +1.7%
TechFin Fintech 49.2 −2.6 BB→BB+ 64% Rev +3.4%
EnergyCo Energy 41.8 −3.9 BB→BB 70% Rev +4.9%
CloudCo Tech / SaaS 34.5 −1.2 BBB- hold 88% Rev +5.2%

Sector Risk Heatmap — 90d score change

30d60d6m
Cons. D. +3.0+3.6+3.9
Energy -4.9-4.0-2.5
Fintech -2.8-0.2-0.3
Indust. +0.1+0.7-1.3
Health. +0.6+1.3-0.1
Staples -0.3+1.8-0.2
Auto +1.2+2.6+0.6
Tech +0.6+3.2-0.6

Portfolio-Level Revenue Nowcast vs Consensus (rolling)

864 JanMarMayJulSepNovJan Street consensusRebelative nowcastRealized (lag) Rev growth %, YoY

Issuer Deep-Dive — Drill into any borrower from the table above

92.4

RetailCo — risk score

RetailCo — score led OAS by ~7 weeks

Score widened first Risk score OAS bps 2024-Q1 → 2025-Q3

Why RetailCo is flagged — factor attribution

Payment delinq.
+2.8σ
Email receipts
+2.1σ
B2B vendor spend
+1.7σ
SaaS renewal churn
+1.2σ
Store POS
+0.9σ
Macro beta
+0.4σ

Contribution to risk-score elevation (z)

v0.9 preview · illustrative mock · synthetic data

Earnings Nowcast

Know the print before the print.

Panel-implied revenue nowcasts vs. Street consensus, mapped to a probability-weighted spread impact and peer spillover.

rebelative · earnings nowcast

Know the print before the print.

RetailCo Q2 FY26 · panel nowcast vs Street · spread impact scenarios.

Rev Estimate Q2 FY26

$8.43B

±1.9% · street $8.28B

Surprise Probability

73%

+1.7σ beat · conf 7.8/10

EPS Nowcast

$1.42

vs consensus $1.36 · +4.4%

Expected HY OAS Move

−14 bp

on +2% rev surprise · 2-day

Revenue MAPE 4q

3.1%

Rebelative · street 5.4%

REBEL · research console

user@creditfundco:~$

rebel> Model RetailCo Q2 print and export spread scenario table.

[rebel] understood. drafting plan…

  1. 1. load print Q2 FY26 · report 21 May
  2. 2. simulate rev surprise → HY OAS 2-day
  3. 3. export scenario grid + peer spillover

rebel> _(type to continue — runs on this report)

● agent: ready model: rebel-analyst-v1.3 · context: current page

Q2 FY26 revenue — Rebelative nowcast vs Street consensus

8.6 8.4 8.2 8.0 Report day 21 May Panel-implied intraquarter Rebelative nowcast Street consensus ($8.28B) Days into quarter Q2 revenue estimate ($B)

Signal stack powering the nowcast:

Card spendFootfallWeb + appJob postingsShippingLLM search

Credit spread impact — 2-day OAS move

scenario prob IG OAS HY OAS
Large beat (+3% rev) 22% −6 bp −22 bp
Modest beat (+1% rev) 51% −3 bp −14 bp
In-line 18% +1 bp +2 bp
Modest miss (−1% rev) 7% +7 bp +28 bp
Large miss (−3% rev) 2% +18 bp +64 bp

Prob-weighted HY OAS move:

≈ +0.71% 2-day TR on 5Y 6.25% bond

−14.3 bp

Betas from 5y panel of issuer prints × OAS reactions, controlled for rates + index flow · IC 0.41.

Peer spillover — RetailCo's print moves not-yet-reported peers

+10 0 −10 RetailCo prints SpecialtyDist ClinicNetwork RetailCo BEATS RetailCo MISSES Trading days after RetailCo reports Peer 5Y OAS move (bp)

Spillover coefficients learned via graph model over 5y of co-movement. Signs propagate BOTH ways — good news lifts peer credit, bad news leaks before peers print.

Also nowcasted — post-print drivers

metric estimate MAPE IC z
Revenue $8.43B 3.1% 0.34 +1.7
Gross margin 37.6% 55bp 0.28 −0.9
Inventory days 74d 2.8d 0.22 +1.1
Free cash flow $630M 7.2% 0.24 +1.1
Net debt/EBITDA 3.8x 0.12x 0.26 −0.6
Same-store sales +2.1% 42bp 0.31 +0.7

Track record — nowcast vs realized

Q4'25 Q1'26 Q2'26

IC of forecast residual vs
realized spread move (24m)

0.34

ExcelSnowflakeDelta ShareREST APIPython SDK
v0.9 preview · illustrative mock · synthetic data

Issuer Deep-Dive

One issuer, every signal fused.

Revenue nowcast, rating-migration forecast, peer relative value, and the alt-data event feed — on a single issuer page.

rebelative · issuer · RetailCo

RetailCo Inc.

Consumer Discretionary · Specialty Retail · $1.8B revenue TTM

DISTRESS DOWNGRADE-RISK HY BOOK COV-LITE
Bond
RetailCo 6.25% 2028 · Ba3 / B+
Spread
OAS 612 bps (+87 bps 30d)
Risk Score
92.4 / 100 · +5.1 QoQ · DISTRESS

Data sources

  • TRANSACTIONS Vendor AR aging & DPO timing 3d lag
  • CARD / POS U.S. specialty retail card spend 2d lag
  • EMAIL E-receipt purchase confirmations 2d lag
  • IN-STORE Banner-store foot-traffic & POS velocity 1d lag
  • WEB / APP Brand site traffic & loyalty app DAU 1d lag
  • B2B Inbound freight & supplier lead times 5d lag
  • MEDIA Category ad spend & share-of-voice 7d lag
  • CREDIT Commercial tradeline & lien registry 14d lag
  • SECTOR Specialty retail macro composite 1d lag

Panel-level exports available via your Snowflake share (REBELATIVE.ALT_CREDIT.*) for issuer drill-down, backtests, and custom analysis.

REBEL · research console

user@creditfundco:~$

rebel> Explain RetailCo distress flag drivers and export signal stack.

[rebel] understood. drafting plan…

  1. 1. load issuer RetailCo · B3 / distress flag
  2. 2. fuse 6 alt-data streams → risk score 92.4
  3. 3. export issuer dossier + event timeline

rebel> _(type to continue — runs on this report)

● agent: ready model: rebel-analyst-v1.3 · context: current page

Revenue Nowcast — 6 alt-data streams fused into one signal

6420−2−4 Nowcast crossed 0 → 6 weeks before consensus Rebelative nowcast 80% CIRebelative nowcastSell-side consensusReported revenue YoY % Fiscal quarter-end (reporting) Revenue growth YoY, %

Signal stack — what's driving the score

Vendor invoice delinquency +2.8σ

C2FO B2B feed

Email receipt volume +2.1σ

Edison panel

Card spend — banner stores +1.7σ

Affinity receipts

Software contract churn +1.2σ

SpendHound renewal

Store-level POS traffic +0.9σ

Mobile foot-traffic

Macro sector beta +0.4σ

Retail-sector macro

Web traffic / brand search −0.3σ

Clickstream

Rating Migration Forecast — next 12 months

Downgrade bias: 60% prob. ≤ B3 within 12mo

0.40.30.20.10 Current: B3 Caa2 Caa1 B3 B2 B1 Ba3 Ba2 3mo6mo12mo Prob. at horizon

Peer Relative Value — Consumer Disc. B-band

RetailCo: cheap relative to score → short vs peer basket

600550500450 Peer A Peer E Peer D Peer B Peer C RetailCo 60708090 Rebelative risk score OAS (bps)

Recent alt-data events

  • 2026-04-18

    Vendor DPO ↑ 68d (+12 QoQ)

  • 2026-04-15

    Email receipts −9.4% WoW

  • 2026-04-11

    SaaS renewal churn spike

  • 2026-04-05

    Store traffic: NE weak

  • 2026-03-28

    Top-20 card spend −4.2% YoY

  • 2026-03-22

    Nowcast revised to −4.2%

  • 2026-03-14

    Distress flag triggered (>85)

v0.9 preview · illustrative mock · synthetic data

Data Distribution

A governed schema catalog, share-ready.

Point-in-time panels and derived scores with full lineage, SLAs, and permissions — delivered to Snowflake, Databricks, or S3.

rebelative · data distribution

Governed schema catalog, share-ready.

Point-in-time panels and derived scores · Snowflake · Databricks Delta Share · REST API

REBEL · research console

user@creditfundco:~$

rebel> Generate SQL for company_revenue_monthly and push a sample to Snowflake.

[rebel] understood. drafting plan…

  1. 1. resolve table RAW_PANELS.company_revenue_monthly
  2. 2. validate PIT lineage → issuer_risk_score_daily
  3. 3. export DDL + sample rows · Delta Share manifest

rebel> _(type to continue — runs on this report)

● agent: ready model: rebel-analyst-v1.3 · context: current page

TABLE: REBELATIVE.ALT_CREDIT.RAW_PANELS.company_revenue_monthly

monthly revenue panel — calendar or fiscal month-end, per issuer

Schema

COLUMNTYPEDESCRIPTION
issuer_id VARCHAR(16) PK · Rebelative permanent issuer ID
company_name VARCHAR(64) Display name (e.g. RetailCo)
period_end DATE PK · Month-end (cal) or fiscal-month-end
period_type ENUM CAL_MONTH | FISCAL_MONTH
fiscal_year_end_mm INT Issuer's fiscal year-end month (1-12)
est_revenue_usd DECIMAL(18,0) Panel-implied revenue, USD
est_revenue_stderr_pct FLOAT ± 1σ uncertainty band (%)
qoq_rev_growth_pct FLOAT Quarter-over-quarter revenue change (%)
yoy_rev_growth_pct FLOAT Year-over-year revenue change (%)
panel_coverage_pct FLOAT % of reported revenue our panel sees
velocity_score FLOAT Z-score of 3m revenue acceleration
peer_trend_delta FLOAT Growth vs sector peer median (pp)
data_sources_n INT Count of alt-data feeds contributing
consensus_delta_pct FLOAT Nowcast vs Street consensus (%)
mape_trailing_4q FLOAT Backtested MAPE over trailing 4 quarters
as_of_date DATE PK · Snapshot date

Sample rows WHERE as_of_date = '2026-04-28'

companyperiod_end typerevenue_usd qoq%cov%vel
RetailCo 2026-02-28 FISCAL 1,842,600,000 −4.2 91.0 −1.8
EnergyCo 2026-03-31 CAL 3,517,400,000 +4.9 88.0 +1.6
TechFin 2026-03-31 CAL 612,900,000 +3.4 97.0 +0.9
LogisticsCo 2026-03-31 CAL 2,108,750,000 +0.6 96.0 −0.1
HealthMedCo 2026-02-28 FISCAL 1,390,200,000 +1.7 93.0 +0.3
FoodMfgCo 2026-02-28 FISCAL 2,675,300,000 −1.9 94.0 −0.7
AutoPartsCo 2026-03-31 CAL 845,120,000 −0.8 89.8 −0.4
CloudCo 2026-01-31 FISCAL 978,430,000 +5.2 98.0 +1.3
RestaurantGrpCo 2026-03-31 CAL 463,880,000 −3.9 81.3 −1.6
ClinicNetwork 2026-03-31 CAL 312,540,000 +0.5 86.8 +0.2
SpecialtyDistCo 2026-02-28 FISCAL 578,100,000 +2.7 87.0 +0.8

Periods vary by issuer: fiscal vs calendar month-end. Rows are point-in-time as of the snapshot date.

TABLE: REBELATIVE.ALT_CREDIT.SCORES.issuer_risk_score_daily

derived score, built on top of the raw panel above

COLUMNTYPEDESCRIPTION
issuer_id VARCHAR(16) PK · issuer ID
as_of_date DATE PK · point-in-time date
sector_gics_l2 VARCHAR(64) GICS level-2 sector
rating_category VARCHAR(12) IG / HY / Private / Unrated
risk_score FLOAT Headline 0-100 (100 = worst)
risk_score_pctl FLOAT Cross-sectional percentile in sector
COLUMNTYPEDESCRIPTION
risk_score_delta_30d FLOAT Change vs 30 days prior
model_confidence FLOAT 0-10 ensemble agreement
coverage_pct FLOAT % of expected alt-data inputs present
distress_flag BOOLEAN TRUE if risk_score > 85 for 5+ days
methodology_version VARCHAR e.g. rmm-0.9.1 (for reproducibility)
source_panel_version VARCHAR FK → company_revenue_monthly snapshot

↓ Derivation: issuer_risk_score_daily.source_panel_version references a versioned snapshot of company_revenue_monthly, preserving full PIT lineage.

SLA & freshness

Latency
< 24h from source panel close
Freshness
Daily 23:00 UTC; hourly distress deltas
History
2018-01-01 → present, point-in-time
Schema churn
Minor versioned; 90-day deprecation
Uptime SLA
99.5% native availability

Permissions & governance

Share to
Snowflake acct ID or Delta Share cred.
Row-level
Filter by universe tier (HY / IG / Priv)
Redistr.
No onward redistribution
Audit
Queries logged in ALT_CREDIT.usage
Compliance
SOC 2 Type II target 2026 Q4

Data Distribution + Schema Catalog v2 — raw monthly panel + derived score

v0.9 preview · illustrative mock · synthetic data

Want this wired to your book? Join the pilot cohort.