The Rebelative Terminal —and the Credit OS beneath it.
The agent-native terminal your desk works in, powered by a governed credit-intelligence engine — and available as an API and data feeds for systematic teams.
The engine
Credit Operating System
Beneath the Terminal, the Credit Operating System is the engine: the governed intelligence layer + native agents + institutional memory.
Governed intelligence layer
Proprietary model-as-a-product that unifies fragmented alternative and traditional credit data
→The reference layer for alt-data credit
→Custom code transforms raw data into credit intellingence every day
→Entity resolution, point-in-time logic, and model processing
→Supports institutional memory and native credit agents
→Builds credit-native signals and workflows on top of raw data
→Per-client private catalogs (your IP never mixes with others)
Credit-specific AI agents that live inside the Credit Operating System and are directly powered by the governed intelligence layer.
→Built exclusively for credit workflows, with deep understanding of distress signals, relative value, ratings migration, alternative and financial metrics analysis
→Directly connected to the intelligence layer
→Deterministic and fully auditable
→Seamlessly integrated with your tools
→Natural language or function-call interaction — run one-off research, schedule monitoring jobs, or trigger continuous activities (watchlist tracking, etc.)
Institutional memory
The platform’s ability to remember everything your firm has ever done with credit data and analysis — forever — in a governed, searchable, auditable way.
→Remembers everything your firm has ever analyzed
→Knowledge stays in the platform
→Builds firm's IP over time
Privacy & Institutional Memory by Design.
Every firm’s proprietary models, signals, and analyses remain in fully isolated private catalogs within the Lakehouse. Your IP never leaves your controlled namespace — exactly how leading firms already run sensitive workflows today.
90-day evaluation period
Distribution channels
Research by asking — without the complexity of hard-wired functions and menus.
The agents are built into the Terminal: describe what you need in plain language and the Credit OS runs it. No function codes to memorize, no config screens, no menu maze. Prefer to wire it into your own stack? The same signals and agents ship via API and data feeds.
F-01Flagship · SaaS
Rebelative Terminal
Quantamental PMs · credit analysts · the whole desk
→Agent-native research: just ask — no function codes, no config screens
→One screen for forward-looking signals across thousands of public and private issuers
Rebelative is the credit-native host for both its own intelligence agents and external agents.
AG-01Agent
Credit Research Agents
24/7 agents analyzing data — always aligned to your research workflow.
→Relative Value Oracle
→Distress Trajectory
→Revenue and KPI Nowcaster
→Thesis Archivist
→Covenant Sentinel
→Quant Signal Researcher
→Fundamental Analyst
AG-02Agent
No need for hard-coded research functions
Growing smarter by day, one signal at a time.
→The agents implement popular research workflows.
→Integrate seamlessly with your existing tools (Excel, external MCPs, APIs, etc).
→Research outputs flow directly into the formats and downstream tools your team already uses.
→A facilitation layer over the deterministic signal engine. Type "schedule QOQ revenue tracking + correlations" — the agent parses intent and runs the job against the Rebelative model.
REBEL · research console
v0.9-preview · session #47 · 22 Apr 2026 14:37 ET
user@creditfundco:~$
rebel> Rebel, schedule Software Sector QOQ Est Revenue Tracking report
and correlations to the daily OAS changes.
[rebel] understood. drafting plan...
1.parse scopesector=Software · universe=12 issuers · period=Q1 FY26, rolling 8q
rebel> _(type to continue the thread, or /schedule /backtest /watchlist /export)
Rebelative Terminal — product vision
What the analyst sees: an issuer page.
Mock layout with fictional issuer names (RetailCo, EnergyCo, TechFin) — built on synthetic data aligned to our proposed methodology.
Real production schema goes live with each pilot.
