For data & platform partners

Your data powers credit signals across thousands of issuers — and you get the intelligence back.

Rebelative is the Credit Operating System for U.S. public and private credit funds — a market equity-centric alt-data vendors don’t serve. We turn your panel into near-real-time revenue and distress signals inside one governed environment, open a new buyer segment for you, and return credit-grade intelligence you can put to work in your own product.

If your data sees what companies earn, pay, contract, or renew — you’re a partner.

Two kinds of partners power the Credit OS: established alternative-data providers, and platforms sitting on operational data — invoice, payments, spend and software-contract flows — who’ve never thought of themselves as “alt-data,” yet hold some of the most direct reads on issuer revenue and borrower health. You don’t need a data business to partner. We build that layer for you.

Why partner with us

A new, high-intent buyer segment: credit funds.

Credit funds — both public high-yield/IG and the ~$2.5T private credit market — represent a major growth opportunity that most alt-data vendors have not yet meaningfully penetrated. These buyers need credit-native synthesis that generalist platforms don’t deliver.

Rebelative does that synthesis. We turn your raw panel into production-grade credit signals and workflows, then deliver them through a governed platform that credit teams actually use. This gives you access to a new buyer segment without requiring you to build credit-specific capabilities.

If your data carries signal for credit risk or borrower health, we want to work with it.

It goes both ways

You give us a feed. We give you intelligence your own customers will pay for.

The pooled model that powers our credit signals also produces benchmarks no single platform can build alone. Contribute your data and that intelligence comes back to you — a different cut of the same engine.

INVOICE / PAYMENTS / SPEND

Supplier Health & Distress Scores

Forward-looking risk on the vendors your customers pay — built from credit models and signals beyond your own platform.

Supplier Early-Warning Alerts

Flag a critical vendor weakening before it disrupts your customers — visibility you can’t get from your own data alone.

SAAS / SOFTWARE CONTRACTS

Vendor Viability Scores

Forward-looking financial-health on the SaaS vendors your customers commit to, so multi-year renewals carry less risk.

Renewal-Risk Signals

Early read on vendors likely to raise prices, cut staff, or get acquired — drawn from credit and alt-data your customers don’t see.

Give-to-get. The more partners contribute, the sharper every signal — and the more intelligence flows back to you.

A new revenue channel

A new high-margin vertical, built on your data.

Rebelative operates as a governed intelligence layer. We create a new high-margin vertical — credit — by transforming your data into production-grade signals and workflows, giving you access to new buyers and incremental revenue alongside your existing data relationships.

Data categories

What we're actively evaluating.

We’re mapping the real-time pulse of the U.S. economy and its sectors through alternative data. Open to any panel — including categories not listed here — where we can demonstrate marginal lift on a credit signal during evaluation.

TRANSACTIONS

Invoice / receivables & cash-flow

B2B invoice flows, AR aging, payment-timing data. Any data that provides borrower liquidity nowcasts at the issuer level.

SOFTWARE

SaaS & software contracts

Contract values, seat counts, renewals & churn — from ratable enterprise contracts to SMB subscriptions. Direct revenue and net-retention reads on software issuers.

CARD / POS

Consumer card & POS panels

De-identified card spend and POS revenue across U.S. consumer brands. Drives revenue nowcasts & market-share signals.

WEB / APP

Web traffic, app usage, ad spend

Issuer-level digital footprint indicators for diligence and product-adoption signals.

EMAIL

E-receipt / inbox panels

Receipts and purchase-confirmation data for category-level engagement and basket trends.

B2B

Supply-chain & logistics flows

Shipment, freight, customs and supplier-relationship data. Powers supply-chain stress signals.

CREDIT

Bureau, registry & ratings adjuncts

Tradeline, lien, registry and rating-adjacent feeds. Anchors our ratings migration model.

SECTOR

Industry-specific telemetry

Real-estate, mobile, sectoral coverage that maps to issuer revenue.

ALT

Hiring, satellite, AIS & other

Open to evaluating any panel where we can demonstrate marginal lift on a credit signal.

MEDIA

Ad spend, media mix & competitive share

Advertising spend trends, share-of-wallet, media mix shifts, and category-level performance. Any data useful for revenue nowcasts, market-share movement, and early sector health signals.

COMM

Sentiment & Transcripts

Sentiment-shift, competitive-share, and other data useful for sector sentiment trend analysis

IN-STORE

CPG Data

Store-level inventory & sales velocity, and any other KPIs that can be used as leading indicators for revenue nowcasts and supply chain stress signals

How we work with partners

Built around mutual trust, attribution, and durable terms.

Flexible commercial structures

Matched to your business and agreed in our structuring call — durable, multi-year, with clear utilization paths for your data.

Attribution & scope

Your panel is used only within the scope we agree, tracked across our data lineage, and never resold as raw data.

Methodology disclosure

White papers and methodology pages describe how signals are constructed — credibility for you, trust for our buyers.

Governance & privacy

Only aggregated, de-identified outputs are ever returned, with a minimum-contributor threshold per data point. No PII, your customers’ data is never exposed, your competitors never see your data, and you keep every existing relationship.

Multi-vendor diversification

We deliberately avoid single-source dependency. Strong panels get more share when they outperform — pure meritocracy.

Co-marketing, by mutual agreement

Joint case studies, co-branded research or conference visibility — only where both sides see a clear, timely benefit.

Evaluation process

Four steps from first call to commercial agreement.

  1. 01

    NDA + scoping

    Mutual NDA, dataset overview, sample schema, intended downstream use.

  2. 02

    Lift evaluation

    Sample data tested against existing signals on a defined issuer universe. Quantified marginal contribution.

  3. 03

    Commercial structuring

    Commercial terms (matched to your business), usage scope, governance, and attribution language.

  4. 04

    Production onboarding

    Pipeline ingest, PIT alignment, methodology disclosure, partner record on our data lineage.

Next step

Tell us what you have. We'll come back with a signal hypothesis.

We respond to every serious partnership inquiry within two business days.