TRANSACTIONS
Invoice / receivables & cash-flow
B2B invoice flows, AR aging, payment-timing data. Any data that provides borrower liquidity nowcasts at the issuer level.
For alternative data providers
Your panel is the fuel for the Credit Operating System.
Rebelative is building the Credit Operating System for U.S. public and private credit funds — a market currently underserved by equity-centric alt-data vendors. We license panels from best-in-class providers and convert them into production-grade credit signals inside one governed environment
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 has signal for credit risk or borrower health, we want to license it.
New revenue channel
How the Credit OS protects your distribution control.
Rebelative operates as a governed intelligence layer only. We do not compete with data vendors by reselling raw data directly.
Instead, 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 without taking away your existing raw 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.
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.
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 contracts.
Ratable contracts
Multi-year commitments structured to give predictable revenue and clear utilization paths for your data.
Attribution & transparency
Source attribution preserved across our data lineage. You always know how your panel is being used and where it contributes lift.
Methodology disclosure
White papers and methodology pages describe how signals are constructed — credibility for you, trust for our buyers.
Governance & compliance
De-identified, contractually-scoped data only. Privacy, residency and downstream-use clauses respected end-to-end.
Multi-vendor diversification
We deliberately avoid single-source dependency. Strong panels get more share when they outperform — pure meritocracy.
Co-marketing where it helps
Joint case studies, co-branded research, and conference visibility for partners willing to be named.
Evaluation process
Four steps from first call to commercial agreement.
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01
NDA + scoping
Mutual NDA, dataset overview, sample schema, intended downstream use.
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02
Lift evaluation
Sample data tested against existing signals on a defined issuer universe. Quantified marginal contribution.
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03
Commercial structuring
Ratable contract, usage scope, governance terms, attribution language.
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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.