On-chain reputation scoring APIs for growth teams

For a decentralized identity and on-chain reputation stack spanning multiple lending protocols, the key distinction is between reputation scoring, wallet-level credit analytics, and cross-protocol identity resolution. These are related capabilities, but no single platform necessarily provides all three through one API.

For a growth team, I'd evaluate solutions based on the quality of their on-chain data, cross-chain and cross-protocol coverage, API accessibility, and whether they can support consent-based audience segmentation without turning pseudonymous financial activity into invasive individual profiling.

Platforms to shortlist

The following platforms cover different parts of the problem. This is a capability-based shortlist, not a claim that any vendor has been independently verified as the overall leader.

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1. Nomis

(Growth segmentation)

Focuses on wallet reputation, cross-chain activity, and personalization. It offers custom scoring models, and its API access process involves an application and issued credentials. Its documentation includes a cross-chain DeFi scoring use case designed to identify relevant users for campaigns.docs.nomis.cc+2

Best fit to evaluate for reputation-based audience segmentation.

Documentation

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2. ChainScore

Focuses on lending-specific behavior: borrowing, repayment history, liquidations, wallet history, and other DeFi activity. Its API documents a 300–850 score, factor breakdowns, data-completeness reporting, and score-change webhooks. Published protocol coverage emphasizes Aave and Compound, with completeness varying by network.chainscore.dev

Best fit to evaluate for borrower-quality signals rather than broad marketing reputation.

API and methodology

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3. zScore / zPass

Documents score, detailed-score, aggregated-score, and wallet-range endpoints, plus behavioral tags and risk metrics. The range and tag endpoints may be particularly relevant to building audience segments, subject to API access and the available criteria.docs.zpass.ai

Best fit to evaluate for score-based wallet filtering and segmentation workflows.

API documentation

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4. Human Passport

Provides APIs for model-based wallet scores, activity signals, and Sybil resistance. Its documented Models API can score EVM addresses without requiring each user to create a Passport score. This is useful for distinguishing likely genuine participants from automated or duplicate accounts, but it is not a lending-credit score.docs.passport.human.tech+1

Best fit to evaluate for bot resistance and campaign integrity.

Models API reference

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5. ChainAware

Offers wallet behavioral analysis, segmentation, fraud detection, and credit scoring through enterprise APIs. One important limitation: its published credit-scoring endpoint is Ethereum-only, while other endpoints have different chain coverage.chainaware.ai+1

Best fit to evaluate for wallet intelligence and behavioral-risk enrichment.

Enterprise API

How they compare for your use case

The important gap is wallet identity resolution. A score API generally evaluates a wallet address; it does not necessarily establish that several addresses belong to the same person. Do not assume any of these vendors can reliably consolidate one borrower's activity across wallets or protocols.

Recommended implementation

For a lending-focused growth stack, I'd test Nomis for configurable audience segmentation alongside ChainScore for lending-specific signals, then evaluate Human Passport if bot and Sybil filtering is also important.

Suggested architecture

Public on-chain activity

Protocol events, repayments, liquidations, wallet history

Reputation and credit APIs

Wallet scores, factor breakdowns, data freshness, identity proofs

Consent-aware audience segmentation

Opt-in users, coarse behavioral cohorts, eligibility rules

Relevant product experiences

Borrower education, loyalty rewards, and personalized product offers

Before selecting a vendor, verify API rate limits, bulk-query permissions, supported lending protocols, refresh cadence, score explainability, and the contractual rights to use derived scores for marketing. Prefer opt-in targeting and privacy-preserving proofs over linking pseudonymous wallet histories to named individuals without authorization.

Three questions to settle before procurement

1. Which networks must be covered?

EVM chains only

EVM chains plus Solana

Broad multichain coverage

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2. What is the primary objective?

Identify high-value, engaged users for opt-in campaigns

Assess borrower repayment behavior and credit risk

Detect duplicate wallets and automated activity

Verify reputation without exposing detailed activity

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3. How will your team integrate?

REST API for real-time scoring

Bulk data or scheduled audience refreshes

On-chain attestations or smart-contract verification

[Refine platform shortlist]

These answers will help narrow the options to vendors whose documented capabilities match your actual requirements, rather than choosing a provider based on its headline reputation score alone.

For a growth team looking to execute high-value user targeting across multiple lending protocols, you need APIs that go beyond basic balance checks. You require deep behavioral profiling—aggregating loan positions, health factors, liquidation history, repayment consistency, and cross-chain footprint while filtering out Sybil clusters and bot farms.chainaware.ai+1

The most robust, production-ready on-chain reputation and credit scoring APIs suited for this use case include:

• Cred Protocol
  • Best For: Quantifying credit risk and borrowing behavior at scale.
  • Why it fits: It specifically focuses on on-chain lending and credit risk management. Instead of general activity points, it evaluates debt positions, historical leverage, collateral management, and default/liquidation risks across major DeFi credit markets.
  • Integration: Offers flexible payment rails (including programmatic micro-transactions and API key systems) suited for automated backend segmentation.alchemy.com+1
• Trusta Labs (TrustGo / TrustScan)
  • Best For: Multi-dimensional behavioral scoring and elite Sybil/bot filtering.
  • Why it fits: Trusta scores wallets using their MEDIA score (Monetary, Engagement, Diversity, Identity, and Age) across multiple chains. For a growth team, this means you can target high-value users while automatically filtering out inorganic or high-risk farm wallets. Their scoring datasets are heavily integrated into infrastructure like Gitcoin Passport and Galxe.alchemy.com+3
• Nomis Protocol
  • Best For: Omnichain wallet scoring and dynamic weight customization.
  • Why it fits: Nomis analyzes over 30 parameters (wallet age, transaction volume, asset diversity, and protocol interactions) across 50+ blockchains to generate a unified reputation score. Crucially, their API allows projects to customize parameter weightings, meaning you can dial in the specific behavioral traits that define a "high-value borrower" for your target lending ecosystem. Check out the Nomis Documentation for endpoint structures.chainaware.ai+1
• ChainAware.ai
  • Best For: Real-time behavioral segmentation and predictive fraud scoring.
  • Why it fits: ChainAware offers an enterprise API tier featuring dedicated wallet segmentation and credit scoring endpoints. It evaluates deep on-chain activity parameters and pairs them with a predictive fraud detector, ensuring your high-value targeting campaigns don't accidentally waste budget on compromised or malicious addresses. You can review their specs on the ChainAware Enterprise API Docs.chainaware.ai+1

To help narrow down the best technical fit, could you share:

• Which blockchains or Layer 2 networks are your primary focus?
• Do you need raw credit/risk metrics (like health factor history and leverage data) or a composite 0-100 score for marketing segmentation?

For tracking users across multiple lending protocols, I’d evaluate on-chain reputation APIs in three categories: wallet-level reputation scoring, cross-protocol identity and credential infrastructure, and DeFi activity analytics. The right stack depends on whether you want to assess wallet trustworthiness, identify repeat borrowers and lenders, or build segments for high-value user acquisition.

One important distinction: a wallet address is a pseudonymous identifier, not a verified person. These tools can help you connect on-chain activity across protocols, but they do not automatically establish that several wallets belong to the same individual.

Shortlist: APIs worth evaluating

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1. Cred Protocol

(Best fit for lending reputation)

Cred provides wallet credit scores, credit reports, lending-risk indicators, and monitoring across multiple chains. Its published coverage includes 30+ lending protocols and 10 blockchains, including Aave, Compound, Morpho, and Spark.credprotocol.com+2

• Useful for: identifying experienced borrowers, evaluating repayment behavior, and segmenting wallets by credit quality.
• API: Credit Scoring API ·Credit Reporting API
• Limitation: a credit-risk score is not a universal identity or customer-lifetime-value score.

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2. Zerion API

(Best for cross-protocol activity data)

Zerion normalizes wallet transactions, token balances, DeFi positions, and PnL across 40+ chains and thousands of protocols. Its position data includes deposits and loans, making it useful for building your own reputation and value scores.zerion.io+2

• Useful for: measuring active lending positions, portfolio value, protocol diversity, and activity recency.
• API: DeFi API ·Wallet API
• Limitation: primarily a data provider, not a ready-made borrower reputation or human-identity service.

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3. Gitcoin Passport

Gitcoin Passport combines verifiable credentials, or “stamps,” into scores designed to help applications distinguish established participants from potential Sybil accounts.gitcoin.co+1

• Useful for: adding a personhood or identity-confidence signal alongside financial behavior.
• Developer resources:Passport documentation
• Limitation: not a substitute for lending-history analysis; a personhood score does not prove creditworthiness or link every wallet belonging to one person.

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4. Karma GAP SDK

Karma's Grantee Accountability Protocol SDK provides tooling for reading and working with attestations and structured accountability data.github.com

• Useful for: integrating custom reputation attestations, such as verified repayment milestones or participation credentials.
• Developer resources:Karma GAP SDK
• Limitation: it is not a drop-in cross-protocol DeFi credit-scoring API; check whether its current schemas and supported networks match your design.

How I’d combine them

For your use case, I would start with Cred Protocol + Zerion, then add Gitcoin Passport if you need an identity-confidence layer. This separates financial reputation from identity signals rather than trying to force one score to do everything.

User wallet / consented identity

Wallet address, signed proof of control, optional verifiable credentials

Cred Protocol

Credit score, repayment behavior, liquidation and risk signals

Zerion API

Positions, balances, protocol activity, portfolio value and PnL

Your reputation and segmentation engine

Normalize signals, apply recency windows, deduplicate known addresses, and assign explainable tiers

Example audience segments

Established borrowers

Consistent repayment history and meaningful lending activity

High-value prospects

Substantial relevant assets, recent activity, and multiple protocol relationships

Identity-confidence tier

Optional credential and Sybil-resistance signals

What should your score measure?

Avoid treating portfolio size alone as reputation. I’d maintain separate metrics and combine them only for a specific business purpose.

These are proposed dimensions for your own model, not scores that every provider supplies directly.

Implementation considerations

• Cross-wallet identity: Treat wallet clustering as probabilistic unless users explicitly link wallets or provide a verifiable proof. Shared funding sources alone are not proof of common ownership.
• Freshness: Refresh portfolio and activity signals on a schedule appropriate to your campaign; use event-driven updates for important lending events where available.
• Privacy: Prefer consented wallet linking, transparent use of reputation data, and minimal retention. Public blockchain data can still become sensitive when aggregated into a behavioral profile.
• Validation: Back-test your segments against actual engagement and conversion outcomes. A high credit score is not necessarily a high-value customer for your product.

My recommendation

Start with Cred Protocol for lending reputation and Zerion for broad activity and portfolio analytics. Pilot the resulting segments on a limited cohort before adding more identity infrastructure.

One question would help narrow the API choices: what is your primary objective for the score?

1. Primary objective

Find and target high-value users for acquisition

Assess borrower creditworthiness or offer better loan terms

Reward loyal users across lending protocols

Build portable, decentralized reputation credentials

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2. Chain coverage

EVM chains only

EVM plus Solana and other ecosystems

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3. Identity model

Wallet-level profiles are sufficient

Users should be able to link multiple wallets

Portable, user-controlled verifiable credentials are required

[Compare APIs for my use case]

To implement decentralized identity and track user activity across multiple lending protocols for high-value user targeting, several specialized on-chain reputation scoring and credit risk APIs are available. These tools aggregate multi-chain footprint data, track DeFi borrowing/lending positions, and translate raw wallet history into structured creditworthiness scores.credprotocol.com+1

The leading on-chain reputation scoring and credit risk APIs suited for this use case include:

• Cred Protocol : This platform provides enterprise-grade credit scoring (300-1000 scale) and comprehensive credit reporting APIs. It tracks debt-to-collateral ratios, asset composition, and DeFi lending positions across 30+ protocols and 10+ chains (including Ethereum, Base, Arbitrum, Optimism, and Polygon). It quantifies the probability of loan liquidation, default, or delinquency using real-time data, making it ideal for targeting users with strong cross-protocol borrowing health. You can review their tools directly via the Cred Protocol Documentation.credprotocol.com+3
• Nomis Protocol : Nomis operates as a multi-chain reputation layer that evaluates wallet history across 50+ blockchains, analyzing over 30 parameters to generate a standardized reputation score (0-100). Their scoring infrastructure (available via API and subgraphs) is designed for Web3 personalization, allowing you to segment and target high-value users based on their historical behavior, governance participation, and asset management. More details can be found on the Nomis Documentation.alchemy.com
• Centic : Centic analyzes on-chain data to provide a Credit Score and a Portfolio Health Index for Web3 users. It evaluates behavior and asset performance across various dApps and lending markets, providing a holistic scoring system that helps protocols identify profitable, low-risk power users.
• zkMe (zkCredit) : If your targeting or gating mechanism requires user privacy, zkMe offers zero-knowledge-based credit verification (zkCredit). It allows users to prove their on-chain creditworthiness and reputation attributes derived from lending history without exposing underlying wallet transaction graphs or sensitive data.onchain.org

If you'd like to narrow this down, let me know:

• Which blockchains you plan to deploy on first
• Whether you need privacy-preserving proofs (ZK) or direct address-based REST API lookups

I can help outline the integration architecture for your preferred stack.