Credit Benchmark
Credit Benchmark is a financial data company that aggregates internal credit risk assessments contributed by more than 40 leading global financial institutions into anonymized, consensus Credit Consensus Ratings and analytics covering roughly 120,000 public and private entities — over 90% of which are unrated by the traditional credit rating agencies. Its REST API delivers consensus ratings, rating distributions, aggregate credit trends, entity rating changes, and portfolio analytics, along with entity-name-to-CBID resolution (matching) and contributor-data analytics. Delivery is also available via a web app, an Excel Add-In, and file/SFTP feeds. Access is enterprise/sales-gated; the JWT-authenticated API base is https://api.creditbenchmark.com.
Credit Benchmark publishes 6 APIs on the APIs.io network, including Analytics API, Authentication API, Contributor Data API, and 3 more. Tagged areas include Company, Credit Risk, Financial Data, Credit Ratings, and Analytics.
Credit Benchmark’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, authentication, and 20 more developer resources.
Kin Score
APIs 6
Individual APIs this provider publishes, each with its own machine-readable definition.
Credit Benchmark Analytics API
Portfolio analytics and risk calculations
Credit Benchmark Authentication API
JWT token generation and authentication
Credit Benchmark Contributor Data API
Contributor-specific analytics using client/bank internal PD data. Requires ent_CLIENT-DATA entitlement.
Credit Benchmark Entity Data API
Entity-specific data and rating information
Credit Benchmark Entity Matching API
Entity name matching and identification
Credit Benchmark Portfolio Analytics API
Portfolio-level analytics and summaries
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
creditbenchmark-mcp.yml
MCP SERVERSecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Access & Security 5
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type