Credit Benchmark
Credit Benchmark is a financial data company that aggregates confidential credit-risk estimates from over 40 leading global financial institutions into anonymized consensus Credit Consensus Ratings (CCRs) and analytics covering 120,000+ public and private entities, most of which are unrated by traditional agencies. Risk professionals across banking, insurance, and asset management use the data for customer onboarding and credit decisioning, portfolio monitoring, model calibration, market valuation, and regulatory and third-party risk validation. Delivery channels include a REST API (gateway.creditbenchmark.com), a web application, an Excel Add-In, SFTP/secure file transfer, and data marketplaces (Snowflake, Databricks, AWS Data Exchange). The Consensus Data API exposes JWT-authenticated entity resolution, raw data extraction, computed analytics (trends, breakdowns, rating changes, distributions), and metadata discovery. Backed by Index Ventures.
Credit Benchmark publishes 5 APIs on the APIs.io network, including analytics API, authentication API, data API, and 2 more. Tagged areas include Company, Fintech, Credit Risk, Credit Ratings, and Financial Data.
Credit Benchmark’s developer surface includes documentation, API reference, getting-started guide, engineering blog, support, authentication, and 22 more developer resources.
Kin Score
APIs 5
Individual APIs this provider publishes, each with its own machine-readable definition.
Credit Benchmark analytics API
Analytics endpoints.
Credit Benchmark authentication API
Token generation endpoints.
Credit Benchmark data API
Raw data extraction endpoints.
Credit Benchmark entity-resolution API
Entity name resolution endpoints.
Credit Benchmark metadata API
Metadata discovery endpoints.
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
credit-benchmark-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 3
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 6
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