ScoreData
ScoreData Corporation is a Palo Alto based predictive-analytics and AI/ML platform company founded in 2014 by Danny Yang, Vas Bhandarkar, Mudit Chandra and Prasanta Behera. Its flagship ScoreFast platform, paired with iMaaS (intelligent Models as a Service), lets cross-functional AI teams develop, deploy, monitor, manage and govern machine-learning models in production across Banking, Insurance and Healthcare. ScoreFast uses patented dynamic machine learning that learns continuously, removing the need to manually regenerate predictive models, and its applications can be deployed across in-store, mobile, web, kiosk, chatbot and cloud contact-center touchpoints. ScoreData is backed by 500 Global and is tracked in the API Evangelist network as a portfolio-lead company awaiting a public developer/API surface.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles ScoreData the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — ScoreData scores 7.7/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile ScoreData
Each block below is one kind of artifact we hold for ScoreData. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for ScoreData — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Access & Security 1
Authentication, authorization, and security posture
Company 1
The organization behind the API
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