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.

ScoreData is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Predictive Analytics, and Data Science.

🌐 Visit website 📡 Source on GitHub
2.3/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0
0 APIs
CompanyArtificial IntelligenceMachine-LearningPredictive AnalyticsData ScienceMLOpsFinancial-ServicesInsuranceHealthcare

Kin Score

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scored 2026-08-20 · rubric v0.12.0
Composite quality — 2.3/100 · minimal
Contract Quality 0.0 / 21
Developer Ergonomics 0.0 / 17
Access Clarity 0.0 / 17
Operational Transparency 0.0 / 11
Contract Governance 0.0 / 10
Discoverability 4.3 / 9
Regulatory Posture 1.4 / 15
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Regulatory Posture applies to this provider. Its tags matched the Insurance regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/scoredata: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Scoredata Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 1

The organization behind the API

Website
Website

Source (apis.yml)

apis.yml Raw ↑ 
aid: scoredata
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/scoredata.png
name: ScoreData
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/scoredata/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Predictive Analytics
- Data Science
- MLOps
- Financial-Services
- Insurance
- Healthcare
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Predictive Analytics
- Data Science
- MLOps
- Financial Services
- Insurance
- Healthcare
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/scoredata-domain-security.yml
- type: Website
  url: https://scoredata.com
x-enrichment:
  date: '2026-07-21'
  status: minimal
  artifacts_added: 1
  pass: local-v1