Supportlogic

SupportLogic is an enterprise AI infrastructure company for customer experience and support operations. Its Service Experience Data Cloud normalizes support data across cases, chat, and voice and enriches it with AI-driven sentiment and predictive signals, while ambient AI agents predict and prevent escalations, detect sentiment, automate case routing, draft replies and knowledge-base articles, and coach support teams. SupportLogic layers on top of existing ticketing/CRM stacks (Salesforce, Zendesk, Freshdesk, ServiceNow, Jira) and exposes its intelligence to AI clients through a first-party hosted MCP server that works with Claude, ChatGPT, and enterprise applications. Surfaced as a portfolio company of General Catalyst and Sierra Ventures and enriched by the API Evangelist pipeline.

Supportlogic is profiled on the APIs.io network. Tagged areas include Company, Customer Support, Customer Experience, Artificial Intelligence, and Service Experience.

Supportlogic’s developer surface includes documentation, support, engineering blog, pricing, authentication, and 11 more developer resources.

24.6/100 emerging ▬ flat Agent 21/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
0 APIs 1 MCP Servers
CompanyCustomer SupportCustomer ExperienceArtificial IntelligenceService ExperienceSentiment AnalysisEscalation ManagementMCPSaaS

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 24.6/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 7.0 / 20
Commercial Clarity 9.5 / 20
Operational Transparency 1.4 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 21/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 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
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/supportlogic: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Security Posture 4

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

Supportlogic Authentication

http · 1 scheme

SECURITY

Supportlogic Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Supportlogic Vulnerability Disclosure

Hackerone · contact published

SECURITY

Supportlogic Trust Center

SOC 2 Type 2, ISO 27001, HIPAA, GDPR, CCPA, FIPS 140-2

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Access & Security 6

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: supportlogic
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/supportlogic.png
name: Supportlogic
description: SupportLogic is an enterprise AI infrastructure company for customer experience and support operations. Its Service
  Experience Data Cloud normalizes support data across cases, chat, and voice and enriches it with AI-driven sentiment and
  predictive signals, while ambient AI agents predict and prevent escalations, detect sentiment, automate case routing, draft
  replies and knowledge-base articles, and coach support teams. SupportLogic layers on top of existing ticketing/CRM stacks
  (Salesforce, Zendesk, Freshdesk, ServiceNow, Jira) and exposes its intelligence to AI clients through a first-party hosted
  MCP server that works with Claude, ChatGPT, and enterprise applications. Surfaced as a portfolio company of General Catalyst
  and Sierra Ventures and enriched by the API Evangelist pipeline.
url: https://raw.githubusercontent.com/api-evangelist/supportlogic/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- general-catalyst
- sierra-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Customer Support
- Customer Experience
- Artificial Intelligence
- Service Experience
- Sentiment Analysis
- Escalation Management
- MCP
- SaaS
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.supportlogic.com/
- type: Documentation
  url: https://www.supportlogic.com/resources/techguides/
- type: Support
  url: https://support.supportlogic.com/support/home
- type: Blog
  url: https://www.supportlogic.com/resources/blog/
- type: Pricing
  url: https://www.supportlogic.com/pricing/
- type: PrivacyPolicy
  url: https://www.supportlogic.com/privacy-policy/
- type: TermsOfService
  url: https://www.supportlogic.com/master-service-agreement/
- type: MCPServer
  url: mcp/supportlogic-mcp.yml
- type: Authentication
  url: authentication/supportlogic-authentication.yml
- type: Conformance
  url: conformance/supportlogic-conformance.yml
- type: Compliance
  url: https://www.supportlogic.com/security/
- type: TrustCenter
  url: security/supportlogic-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/supportlogic-vulnerability-disclosure.yml
- type: Security
  url: https://www.supportlogic.com/security/
- type: DomainSecurity
  url: security/supportlogic-domain-security.yml
- type: LLMsTxt
  url: llms/supportlogic-llms.txt
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 7
  pass: local-v1