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.

🌐 Visit website 📡 Source on GitHub

24.5/100 emerging ▬ flat Agent 3/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs 1 MCP Servers

Company Customer-Support Customer Experience Artificial IntelligenceService ExperienceSentiment AnalysisEscalation ManagementMCP Software-as-a-Service

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 24.5/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 5.7 / 20

Access Clarity 9.5 / 20

Operational Transparency 1.4 / 13

Contract Governance 2.2 / 12

Discoverability 5.7 / 10

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. 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. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

MCP Servers 1

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

Supportlogic MCP Server

MCP SERVER

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

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 6

Authentication, authorization, and security posture

Authentication

Authentication

Compliance

Compliance

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

Security

Security

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: supportlogic
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  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: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Customer-Support
- Customer Experience
- Artificial Intelligence
- Service Experience
- Sentiment Analysis
- Escalation Management
- MCP
- Software-as-a-Service
tags_raw:
- 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

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