TechSee

TechSee is an Israeli-founded customer-experience software company that builds visual assistance and visual agentic AI for customer service, contact centers and field service. Its platform — TechSee Live for agent-guided visual sessions and Sophie AI for autonomous multimodal virtual agents — combines live video, computer vision, augmented reality overlays and screen sharing so that a support agent or an AI agent can see what a customer sees and guide them to a resolution. TechSee sells into telecommunications, insurance, utilities, consumer electronics, home builders, medical devices, retail and BPO, and markets an "open integration platform" of APIs plus prebuilt connectors for Salesforce, ServiceNow, Zendesk, Amazon Connect, Oracle, Pega, Microsoft Dynamics 365, Amdocs and CSG. Public developer artifacts are limited to an iOS mobile SDK on GitHub; the API reference itself is not published publicly.

TechSee is profiled on the APIs.io network. Tagged areas include Company, Visual Assistance, Customer Experience, Customer Service, and Contact Center.

TechSee’s developer surface includes engineering blog, pricing, support, authentication, and 16 more developer resources.

🌐 Visit website 📡 Source on GitHub

24.7/100 emerging ▬ flat Agent 20/100 agent aware Full breakdown ↓
scored 2026-09-02 · rubric v0.18.0

AccessSelf serve

0 APIs 1 MCP Servers

CompanyVisual AssistanceCustomer Experience Customer Service Contact Center Computer-Vision Augmented Reality Artificial Intelligence Field Service Remote Support Video Telecommunications

Kin Score

Kin Score How this is scored →
scored 2026-09-02 · rubric v0.18.0

Composite quality — 24.7/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 4.5 / 17

Access Clarity 6.5 / 17

Operational Transparency 0.3 / 11

Contract Governance 1.9 / 10

Discoverability 4.3 / 9

Regulatory Posture 8.7 / 15

Agent readiness — 20/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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 7 / 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 0 / 6

Agentic Commerce Surface 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Telecommunications 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/. 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/techsee: 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.

Rate Limits 1

Documented rate limits and quota policies.

Scopes 1

OAuth scopes governing access to this provider's APIs.

Techsee Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

WellKnown

WellKnown

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

OAuthScopes

OAuthScopes

Operate 2

Status, limits, changes, and where to get help

Support

Support

RateLimits

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

TermsOfService

PrivacyPolicy

Plans

Company 3

The organization behind the API

Website

Website

About

About

Blog

Blog

Source (apis.yml)

aid: techsee
name: TechSee
description: TechSee is an Israeli-founded customer-experience software company that builds visual assistance and visual agentic
  AI for customer service, contact centers and field service. Its platform — TechSee Live for agent-guided visual sessions
  and Sophie AI for autonomous multimodal virtual agents — combines live video, computer vision, augmented reality overlays
  and screen sharing so that a support agent or an AI agent can see what a customer sees and guide them to a resolution. TechSee
  sells into telecommunications, insurance, utilities, consumer electronics, home builders, medical devices, retail and BPO,
  and markets an "open integration platform" of APIs plus prebuilt connectors for Salesforce, ServiceNow, Zendesk, Amazon
  Connect, Oracle, Pega, Microsoft Dynamics 365, Amdocs and CSG. Public developer artifacts are limited to an iOS mobile SDK
  on GitHub; the API reference itself is not published publicly.
url: https://raw.githubusercontent.com/api-evangelist/techsee/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  - scopes
  - rate-limits
  - security
  generated: '2026-09-02'
  method: derived
image: https://techsee.com/wp-content/uploads/2024/08/logos-03.svg
x-type: company
x-source: harvest:secondary-market
x-tier: profile
x-tier-reason: enrichment-pass
specificationVersion: '0.20'
created: '2026-08-29'
modified: '2026-08-29'
tags:
- Company
- Visual Assistance
- Customer Experience
- Customer Service
- Contact Center
- Computer-Vision
- Augmented Reality
- Artificial Intelligence
- Field Service
- Remote Support
- Video
- Telecommunications
tags_raw:
- Company
- Visual Assistance
- Customer Experience
- Customer Service
- Contact Center
- Computer Vision
- Augmented Reality
- Artificial Intelligence
- Field Service
- Remote Support
- Video
- Telecommunications
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/techsee-domain-security.yml
- type: Website
  url: https://techsee.com/
- type: About
  url: https://techsee.com/about-us/
- type: Integrations
  url: https://techsee.com/integrations/
- type: Blog
  url: https://techsee.com/blog/
- type: Pricing
  url: https://techsee.com/pricing/
- type: TermsOfService
  url: https://techsee.com/terms-and-conditions/
- type: PrivacyPolicy
  url: https://techsee.com/privacy-policy/
- type: Support
  url: https://techsee.atlassian.net/servicedesk/customer/portal/5
- type: GitHubOrganization
  url: https://github.com/TechSeeDev
- type: Login
  url: https://app.techsee.me/
- type: Packages
  url: packages/techsee-packages.yml
- type: SDKs
  url: packages/techsee-packages.yml
- type: LLMsTxt
  url: llms/techsee-llms.txt
- type: Plans
  url: plans/techsee-plans-pricing.yml
- type: RateLimits
  url: rate-limits/techsee-rate-limits.yml
- type: MCPServer
  url: mcp/techsee-mcp.yml
- type: WellKnown
  url: well-known/techsee-well-known.yml
- type: Authentication
  url: authentication/techsee-authentication.yml
- type: OAuthScopes
  url: scopes/techsee-scopes.yml
- type: Conformance
  url: conformance/techsee-conformance.yml
x-enrichment:
  date: '2026-08-29'
  status: enriched
  artifacts_added: 12
  pass: local-v1

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