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 📡 Profile data on GitHub

22.4/100 emerging ▬ flat Agent 19/100 agent aware Front door AI 6/6 dominant Heartbeat 50/100 alive Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

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

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 22.4/100 · 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 4.4 / 9

Regulatory Posture 4.9 / 15

Agent readiness — 19/100 · 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 Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

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.

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.

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/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

8 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 26.2 — up to +14.8 composite points
Operational Transparency scores 2.6 — up to +12.7 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/techsee/apis.yml: open an issue on github.com/api-evangelist/techsee to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Field Service, Home Services and Trades	standard	29.0 (thin)	-	-
XR & Graphics (XR, 3D, GPU graphics)	standard	29.0 (thin)	-	-
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	standard	29.0 (thin)	-	-
ServiceNow Store (partner apps + ServiceNow Certified App)	standard	29.0 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (platform)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

MCP Servers 1

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

TechSee MCP Server

TechSee serves a live, OAuth-protected Model Context Protocol server from its own domain. It was found not from any TechSee documentation — TechSee documents no MCP surface anyw...

MCP SERVER

TechSee API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Techsee Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Techsee Rate Limits

0 limits

RATE LIMITS

Security Posture 2

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

Techsee Authentication

2 schemes

SECURITY

Techsee Domain Security

TLSv1.3 · HSTS

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Techsee Scopes

1 scope

1 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: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - scopes
  - rate-limits
  - security
  generated: '2026-11-06'
  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 Management
- 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
- Computer-Vision
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

TechSee API — frequently asked questions

How do I authenticate with the TechSee API?

TechSee documents its authentication (2 schemes). The details are profiled on APIs.io as Techsee Authentication.

Does TechSee have an MCP server?

Yes. APIs.io lists 1 MCP server for TechSee: TechSee serves a live, OAuth-protected Model Context Protocol server from its own domain. It was found not from any TechSee documentation — TechSee documents no MCP surface anywhere — but from RFC 972

Is the TechSee API ready for AI agents?

TechSee has a Kin Score of 22.4 out of 100 (emerging) and an Agent Readiness score of 19.1 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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