Wenrix

Wenrix is an AI infrastructure company for the travel industry, providing embedded AI that helps Online Travel Agencies (OTAs) and Travel Management Companies (TMCs) drive revenue and operational efficiency from search through post-trip servicing. Founded in 2017 and backed by Insight Partners, Wenrix processes roughly $12 billion in annual air volume across 60+ global OTAs and TMCs. Its platform is delivered as three API-first products: FareSight, a predictive price-assurance engine that optimizes pricing across EDIFACT, NDC, GDS, aggregators, and low-cost carriers at both search and post-booking stages; FlexEngine, a flight-flexibility solution offering short- and long-term flexibility, refund guarantees, and price-lock through a single API; and DeepFlow, a post-booking servicing automation layer that automates cancellations, refunds, and changes at 93%+ automation rates and is available as either an API or an MCP (Model Context Protocol) Server. Wenrix operates from offices in Tel Aviv, New York, and Barcelona.

Wenrix is listed with 3 APIs on the APIs.io network. Tagged areas include Company, Travel, Airlines, Booking, and Artificial Intelligence.

Wenrix’s developer surface includes documentation, engineering blog, signup flow, and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

14.5/100 emerging ▬ flat Agent 4/100 human only Front door AI 6/6 dominant Heartbeat 39/100 slowing saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

3 APIs 1 MCP Servers

Company Travel Airlines Booking Artificial Intelligence Automation Pricing MCP

Kin Score

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

Composite quality — 14.5/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 2.0 / 17

Access Clarity 4.7 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 6.0 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 4/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 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 Horizontal (data, software, accessibility, platform) 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
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
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

12 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 11.9 — up to +17.6 composite points
Access Clarity scores 27.6 — up to +14.5 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/wenrix/apis.yml: open an issue on github.com/api-evangelist/wenrix 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 →

Standards implemented 1

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 (documented)

APIs 3

Individual APIs this provider publishes, each with its own machine-readable definition.

Wenrix FareSight API

Predictive price-assurance API that optimizes fares across EDIFACT, NDC, GDS, aggregators, and low-cost carriers, applying margin protection at both the search and post-booking ...

Wenrix FlexEngine API

Flight-flexibility API delivering short- and long-term flexibility options, refund guarantees, and price-lock capabilities through a single unified integration.

Wenrix DeepFlow API

Post-booking servicing automation API that automates cancellations, refunds, and changes at 93%+ automation across all content sources, with a conversational servicing layer ava...

MCP Servers 1

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

Wenrix MCP Server

MCP SERVER

Security Posture 1

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

Wenrix Domain Security

TLSv1.3 · DNSSEC · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

BlogRSS

Website

Blog

About

Source (apis.yml)

aid: wenrix
name: Wenrix
description: 'Wenrix is an AI infrastructure company for the travel industry, providing embedded AI that helps Online Travel
  Agencies (OTAs) and Travel Management Companies (TMCs) drive revenue and operational efficiency from search through post-trip
  servicing. Founded in 2017 and backed by Insight Partners, Wenrix processes roughly $12 billion in annual air volume across
  60+ global OTAs and TMCs. Its platform is delivered as three API-first products: FareSight, a predictive price-assurance
  engine that optimizes pricing across EDIFACT, NDC, GDS, aggregators, and low-cost carriers at both search and post-booking
  stages; FlexEngine, a flight-flexibility solution offering short- and long-term flexibility, refund guarantees, and price-lock
  through a single API; and DeepFlow, a post-booking servicing automation layer that automates cancellations, refunds, and
  changes at 93%+ automation rates and is available as either an API or an MCP (Model Context Protocol) Server. Wenrix operates
  from offices in Tel Aviv, New York, and Barcelona.'
url: https://raw.githubusercontent.com/api-evangelist/wenrix/refs/heads/main/apis.yml
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:
  - security
  generated: '2026-11-06'
  method: derived
image: https://www.wenrix.com/wp-content/themes/wenrixTheme/assets/img/logo.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
x-tier: profiled
x-tier-reason: portfolio-lead-enriched
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-10-17
tags:
- Company
- Travel
- Airlines
- Booking
- Artificial Intelligence
- Automation
- Pricing
- MCP
tags_raw:
- Company
- Travel
- Airlines
- Booking
- Artificial Intelligence
- Automation
- Pricing
- MCP
- Model Context Protocol
apis:
- name: Wenrix FareSight API
  description: Predictive price-assurance API that optimizes fares across EDIFACT, NDC, GDS, aggregators, and low-cost carriers,
    applying margin protection at both the search and post-booking stages.
  humanURL: https://www.wenrix.com/wenrix-faresight/
  baseURL: https://docs.wenrix.com/
  tags:
  - Pricing
  - Airlines
  - Fares
  properties:
  - type: Documentation
    url: https://docs.wenrix.com/
- name: Wenrix FlexEngine API
  description: Flight-flexibility API delivering short- and long-term flexibility options, refund guarantees, and price-lock
    capabilities through a single unified integration.
  humanURL: https://www.wenrix.com/wenrix-flexengine/
  baseURL: https://docs.wenrix.com/
  tags:
  - Flexibility
  - Refunds
  - Airlines
  properties:
  - type: Documentation
    url: https://docs.wenrix.com/
- name: Wenrix DeepFlow API
  description: Post-booking servicing automation API that automates cancellations, refunds, and changes at 93%+ automation
    across all content sources, with a conversational servicing layer available as either a REST API or an MCP (Model Context
    Protocol) Server.
  humanURL: https://www.wenrix.com/wenrix-deepflow/
  baseURL: https://docs.wenrix.com/
  tags:
  - Servicing
  - Automation
  - MCP
  properties:
  - type: Documentation
    url: https://docs.wenrix.com/
  - type: MCPServer
    url: mcp/wenrix-mcp.yml
common:
- url: https://www.wenrix.com/feed/
  type: BlogRSS
- type: DomainSecurity
  url: security/wenrix-domain-security.yml
- type: Website
  url: https://www.wenrix.com/
- type: DeveloperPortal
  url: https://docs.wenrix.com/
- type: Documentation
  url: https://docs.wenrix.com/
- type: Blog
  url: https://www.wenrix.com/blog/
- type: About
  url: https://www.wenrix.com/about-us/
- type: TermsOfService
  url: https://www.wenrix.com/tcs/
- type: PrivacyPolicy
  url: https://www.wenrix.com/privacy-policy/
- type: SignUp
  url: https://docs.wenrix.com/
- type: MCPServer
  url: mcp/wenrix-mcp.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 3
  pass: local-v1

Wenrix API — frequently asked questions

Does Wenrix have an API?

Yes. APIs.io lists 3 APIs from Wenrix, including Wenrix FareSight API, Wenrix FlexEngine API and Wenrix DeepFlow API.

Does Wenrix have an MCP server?

Yes. APIs.io lists 1 MCP server for Wenrix.

Is the Wenrix API ready for AI agents?

Wenrix has a Kin Score of 14.5 out of 100 (emerging) and an Agent Readiness score of 3.5 (human-only), scored by API Evangelist on 2026-11-06.

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