Lastro

Lastro is a Brazilian proptech company building artificial intelligence for the real estate market. Its product, Lais (lais.ai), is a generative-AI platform for real estate agencies that engages and qualifies inbound leads over WhatsApp and other channels, then follows the customer journey from first contact through to a closed deal — covering property listing and management, marketing and lead generation, pre-qualification, visit scheduling, administrative service and strategic reporting. Human agents and the AI work the same queue inside Casa da Lais, the operator dashboard. Lastro reports more than 1,000 real estate agency customers, over 5 million people served and more than R$ 12 billion in sales volume (VGV) managed in Brazil. The company is backed by Prosus Ventures and QED Investors. Lastro publishes no public developer API; the only programmatic surface found is the Wix platform-provisioned site MCP endpoint on lastro.co.

Lastro is profiled on the APIs.io network. Tagged areas include Company, Proptech, Real Estate, Artificial Intelligence, and Brazil.

Lastro’s developer surface includes engineering blog, support, and 12 more developer resources.

🌐 Visit website 📡 Source on GitHub

18.7/100 emerging ▬ flat Agent 12/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs 1 MCP Servers

CompanyProptechReal EstateArtificial IntelligenceBrazilLead ManagementConversational AIWhatsApp

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 18.7/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 3.0 / 20

Commercial Clarity 6.8 / 20

Operational Transparency 2.1 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 12/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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

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/lastro: 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.

Get Started 1

Portal, sign-up, and the first successful call

Login

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Build 1

SDKs, sample code, and the tooling you integrate with

Packages

Packages

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

ProductWebsite

ProductWebsite

Blog

Blog

Source (apis.yml)

aid: lastro
name: Lastro
description: Lastro is a Brazilian proptech company building artificial intelligence for the real estate market. Its product,
  Lais (lais.ai), is a generative-AI platform for real estate agencies that engages and qualifies inbound leads over WhatsApp
  and other channels, then follows the customer journey from first contact through to a closed deal — covering property listing
  and management, marketing and lead generation, pre-qualification, visit scheduling, administrative service and strategic
  reporting. Human agents and the AI work the same queue inside Casa da Lais, the operator dashboard. Lastro reports more
  than 1,000 real estate agency customers, over 5 million people served and more than R$ 12 billion in sales volume (VGV)
  managed in Brazil. The company is backed by Prosus Ventures and QED Investors. Lastro publishes no public developer API;
  the only programmatic surface found is the Wix platform-provisioned site MCP endpoint on lastro.co.
url: https://raw.githubusercontent.com/api-evangelist/lastro/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://static.wixstatic.com/media/f95461_58b762df582a4769ac134f3de7a902a9%7Emv2.jpg/v1/fit/w_2500,h_1330,al_c/f95461_58b762df582a4769ac134f3de7a902a9%7Emv2.jpg
x-type: company
x-source: vc-portfolio
x-backed-by:
- prosus-ventures
- qed-investors
x-tier: stub
x-tier-reason: portfolio-lead
x-no-public-api: true
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Proptech
- Real Estate
- Artificial Intelligence
- Brazil
- Lead Management
- Conversational AI
- WhatsApp
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://lastro.co
- type: ProductWebsite
  url: https://lais.ai
- type: Blog
  url: https://lais.ai/blog
- type: Support
  url: https://suporte.lais.ai
- type: Login
  url: https://casa.lais.ai
- type: TermsOfService
  url: https://www.lastro.co/termos-de-uso
- type: PrivacyPolicy
  url: https://www.lastro.co/politica-de-privacidade
- type: StatusPage
  url: https://status.lais.ai/
- type: Lifecycle
  url: lifecycle/lastro-lifecycle.yml
- type: MCPServer
  url: mcp/lastro-mcp.yml
- type: LLMsTxt
  url: llms/lastro-llms.txt
- type: LLMsTxt
  name: Lais llms.txt
  url: llms/lastro-lais-llms.txt
- type: Packages
  url: packages/lastro-packages.yml
- type: DomainSecurity
  url: security/lastro-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence