Lavu
Lavu is a cloud-based iPad restaurant point-of-sale system, now positioned as an AI-powered restaurant intelligence platform, serving restaurants, bars, and hospitality businesses with POS, payments, inventory, and reporting. Lavu promotes an open API that lets developers and restaurants extend the point of sale, build peripheral components, and create tailored integrations without waiting on vendor roadmaps. The POSLavu API is a POST-based interface where a single request server accepts form-encoded credentials (dataname, key, token) plus a table selector and returns XML rows; documented tables include menu_groups, menu_categories, menu_items, tables, orders, order_contents, order_payments, ingredients, and ingredient_usage. Records can be written with cmd=insert and an XML contents payload. Credentials are retrieved from the API tab of the POSLavu Control Panel, and the developer documentation is published at admin.poslavu.com; API access comes with an active Lavu account.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Lavu the way a machine reads it — 35 machine-readable artifacts across 4 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Lavu scores 48.3/100 (developing), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Lavu
Each block below is one kind of artifact we hold for Lavu. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 4
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Lavu Inventory API
Ingredients and ingredient usage.
Lavu Menu API
Menu groups, categories, and items.
Lavu Orders API
Orders, order contents, and payments.
Lavu Tables API
Restaurant floor table layout.
Open Collections 1
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Lavu (POSLavu) API
OPEN COLLECTIONPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Lavu Plans Pricing
PLANSRate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Lavu Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Lavu Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Lavu Poslavu Api Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Lavu API Rules
SPECTRALLavu API Rules
SPECTRALJSON Schema 7
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
MenuCategory
JSON SCHEMAMenuGroup
JSON SCHEMAMenuItem
JSON SCHEMAOrderContent
JSON SCHEMAOrderPayment
JSON SCHEMAOrder
JSON SCHEMATable
JSON SCHEMAScroll within the panel for all 7 ·
JSON Structure 7
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Poslavu Api Menu Category Structure
JSON STRUCTUREPoslavu Api Menu Group Structure
JSON STRUCTUREPoslavu Api Menu Item Structure
JSON STRUCTUREPoslavu Api Order Content Structure
JSON STRUCTUREPoslavu Api Order Payment Structure
JSON STRUCTUREPoslavu Api Order Structure
JSON STRUCTUREPoslavu Api Table Structure
JSON STRUCTUREScroll within the panel for all 7 ·
Examples 7
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Poslavu Api Order Example
EXAMPLEPoslavu Api Table Example
EXAMPLEScroll within the panel for all 7 ·
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Lavu — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/lavu · machine-readable index on apis.io