Zluri
Zluri is a SaaS management and operations platform that helps organizations discover, govern, and optimize all their cloud applications. By connecting to SSO, finance, HR systems, and app APIs, it builds a unified system of record for SaaS usage, users, licenses, and spend. IT, finance, and procurement teams use Zluri to surface shadow IT, eliminate redundant or underused tools, rightsize licenses, and manage renewals and vendor relationships.
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 Zluri the way a machine reads it — 69 machine-readable artifacts across 1 API, 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 — Zluri scores 46.9/100 (developing), with a separate agent-readiness read of 28/100 (agent aware). 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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
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How we profile Zluri
Each block below is one kind of artifact we hold for Zluri. 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.
Zluri Data Upload API
Upload snapshot and fact data within a sync session. Snapshot data represents current state, while fact data represents historical events. Data must be uploaded in paginated bat...
Zluri Instances API
Manage integration instances for syncing data with Zluri.
Zluri Syncs API
Create and manage sync sessions for uploading data to Zluri. A sync must be created before uploading data, and finished after all data is uploaded.
Zluri Webhooks API
Manage webhooks for receiving real-time notifications from Zluri.
Postman Collections 4
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
Zluri Data Upload API
POSTMANZluri Data Upload Syncs API
POSTMANOpen Collections 6
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).
API Collection
OPEN COLLECTIONZluri API
OPEN COLLECTIONZluri Data Upload API
OPEN COLLECTIONZluri Data Upload Instances API
OPEN COLLECTIONZluri Data Upload Syncs API
OPEN COLLECTIONZluri Data Upload Webhooks 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 things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
Zluri 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.
Zluri 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.
Zluri Finops
FINOPSFeatures 20
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
SaaS Management
Access Management
Access Requests
Access Reviews
SOC 2
ISO 27001
HIPAA
SOX ITGC
PCI DSS
User Activity Patterns
Manage Renewals
SaaS Discovery
Security Policies
Optimize Spends
Smart Contracts
Renewal Management
Integrations
Provisioning
Deprovisioning
Time Bound Access Controls
Scroll within the panel for all 20 ·
Semantic 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.
Zluri 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.
Zluri API Rules
SPECTRALZluri API Rules
SPECTRALJSON Schema 6
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.
Zluri API Error
JSON SCHEMAZluri Fact Data Upload
JSON SCHEMAZluri Integration Instance
JSON SCHEMAZluri Snapshot Data Upload
JSON SCHEMAZluri Sync Session
JSON SCHEMAZluri Webhook
JSON SCHEMAJSON Structure 6
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.
Error Structure
JSON STRUCTUREFact Data Upload Structure
JSON STRUCTUREInstance Structure
JSON STRUCTURESnapshot Data Upload Structure
JSON STRUCTURESync Structure
JSON STRUCTUREWebhook Structure
JSON STRUCTUREExamples 5
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.
Zluri Create Sync Example
EXAMPLEZluri Create Webhook Example
EXAMPLEZluri List Instances Example
EXAMPLESecurity Posture 4
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.
Use Cases 7
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Identity Visibility
Application Visibility
Uncover Shadow IT
Monitor AI Apps
Identity Lifecycle Management
Access Requests
Access Reviews
Scroll within the panel for all 7 ·
Resources
Every other property we hold for Zluri — 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.
Get Started 1
Portal, sign-up, and the first successful call
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/zluri · machine-readable index on apis.io
This is an independent, third-party profile of Zluri, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
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