BentoML
BentoML is an open-source unified inference platform for building, packaging, and deploying machine learning models as scalable REST API services. Developers define services using Python class decorators that automatically expose model inference logic as HTTP endpoints. BentoCloud, the managed cloud offering, provides autoscaling infrastructure, GPU instance provisioning, scale-to-zero cost optimization, and a control-plane API for programmatic deployment lifecycle management. The platform supports all major ML frameworks including PyTorch, TensorFlow, Transformers, ONNX, XGBoost, and Scikit-Learn, and is licensed under Apache 2.0.
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 BentoML the way a machine reads it — 71 machine-readable artifacts across 62 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 — BentoML scores 53.2/100 (developing), with a separate agent-readiness read of 55/100 (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.
How we profile BentoML
Each block below is one kind of artifact we hold for BentoML. 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 62
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.
BentoML Service REST API
Auto-generated REST API endpoints produced when BentoML services are deployed. Each decorated service method becomes an HTTP POST endpoint. Supports custom routes, path prefixes...
BentoML Python SDK
Core Python SDK for packaging models as Bentos, managing the model store, building container images, and interacting with BentoML services programmatically including client-side...
BentoCloud API Token Management
API for creating, listing, retrieving, and deleting API tokens used to authenticate with BentoCloud services. Supports scoped tokens with granular permissions including API acce...
BentoML admin api v1 API
admin api v1
BentoML admin deployment resource API
admin deployment resource
BentoML api token resource API
api token resource
BentoML api tokens API
api tokens
BentoML api v1 API
api v1
BentoML auth API
auth api
BentoML bento repositories API
bento repositories
BentoML bento repositories statistics API
bento repositories statistics
BentoML bento repository resource API
bento repository resource
BentoML bento resource API
bento resource
BentoML bentos API
bentos
BentoML certified bento repositories API
certified bento repositories
BentoML cluster deployments API
cluster deployments
BentoML cluster resource API
cluster resource
BentoML cluster resource for admin panel API
cluster resource for admin panel
BentoML clusters API
clusters
BentoML clusters for admin panel API
clusters for admin panel
BentoML current organization resource API
current organization resource
BentoML customer resource API
customer resource
BentoML customers API
customers api
BentoML deployment resource API
deployment resource
BentoML deployment revision resource API
deployment revision resource
BentoML deployment revisions API
deployment revisions
BentoML deployment v2 revision resource API
deployment revision resource
BentoML deployment v2 revisions API
deployment revisions
BentoML endpoint resource API
endpoint resource
BentoML gpu config resource API
gpu config resource
BentoML gpu configs API
gpu configs
BentoML host cluster resource API
host cluster resource
BentoML host_clusters API
host_clusters
BentoML instance_types API
instance_types
BentoML labels API
labels
BentoML lago billable metrics API
lago billable metrics api
BentoML lago customer API
lago customer api
BentoML lago plan API
lago plan api
BentoML limit group resource API
limit group resource
BentoML limit groups API
limit groups
BentoML model repositories API
model repositories
BentoML model repository resource API
model repository resource
BentoML model resource API
model resource
BentoML models API
models
BentoML org resource for admin panel API
org resource for admin panel
BentoML organization resource API
organization resource
BentoML organization secrets API
organization secrets
BentoML organization secrets with check message API
organization secrets with check message
BentoML organization secrets with template API
organization secrets with template
BentoML plans API
plans
BentoML request quota API
request quota
BentoML resource instance resource API
resource instance resource
BentoML resource instances API
resource instances
BentoML secret names API
secret names
BentoML slim bento repositories API
slim bento repositories
BentoML terminal record resource API
terminal record resource
BentoML usage API
usage resource
BentoML user resource API
user resource
BentoML users API
users api
BentoML websocket v1 API
websocket v1
BentoML websocket v2 API
websocket v2
BentoML yatai components API
yatai components
Scroll within the panel for all 62 ·
Pricing 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.
Rate 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.
Bentoml 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.
Bentoml 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.
Bentoml Context
JSON-LDSpectral Rules 1
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.
BentoML API Rules
SPECTRALJSON Schema 1
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.
BentoML / BentoCloud API Schemas
JSON SCHEMASecurity 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 BentoML — 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.
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
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
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/bentoml · machine-readable index on apis.io