Simplismart

Simplismart is an AI inference and model-deployment platform that lets teams run, fine-tune, and self-host generative AI models on optimized GPU infrastructure. It offers OpenAI-compatible LLM chat inference (Llama, Qwen, Gemma, Mixtral, DeepSeek), Whisper speech-to-text transcription, and Flux image generation as shared or dedicated endpoints, plus a Training Suite for fine-tuning LLM/VLM and Flux models. A Model Suite handles model compilation, clusters (own-cloud EKS/Kubernetes / bring-your-own-compute), deployments with autoscaling, secrets, quotas, and observability (alerting and metric export to Datadog, New Relic, Prometheus). A Python SDK and `simplismart` CLI cover the full MLOps lifecycle. Simplismart is backed by Accel.

Simplismart publishes 7 API contracts indexed on the APIs.io network, including Chat Completion API, Flux Training API, Llm API, and 4 more. Tagged areas include Company, Artificial Intelligence, Machine Learning, Inference, and LLM.

The Simplismart catalog on APIs.io includes 1 Spectral governance ruleset.

Simplismart’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 24 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

60.2/100 strong ▬ flat Agent 26/100 agent aware Front door AI 5/6 prominent Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

18 published contracts 3 Agent Skills

Company Artificial Intelligence Machine Learning Inference LLM Model Deployment Fine-Tuning MLOps GPU Speech-to-Text Image Generation

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information & Data Management

BC-610

Chat CompletionFluxFlux TrainingLlmModelSpeech to Text

POST /job/ GET /job/metrics/ GET /api/flux/training_job/get/mlflow-metrics/ GET /api/llm/training_job/list/

Kin Score

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

Composite quality — 60.2/100 · strong

Contract Quality 10.0 / 19

Developer Ergonomics 12.1 / 15

Access Clarity 15.0 / 15

Operational Transparency 0.0 / 10

Contract Governance 1.6 / 9

Discoverability 5.9 / 8

Regulatory Posture 4.1 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 26/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 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 AI & Biometrics 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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)

7 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Operational Transparency scores 0.0 — up to +13.0 composite points
Contract Quality scores 53.4 — up to +11.7 composite points
Contract Governance scores 18.2 — up to +9.8 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/simplismart/apis.yml: open an issue on github.com/api-evangelist/simplismart 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Speech and Voice AI	covered	40.2	-	-
Hugging Face Hub Organisations	covered	40.2	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

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.

OpenAPI

measured — observed by APIs.io (published)

APIs 7

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

Simplismart Chat Completion API

Large Language Model chat completion services

Simplismart Flux Training API

Flux model training endpoints

Simplismart Llm API

The Llm API from Simplismart — 1 operation(s) for llm.

Simplismart Metrics API

Performance and usage metrics for LLM requests

Simplismart Model API

The Model API from Simplismart — 1 operation(s) for model.

Simplismart Speech to Text API

The Speech to Text API from Simplismart — 2 operation(s) for speech to text.

Simplismart Training API

LLM/VLM model training endpoints

Scroll for all 7

Open Collections 8

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

DeepSeek R1 Distil Qwen-32B Chat Completion API

OPEN COLLECTION

DeepSeek R1 Distil Qwen-32B Chat Completion Flux API

OPEN COLLECTION

DeepSeek R1 Distil Qwen-32B Chat Completion Flux Training API

OPEN COLLECTION

DeepSeek R1 Distil Qwen-32B Chat Completion Llm API

OPEN COLLECTION

DeepSeek R1 Distil Qwen-32B Chat Completion Metrics API

OPEN COLLECTION

DeepSeek R1 Distil Qwen-32B Chat Completion Model API

OPEN COLLECTION

DeepSeek R1 Distil Qwen-32B Chat Completion Speech to Text API

OPEN COLLECTION

DeepSeek R1 Distil Qwen-32B Chat Completion Training API

OPEN COLLECTION

Scroll for all 8

Agent Skills 3

Packaged agent skills for driving this provider's APIs from an AI assistant.

Start and monitor an LLM/VLM fine-tuning job on Simplismart

AGENT SKILL

Run an LLM chat completion on Simplismart

AGENT SKILL

Transcribe or translate audio with Whisper on Simplismart

AGENT SKILL

Simplismart API pricing

Prices published by Simplismart, read 2026-09-20 from www.simplismart.ai/pricing.

Plan	Price
DeepSeek-R1	$3.90 per 1M tokens
DeepSeek-V3	$0.90 per 1M tokens
Gemma 3 4B	$0.10 per 1M tokens
Gemma 3 1B	$0.06 per 1M tokens
Llama 3.1 405B	$3.00 per 1M tokens
Llama 3.1 70B	$0.74 per 1M tokens
Llama 3.1 8B	$0.13 per 1M tokens
Phi-3 128K	$0.08 per 1M tokens

All 24 plans, limits and sources →

Billed by: 1m tokens · FinOps profile →

Pricing Plans 1

Published pricing tiers and plan structures.

Simplismart Plans Pricing

24 plans

PLANS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Simplismart

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Simplismart Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Simplismart API Rules

57 rules · 47 errors 5 warnings 5 info

SPECTRAL

OpenAPI Overlays 2

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Simplismart Flux Dev Overlay

2 actions · update · simplismart-flux-dev-openapi.yml

DERIVED

Simplismart Llm Training Overlay

2 actions · update · simplismart-llm-training-openapi.yml

DERIVED

Security Posture 3

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

Simplismart Authentication

http · 1 scheme

SECURITY

Simplismart Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Simplismart Trust Center

SOC 2, ISO 27001, HIPAA, GDPR

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Simplismart Agentic Access

25 operations · 15 acting

AGENTIC

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

GettingStarted

SignUp

Sandbox

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

AgentSkill

LLMsTxt

AgenticAccess

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

ErrorCatalog

Conventions

Conformance

DataModel

Build 3

SDKs, sample code, and the tooling you integrate with

Packages

Packages

SDKs

SDKs

CLI

CLI

Access & Security 4

Authentication, authorization, and security posture

Authentication

Compliance

DomainSecurity

TrustCenter

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 3

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Overlay

Overlay

Overlay

Overlay

Source (apis.yml)

aid: simplismart
name: Simplismart
description: Simplismart is an AI inference and model-deployment platform that lets teams run, fine-tune, and self-host generative
  AI models on optimized GPU infrastructure. It offers OpenAI-compatible LLM chat inference (Llama, Qwen, Gemma, Mixtral,
  DeepSeek), Whisper speech-to-text transcription, and Flux image generation as shared or dedicated endpoints, plus a Training
  Suite for fine-tuning LLM/VLM and Flux models. A Model Suite handles model compilation, clusters (own-cloud EKS/Kubernetes
  / bring-your-own-compute), deployments with autoscaling, secrets, quotas, and observability (alerting and metric export
  to Datadog, New Relic, Prometheus). A Python SDK and `simplismart` CLI cover the full MLOps lifecycle. Simplismart is backed
  by Accel.
url: https://raw.githubusercontent.com/api-evangelist/simplismart/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- accel
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: high
  source:
  - plans
  - authentication
  - security
  - sandbox
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
image: https://cdn.prod.website-files.com/688cd7a9d1e409a52d962d73/689a55919a5ee5abe9a2ed5e_meta.png
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-04
x-docs-hosting: vercel
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Inference
- LLM
- Model Deployment
- Fine-Tuning
- MLOps
- GPU
- Speech-to-Text
- Image Generation
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Inference
- LLM
- Model Deployment
- Fine-Tuning
- MLOps
- GPU
- Speech to Text
- Image Generation
- Machine-Learning
- Image-Generation
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- aid: simplismart:simplismart-chat-completion-api
  name: Simplismart Chat Completion API
  description: Large Language Model chat completion services
  humanURL: https://docs.simplismart.ai/api-reference/introduction
  baseURL: https://api.simplismart.live
  tags:
  - Chat Completions
  tags_raw:
  - Chat Completion
  properties:
  - type: OpenAPI
    url: openapi/simplismart-chat-completion-api-openapi.yml
- aid: simplismart:simplismart-flux-training-api
  name: Simplismart Flux Training API
  description: Flux model training endpoints
  humanURL: https://docs.simplismart.ai/api-reference/introduction
  baseURL: https://api.simplismart.live
  tags:
  - Flux Training
  properties:
  - type: OpenAPI
    url: openapi/simplismart-flux-training-api-openapi.yml
- aid: simplismart:simplismart-llm-api
  name: Simplismart Llm API
  description: The Llm API from Simplismart — 1 operation(s) for llm.
  humanURL: https://docs.simplismart.ai/api-reference/introduction
  baseURL: https://api.simplismart.live
  tags:
  - LLM
  tags_raw:
  - Llm
  properties:
  - type: OpenAPI
    url: openapi/simplismart-llm-api-openapi.yml
- aid: simplismart:simplismart-metrics-api
  name: Simplismart Metrics API
  description: Performance and usage metrics for LLM requests
  humanURL: https://docs.simplismart.ai/api-reference/introduction
  baseURL: https://api.simplismart.live
  tags:
  - Metrics
  properties:
  - type: OpenAPI
    url: openapi/simplismart-metrics-api-openapi.yml
- aid: simplismart:simplismart-model-api
  name: Simplismart Model API
  description: The Model API from Simplismart — 1 operation(s) for model.
  humanURL: https://docs.simplismart.ai/api-reference/introduction
  baseURL: https://api.simplismart.live
  tags:
  - Model
  properties:
  - type: OpenAPI
    url: openapi/simplismart-model-api-openapi.yml
- aid: simplismart:simplismart-speech-to-text-api
  name: Simplismart Speech to Text API
  description: The Speech to Text API from Simplismart — 2 operation(s) for speech to text.
  humanURL: https://docs.simplismart.ai/api-reference/introduction
  baseURL: https://api.simplismart.live
  tags:
  - Speech-to-Text
  tags_raw:
  - Speech to Text
  properties:
  - type: OpenAPI
    url: openapi/simplismart-speech-to-text-api-openapi.yml
- aid: simplismart:simplismart-training-api
  name: Simplismart Training API
  description: LLM/VLM model training endpoints
  humanURL: https://docs.simplismart.ai/api-reference/introduction
  baseURL: https://api.simplismart.live
  tags:
  - Training
  properties:
  - type: OpenAPI
    url: openapi/simplismart-training-api-openapi.yml
common:
- type: Plans
  url: plans/simplismart-plans-pricing.yml
- type: CapabilityMap
  url: capabilities/simplismart-capability-edges.yml
  name: Simplismart Business Capability Map
- type: Website
  url: https://www.simplismart.ai/
- type: DeveloperPortal
  url: https://docs.simplismart.ai/
- type: Documentation
  url: https://docs.simplismart.ai/overview
- type: APIReference
  url: https://docs.simplismart.ai/api-reference/introduction
- type: GettingStarted
  url: https://docs.simplismart.ai/quickstart/inference
- type: Support
  url: https://www.simplismart.ai/contact
- type: Blog
  url: https://www.simplismart.ai/blogs
- type: Pricing
  url: https://www.simplismart.ai/pricing
- type: SignUp
  url: https://app.simplismart.ai/
- type: TermsOfService
  url: https://www.simplismart.ai/terms-of-service
- type: PrivacyPolicy
  url: https://www.simplismart.ai/privacy-policy
- type: Authentication
  url: authentication/simplismart-authentication.yml
- type: Packages
  url: packages/simplismart-packages.yml
- type: SDKs
  url: packages/simplismart-packages.yml
- type: CLI
  url: cli/simplismart-cli.yml
- type: X-MCPServerCandidate
  url: mcp/simplismart-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/simplismart-llms.txt
- type: ErrorCatalog
  url: errors/simplismart-problem-types.yml
- type: Conventions
  url: conventions/simplismart-conventions.yml
- type: Conformance
  url: conformance/simplismart-conformance.yml
- type: Compliance
  url: https://security.simplismart.ai/
- type: Sandbox
  url: sandbox/simplismart-sandbox.yml
- type: DataModel
  url: data-model/simplismart-data-model.yml
- type: Overlay
  url: overlays/simplismart-flux-dev-overlay.yaml
- type: Overlay
  url: overlays/simplismart-llm-training-overlay.yaml
- type: AgenticAccess
  url: agentic-access/simplismart-agentic-access.yml
- type: DomainSecurity
  url: security/simplismart-domain-security.yml
- type: TrustCenter
  url: security/simplismart-trust-center.yml
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 39
  pass: local-v1

Simplismart API — frequently asked questions

Does Simplismart have an API?

Yes. APIs.io lists 7 APIs from Simplismart, including Simplismart Chat Completion API, Simplismart Flux Training API and Simplismart Llm API, and 4 more.

Is there an OpenAPI specification for the Simplismart API?

Yes. APIs.io indexes 7 OpenAPI specifications for Simplismart, each linked for download from this page.

How do I authenticate with the Simplismart API?

Simplismart uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Simplismart Authentication.

How much does the Simplismart API cost?

Simplismart publishes its prices; its DeepSeek-R1 plan is $3.90 per 1M tokens as of 2026-09-20. APIs.io lists 24 pricing plans for Simplismart, with each plan's price, limits and inclusions under Pricing on this page.

Is the Simplismart API ready for AI agents?

Simplismart has a Kin Score of 60.2 out of 100 (strong) and an Agent Readiness score of 25.5 (agent-aware), scored by API Evangelist on 2026-11-06.

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