Lamini website screenshot

Lamini

Lamini is an enterprise LLM platform for fine-tuning, tuning, and serving custom open models. Its Memory Tuning approach embeds factual recall into models to reduce hallucination, and the platform exposes a REST API for inference (completions), fine-tuning jobs, classification, and embeddings over open base models, deployable in Lamini's cloud, on-demand GPU cluster, or on-premises.

Lamini publishes 6 API contracts indexed on the APIs.io network, including Embeddings API, Classifier API, Completions API, and 3 more. Tagged areas include Artificial Intelligence, LLM, Fine-Tuning, Memory Tuning, and Inference.

Lamini’s developer surface includes authentication, documentation, and 9 more developer resources.

🌐 Visit website📡 Profile data on GitHub
25.2/100 emerging ▬ flat Agent 30/100 agent ready saas Full breakdown ↓
scored 2026-10-23 · rubric v0.25.0 · Show this score on your site →
AccessPaid
1 published contract
Artificial IntelligenceLLMFine-TuningMemory TuningInference

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
ClassifyFine TuningInference

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-23 · rubric v0.25.0
Composite quality — 25.2/100 · emerging
Contract Quality 8.7 / 19
Developer Ergonomics 4.5 / 15
Access Clarity 0.8 / 15
Operational Transparency 1.0 / 10
Contract Governance 0.0 / 9
Discoverability 5.0 / 8
Regulatory Posture 1.6 / 15
Create-or-Update Ergonomics 0.0 / 10
Agent readiness — 30/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
Documented Reversibility 6 / 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 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 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 0 / 3
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) 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/.
Show this score on your site. Kin Score badge preview for Lamini It updates itself when the score changes. Paste this where you link to your API docs: 
<a href="https://apis.io/providers/lamini/"><img src="https://apis.io/badge/lamini/card.svg" alt="Lamini on APIs.io — Kin Score by API Evangelist"></a>
Other styles, a README pill and a shields.io endpoint are on the badge page.
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 github.com/api-evangelist/lamini: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

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.

The OpenAI Interface
declared — publishes a spec that declares them
2 core of 338 operations graded · api-commons/models

APIs 6

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

Lamini Embeddings API

Text embedding generation.

Lamini Classifier API

Classify text into categories.

Lamini Completions API

Run inference on your tuned models or base open source models.

Lamini memory rag API

The memory rag API from Lamini — 5 operation(s) for memory rag.

Lamini model management API

Manages models stored on your Lamini Platform.

Lamini Train API

Create and manage model training jobs.

Open Collections 6

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

Lamini Platform Classify API

OPEN COLLECTION

Lamini Platform Classify Embeddings API

OPEN COLLECTION

Lamini Platform Classify Fine-Tuning API

OPEN COLLECTION

Lamini Platform Classify Inference API

OPEN COLLECTION

Lamini Classify Platform API

OPEN COLLECTION

Lamini Platform API

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Lamini Plans Pricing

2 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Lamini Rate Limits

4 limits

RATE LIMITS

FinOps 1

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

Lamini Finops

FINOPS

Security Posture 2

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

Lamini Authentication

http · 1 scheme

SECURITY

Lamini Domain Security

TLSv1.3 · DMARC

SECURITY

Agentic Access 1

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

Lamini Agentic Access

12 operations · 9 acting

12 operations · 9 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess
AgenticAccess

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity
 Authentication
Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits
RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans
Plans
 FinOps
FinOps

Company 2

The organization behind the API

LinkedIn
LinkedIn
 Website
Website

Other 1

Properties that don't map to a standard resource type

CapabilityMap
CapabilityMap

Source (apis.yml)

apis.yml Raw ↑ 
aid: lamini
url: https://raw.githubusercontent.com/api-evangelist/lamini/refs/heads/main/apis.yml
name: Lamini
kind: company
description: Lamini is an enterprise LLM platform for fine-tuning, tuning, and serving custom open models. Its Memory Tuning
  approach embeds factual recall into models to reduce hallucination, and the platform exposes a REST API for inference (completions),
  fine-tuning jobs, classification, and embeddings over open base models, deployable in Lamini's cloud, on-demand GPU cluster,
  or on-premises.
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: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/lamini.png
x-docs-platform: mkdocs
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-03
tags:
- Artificial Intelligence
- LLM
- Fine-Tuning
- Memory Tuning
- Inference
tags_raw:
- AI
- LLM
- Fine-Tuning
- Memory Tuning
- Inference
created: '2026-06-20'
modified: '2026-06-20'
specificationVersion: '0.23'
apis:
- aid: lamini:lamini-embeddings-api
  name: Lamini Embeddings API
  description: Text embedding generation.
  humanURL: https://docs.lamini.ai/api/
  baseURL: https://api.lamini.ai
  tags:
  - Embeddings
  properties:
  - type: OpenAPI
    url: openapi/lamini-embeddings-api-openapi.yml
  - type: Documentation
    url: https://docs.lamini.ai/inference/quick_start/
  - type: APIReference
    url: https://docs.lamini.ai/api/
  - type: PostmanCollection
    url: collections/lamini.postman_collection.json
  - type: Documentation
    url: https://docs.lamini.ai/tuning/quick_start/
  - type: Documentation
    url: https://docs.lamini.ai/classify/quick_start/
  - type: Documentation
    url: https://docs.lamini.ai/api/
- aid: lamini:lamini-classifier-api
  name: Lamini Classifier API
  description: Classify text into categories.
  humanURL: https://docs.lamini.ai/api/
  baseURL: https://api.lamini.ai
  tags:
  - Classifier
  tags_raw:
  - classifier
  properties:
  - type: OpenAPI
    url: openapi/lamini-classifier-api-openapi.yml
  - type: Documentation
    url: https://docs.lamini.ai/inference/quick_start/
  - type: APIReference
    url: https://docs.lamini.ai/api/
  - type: PostmanCollection
    url: collections/lamini.postman_collection.json
  - type: Documentation
    url: https://docs.lamini.ai/tuning/quick_start/
  - type: Documentation
    url: https://docs.lamini.ai/classify/quick_start/
  - type: Documentation
    url: https://docs.lamini.ai/api/
- aid: lamini:lamini-completions-api
  name: Lamini Completions API
  description: Run inference on your tuned models or base open source models.
  humanURL: https://docs.lamini.ai/api/
  baseURL: https://api.lamini.ai
  tags:
  - Completions
  tags_raw:
  - completions
  properties:
  - type: OpenAPI
    url: openapi/lamini-completions-api-openapi.yml
  - type: Documentation
    url: https://docs.lamini.ai/inference/quick_start/
  - type: APIReference
    url: https://docs.lamini.ai/api/
  - type: PostmanCollection
    url: collections/lamini.postman_collection.json
  - type: Documentation
    url: https://docs.lamini.ai/tuning/quick_start/
  - type: Documentation
    url: https://docs.lamini.ai/classify/quick_start/
  - type: Documentation
    url: https://docs.lamini.ai/api/
- aid: lamini:lamini-memory-rag-api
  name: Lamini memory rag API
  description: The memory rag API from Lamini — 5 operation(s) for memory rag.
  humanURL: https://docs.lamini.ai/api/
  baseURL: https://api.lamini.ai
  tags:
  - memory rag
  properties:
  - type: OpenAPI
    url: openapi/lamini-memory-rag-api-openapi.yml
  - type: Documentation
    url: https://docs.lamini.ai/inference/quick_start/
  - type: APIReference
    url: https://docs.lamini.ai/api/
  - type: PostmanCollection
    url: collections/lamini.postman_collection.json
  - type: Documentation
    url: https://docs.lamini.ai/tuning/quick_start/
  - type: Documentation
    url: https://docs.lamini.ai/classify/quick_start/
  - type: Documentation
    url: https://docs.lamini.ai/api/
- aid: lamini:lamini-model-management-api
  name: Lamini model management API
  description: Manages models stored on your Lamini Platform.
  humanURL: https://docs.lamini.ai/api/
  baseURL: https://api.lamini.ai
  tags:
  - Model Management
  tags_raw:
  - model management
  properties:
  - type: OpenAPI
    url: openapi/lamini-model-management-api-openapi.yml
  - type: Documentation
    url: https://docs.lamini.ai/inference/quick_start/
  - type: APIReference
    url: https://docs.lamini.ai/api/
  - type: PostmanCollection
    url: collections/lamini.postman_collection.json
  - type: Documentation
    url: https://docs.lamini.ai/tuning/quick_start/
  - type: Documentation
    url: https://docs.lamini.ai/classify/quick_start/
  - type: Documentation
    url: https://docs.lamini.ai/api/
- aid: lamini:lamini-train-api
  name: Lamini Train API
  description: Create and manage model training jobs.
  humanURL: https://docs.lamini.ai/api/
  baseURL: https://api.lamini.ai
  tags:
  - Trains
  tags_raw:
  - train
  properties:
  - type: OpenAPI
    url: openapi/lamini-train-api-openapi.yml
  - type: Documentation
    url: https://docs.lamini.ai/inference/quick_start/
  - type: APIReference
    url: https://docs.lamini.ai/api/
  - type: PostmanCollection
    url: collections/lamini.postman_collection.json
  - type: Documentation
    url: https://docs.lamini.ai/tuning/quick_start/
  - type: Documentation
    url: https://docs.lamini.ai/classify/quick_start/
  - type: Documentation
    url: https://docs.lamini.ai/api/
common:
- type: CapabilityMap
  url: capabilities/lamini-capability-edges.yml
  name: Lamini Business Capability Map
- type: AgenticAccess
  url: agentic-access/lamini-agentic-access.yml
- type: DomainSecurity
  url: security/lamini-domain-security.yml
- type: Authentication
  url: authentication/lamini-authentication.yml
- type: GitHubOrganization
  url: https://github.com/lamini-ai
- type: LinkedIn
  url: https://www.linkedin.com/company/lamini-ai
- type: Website
  url: https://www.lamini.ai
- type: Documentation
  url: https://docs.lamini.ai
- type: Plans
  url: plans/lamini-plans-pricing.yml
- type: RateLimits
  url: rate-limits/lamini-rate-limits.yml
- type: FinOps
  url: finops/lamini-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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