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 5 APIs on the APIs.io network, including Classify API, Embeddings API, Fine-Tuning API, and 2 more. Tagged areas include Artificial Intelligence, LLM, Fine-Tuning, Memory Tuning, and Inference.
Lamini’s developer surface includes authentication, documentation, and 8 more developer resources.
Kin Score
APIs 5
Individual APIs this provider publishes, each with its own machine-readable definition.
Lamini Classify API
LLM classifier classification and prediction endpoints.
Lamini Embeddings API
Text embedding generation.
Lamini Fine-Tuning API
Tuning and Memory Tuning job submission and management.
Lamini Inference API
Text completion and streaming generation endpoints.
Lamini Platform API
Version and platform metadata endpoints.
Open Collections 7
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONLamini Platform Classify API
OPEN COLLECTIONLamini Platform Classify Embeddings API
OPEN COLLECTIONLamini Platform Classify Fine-Tuning API
OPEN COLLECTIONLamini Platform Classify Inference API
OPEN COLLECTIONLamini Classify Platform API
OPEN COLLECTIONLamini Platform API
OPEN COLLECTIONScroll for all 7
Pricing Plans 1
Published pricing tiers and plan structures.
Lamini Plans Pricing
PLANSRate Limits 1
Documented rate limits and quota policies.
Lamini Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Lamini Finops
FINOPSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for providers
9 MCP tools reach this
find_providersBrowse and filter every provider in the catalog.get_provider_artifactsEvery artifact this provider publishes, grouped by type.get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.get_provider_toolsEvery MCP tool they ship, with the operation each wraps.get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.get_provider_ratingPRO — composite, band, trend and facet scores.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
curl "https://apis.io/api/v1/providers/lamini"
curl "https://apis.io/api/v1/providers?limit=25"
curl "https://apis.io/api/v1/providers/lamini/operations?limit=25"
curl "https://apis.io/api/v1/providers/lamini/evidence"
Discovery needs no key. Ratings and market analysis are Pro.