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
Standards implemented 1
Interfaces this provider implements that became standards by being copied rather than ratified. Each is profiled by the API Commons, and the evidence column says how the claim was established — not that it was made.
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.