Klu
Klu (klu.ai) is an LLM app platform for designing, deploying, evaluating, and observing prompt-driven AI applications. The Klu Engine exposes a REST API at https://api.klu.ai/v1 (Bearer API key) where an Action encapsulates a prompt template, model config, context (RAG), and output parsing, and is invoked to generate completions, with data, feedback, sessions, and models managed alongside it. NOTE - product development appears dormant - the official klu SDK last shipped in March 2025 and the founding team's recent open-source work has shifted toward xAI / Grok tooling - see review.yml for the honest status assessment.
Klu publishes 8 APIs on the APIs.io network, including Actions API, Apps API, Context API, and 5 more. Tagged areas include AI, LLM, LLM App Platform, Prompt Engineering, and Evaluation.
Klu’s developer surface includes authentication, documentation, and 8 more developer resources.
Kin Score
APIs 8
Individual APIs this provider publishes, each with its own machine-readable definition.
Klu Actions API
Run Actions to generate completions.
Klu Apps API
Apps (projects) grouping Actions, context, and experiments.
Klu Context API
Manage Context libraries and documents for retrieval-augmented generation.
Klu Data API
Data points produced by Action generations.
Klu Feedback API
Ratings, corrections, and issues attached to data points.
Klu Models API
LLM providers and models available in the workspace.
Klu Sessions API
Session memory for multi-turn conversations.
Klu Workspaces API
Workspace administration.
Scroll for all 8
Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Klu API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Klu Ai Plans Pricing
PLANSRate Limits 1
Documented rate limits and quota policies.
Klu Ai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Klu Ai 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