PromptLayer
PromptLayer is a prompt engineering, prompt management, and LLM observability platform. Its REST API logs and tracks LLM requests, manages a versioned prompt registry with release labels, ingests OpenTelemetry-style spans and traces, and runs evaluations and datasets so teams can monitor, debug, and improve their LLM applications.
PromptLayer publishes 4 APIs on the APIs.io network, including Evaluations & Datasets API, Logging & Tracking API, Prompt Registry API, and 1 more. Tagged areas include Artificial Intelligence, LLM, Prompt Engineering, Prompt Management, and Observability.
PromptLayer’s developer surface includes authentication, documentation, and 8 more developer resources.
Kin Score
APIs 4
Individual APIs this provider publishes, each with its own machine-readable definition.
PromptLayer Evaluations & Datasets API
Create, run, and score evaluation reports against datasets.
PromptLayer Logging & Tracking API
Log and track LLM requests, scores, and metadata.
PromptLayer Prompt Registry API
Retrieve and publish versioned prompt templates.
PromptLayer Spans & Traces API
Ingest spans and manage traces for LLM observability.
Open Collections 6
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONPromptLayer Evaluations & Datasets API
OPEN COLLECTIONPromptLayer Evaluations & Datasets Logging & Tracking API
OPEN COLLECTIONPromptLayer Evaluations & Datasets Prompt Registry API
OPEN COLLECTIONPromptLayer Evaluations & Datasets Spans & Traces API
OPEN COLLECTIONPromptLayer API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Promptlayer Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Promptlayer 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)
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Call it yourself
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curl "https://apis.io/api/v1/providers/promptlayer"
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curl "https://apis.io/api/v1/providers/promptlayer/operations?limit=25"
curl "https://apis.io/api/v1/providers/promptlayer/evidence"
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