Skip to content
Back to the index

LLMVerify

github.comInfrastructure

No liveness check has reached it yet; it has been in the index since 10 Oct 2026. How this is checked

LLMVerify is an npm-based developer tool for runtime health checks in LLM applications. It evaluates model drift, hallucination risk, latency, and JSON or format quality across OpenAI, Anthropic, and local clients.

Inferred · not functionally tested

CLIAPI
LLMVerify preview
Visit github.com

Overview

6 features

Purpose: Detecting model drift, hallucination risk, latency problems, and malformed outputs in LLM applications.

Inferred · not functionally tested

Audience: developers building and operating LLM applications

Inferred · not functionally tested

Functions: monitoring, data_extraction

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: unknown · license: Proprietary · platforms: API, CLI · deployment: cli, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: github.com. These links do not verify the individual claims.

LLMVerify is an Agent monitoring & governance project. Inferred · not functionally tested: It focuses on detecting model drift, hallucination risk, latency problems, and malformed outputs in LLM applications. Inferred · not functionally tested: LLMVerify is an open-source project aimed at developers building and operating LLM applications. Basis unknown · not verified: It ships for the command line and API.

Subodh KC builds and maintains LLMVerify. Inferred · not functionally tested: Among its 6 catalogued features are drift checks, hallucination checks, and latency monitoring. Inferred · not functionally tested: Catalogued interfaces include a public API.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Drift checks
  • Hallucination checks
  • Latency monitoring
  • JSON validation
  • Format validation
  • OpenAI support

Topics: Inferred · not functionally tested

Tags
llm-monitoringmodel-drifthallucination-detectionoutput-validationruntime-evaluation
AI capabilities
TextStructured
Inference: Cloud API

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
multipleanthropic
Connectors
API
Runs on
CLIAPI-only

Trust & compliance

Public signals
HTTPS

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed10 Oct · 12:03 UTC
    LLMVerify seen via MCP Registry (official)
    Source: MCP Registry (official) · Open

Frequently asked questions about LLMVerify

What is LLMVerify?
Inferred · not functionally tested: LLMVerify focuses on detecting model drift, hallucination risk, latency problems, and malformed outputs in LLM applications. It is catalogued under Agent monitoring & governance on PulseGate.
Who should use LLMVerify?
Inferred · not functionally tested: LLMVerify is an open-source project built for developers building and operating LLM applications.
What platforms does LLMVerify run on?
Basis unknown · not verified: LLMVerify runs on the command line and API.
Is LLMVerify still maintained?
Unverified. LLMVerify has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What are alternatives to LLMVerify?
Similar projects tracked by PulseGate include LLM-as-a-Verifier, WatchLLM, and vernLLM.LLM-as-a-VerifierWatchLLMvernLLM
Who develops LLMVerify?
LLMVerify is developed by Subodh KC.
Does LLMVerify have an API or integrations?
Inferred · not functionally tested: Yes — LLMVerify exposes a public API.

Similar projects

Closest matches by what these projects do