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Helicone

LLM usage analytics with per-request cost, latency, and tracing.

shipped Nov 20, 2025analyzepaid
Domain rating73Monthly visits2.7K/mo
AnalyzeMonitoring & EvaluationCost & Latency Observability
Helicone - AI tool hero image

Why it matters

1Analyze
2Monitoring & Evaluation
3Cost & Latency Observability

Stork Quadrant

Becomes the API· 29/100

Replaceable as a UI, but kept alive as the API the agents call.

Helicone is a thin wrapper around LLM API observability — all of it is replaceable by an agent querying your own logs, calling the LLM provider's native APIs, or a lightweight open-source alternative. The only stickiness is switching cost and dashboard familiarity, which evaporates the moment someone builds a better free alternative or the LLM providers ship native dashboards. This dies unless it becomes infrastructure.

Claude Haiku 4.5, scored 2026-05-27

Defensibility · 0/100

  • Physical-world coupling
  • Regulatory moat
  • Network liquidity
  • Proprietary refreshing data
  • High-trust catastrophic workflows
  • Multi-party coordination
  • Brand / community / taste

An LLM alone could replace

  • Track token counts and estimate costs from LLM API responses
  • Log request/response latency by adding timestamps to API calls
  • Aggregate usage metrics across multiple API calls into dashboards
  • Identify slow or expensive requests through basic filtering and sorting

Agent-Readiness · 65/100

  • Verified MCP
  • Listed on agent surfacesanthropic_directory
  • Usage-based pricingpricing page heuristic match: https://www.helicone.ai/pricing
  • Headless agent authhttps://docs.helicone.ai/ (api-key auth)
  • Public OpenAPIhttps://docs.helicone.ai/
  • Active changelog
  • llms.txthttps://www.helicone.ai/llms.txt

Score history · +13 pts over 2 re-scores

How to defend

Stop being a dashboard. Become the observability layer that agents and applications call directly — own the request interception point, not the UI. Alternatively, add proprietary data: partner with LLM providers to surface cost-optimization insights or performance benchmarks nobody else has access to.

  • Ship an MCP server and list it on Stork — biggest single point gain (+25).
  • Publish a public changelog and ship in the last 90 days — silence reads as abandonment (+10).

Specs

API Available

Yes, public API

overview

Overview

LLM usage analytics with per-request cost, latency, and tracing.

Policies

Pricing Page

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