Helicone
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Scorecard detail
Helicone is open-source LLM observability built around a proxy that captures every model call without changing the application's request shape. The Helicone API exposes requests, properties, custom prompts, jobs, and feedback through REST plus the Jawn backend. SDKs in TypeScript, Python, and Go. The product is genuinely API-first: most users integrate by changing one baseURL and never touch the dashboard.
signals (5)
- +AI review appliedReviewer: Editorial review on 2026-05-20
- +OpenAPI specPublished, 267 operations
- −GraphQL endpointNot discovered (5 probes; project-scoped endpoints require a real project ID)
- ·SDKs maintained2 (rust, typescript); top by stars: Helicone/ai-sdk-provider (4 stars)
- −npm weekly downloadsNo published npm package detected for the JS/TS SDKs
cite (4)
- openapi.url@2026-05-20
- graphql.probes_tried@2026-05-20
- github.sdks@2026-05-20
- github.sdks@2026-05-20
Sessions, requests, custom properties, user-rate-limits, prompt templates, and feedback events are all programmable. The Helicone dashboard is observability over the captured traffic; configuration is mostly code-driven (proxy headers, environment variables). Self-host via the open-source repo plus Helicone Cloud share the same API contract.
signals (9)
- +AI review appliedReviewer: Editorial review on 2026-05-20
- +API operations exposed267 operations in OpenAPI spec
- ·Docs pages crawled0 pages (crawler: none)
- ·Auth schemes documentedAuth documentation page not reached by crawler
- ·Setup / quickstart docsNot reached by crawler
- ·Billing docsNot reached by crawler
- ·Teams / org docsNot reached by crawler
- ·CLI docsNot reached by crawler
- ·Schema / data model docsNot reached by crawler
cite (8)
- openapi.operations_count@2026-05-20
- docs.pages_crawled@2026-05-20
- docs.pages_crawled@2026-05-20
- docs.topics_found.setup@2026-05-20
- docs.topics_found.billing@2026-05-20
- docs.topics_found.teams@2026-05-20
- docs.topics_found.cli@2026-05-20
- docs.topics_found.schema@2026-05-20
Helicone has been publicly active on AI agent infra and ships the @helicone/proxy-sdk with first-class support for agent frameworks. No standalone MCP server yet, but the proxy itself is the canonical integration surface for any LLM-using agent, which makes the protocol layer less load-bearing here than for vendors of agent tools themselves.
signals (4)
- +AI review appliedReviewer: Editorial review on 2026-05-20
- −Official MCP serverNone found in vendor's GitHub org or the official MCP registry
- −Community MCP serversNone found
- +Agent-friendly SDKs1 TS/JS SDKs available; top: ai-sdk-provider
cite (3)
- mcp.registry_query@2026-05-20
- mcp.github_search_query@2026-05-20
- github.sdks@2026-05-20
REST documented at docs.helicone.ai. Direct OpenAPI URL is not prominently exposed; the proxy contract follows OpenAI-compatibility, which gives schema-by-convention. The open-source codebase under Helicone/helicone exposes the Jawn backend types directly.
signals (3)
- +AI review appliedReviewer: Editorial review on 2026-05-20
- +OpenAPIPublished at https://docs.helicone.ai/swagger.json (OpenAPI 3.0.0, 267 operations)
- −GraphQL introspectionNo GraphQL endpoint discovered (5 probes; some vendors use project-scoped endpoints that require a real project handle)
cite (2)
- openapi.url@2026-05-20
- graphql.probes_tried@2026-05-20
Helicone webhooks deliver per-request observability events for downstream automation: alert on slow responses, log-shipping to external systems, custom evaluators. HMAC signing with a per-org secret. Catalog is appropriate for LLM observability.
signals (2)
- +AI review appliedReviewer: Editorial review on 2026-05-20
- ·Webhook docs pageNot reached by crawler within budget (0 pages crawled). Cannot confirm whether vendor offers webhooks.
cite (1)
- docs.pages_crawled@2026-05-20
FCFoundational Compliance55/100
Structural validity, standards conformance, and parsability of the OpenAPI specification.
DXJDeveloper Experience & Tooling Compatibility17.5/100
Documentation clarity, example coverage, response completeness, and ingestion health.
ARAXAI-Readiness & Agent Experience26.1/100
Semantic clarity, intent expression, datatype specificity, and error standardization.
AUAgent Usability70/100
Operational composability, complexity comfort, navigation affordances, and safety patterns.
SECSecurity60/100
Authentication strength, transport security, secret hygiene, and OWASP risk posture.
AIDAI Discoverability65/100
Descriptive richness, intent phrasing, workflow context, and registry signals.
Band rationale:C band: scores 40-75 range
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How THI compares to external scorers
| Source | Score | Measures | Last checked |
|---|---|---|---|
| Fern Agent Score | not found | Documentation completeness and SDK shape (~22 checks) | — |
| CLIRank Agent Friendliness | not found | CLI readiness, docs quality, and overall agent affordances | — |
| Cloudflare Is It Agent Ready? | blocked | Cloudflare's manual agent-readiness heuristic per vendor URL | — |
| Jentic Scorecard | — | JAIRF-based scorecard requiring a public OpenAPI specification | — |
No external scores available to calibrate against.