Traceloop website screenshot

Traceloop

Traceloop is an LLM reliability and observability platform built on OpenTelemetry that provides full visibility into every prompt, response, and failure across AI pipelines. The platform enables teams to monitor LLM quality in production, detect model drift and hallucinations, run automated evaluations via LLM-as-a-judge, and enforce quality gates in CI/CD workflows. Traceloop exposes a REST API for managing auto-monitor setups, running 40+ built-in evaluators (safety, faithfulness, PII, toxicity, structural validation), querying metrics and span warehouse data, and administering organizations and environments. The open-source OpenLLMetry SDK integrates in one line of code across Python, TypeScript, Go, and Ruby with support for 20+ LLM providers and major orchestration frameworks.

Traceloop publishes 4 APIs on the APIs.io network, including auto-monitor-setups API, evaluators API, metrics API, and 1 more. Tagged areas include LLM Observability, OpenTelemetry, AI Monitoring, Tracing, and Evaluation.

The Traceloop catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Traceloop’s developer surface includes authentication, documentation, engineering blog, pricing, and 10 more developer resources.

50.9/100 developing ▬ flat Agent 38/100 agent ready Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
AccessFreemiumSelf serve⚡ Free to try
4 APIs
LLM ObservabilityOpenTelemetryAI MonitoringTracingEvaluationLLM GatewayPrompt ManagementMachine Learning

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1
Composite quality — 50.9/100 · developing
Contract Quality 17.4 / 25
Developer Ergonomics 4.3 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 6.8 / 13
Governance 7.0 / 12
Discoverability 7.4 / 10
Agent readiness — 38/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/traceloop: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 4

Individual APIs this provider publishes, each with its own machine-readable definition.

Traceloop auto-monitor-setups API

The auto-monitor-setups API from Traceloop — 2 operation(s) for auto-monitor-setups.

Traceloop evaluators API

The evaluators API from Traceloop — 36 operation(s) for evaluators.

Traceloop metrics API

The metrics API from Traceloop — 2 operation(s) for metrics.

Traceloop organizations API

The organizations API from Traceloop — 1 operation(s) for organizations.

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Traceloop Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Traceloop Context

36 classes · 37 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Traceloop API Rules

5 rules · 4 warnings 1 info

SPECTRAL

JSON Schema 1

Standalone JSON Schema definitions for this provider's data models.

Traceloop API Schemas

0 properties

JSON SCHEMA

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Traceloop Authentication

apiKey · 1 scheme

SECURITY

Traceloop Domain Security

TLSv1.3 · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Traceloop Agentic Access

44 operations · 41 acting

44 operations · 41 acting

AGENTIC

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 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: traceloop
name: Traceloop
description: Traceloop is an LLM reliability and observability platform built on OpenTelemetry that provides full visibility
  into every prompt, response, and failure across AI pipelines. The platform enables teams to monitor LLM quality in production,
  detect model drift and hallucinations, run automated evaluations via LLM-as-a-judge, and enforce quality gates in CI/CD
  workflows. Traceloop exposes a REST API for managing auto-monitor setups, running 40+ built-in evaluators (safety, faithfulness,
  PII, toxicity, structural validation), querying metrics and span warehouse data, and administering organizations and environments.
  The open-source OpenLLMetry SDK integrates in one line of code across Python, TypeScript, Go, and Ruby with support for
  20+ LLM providers and major orchestration frameworks.
type: Index
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/traceloop.png
url: https://raw.githubusercontent.com/api-evangelist/traceloop/refs/heads/main/apis.yml
created: 2026-06-13
modified: 2026-06-13
specificationVersion: '0.19'
tags:
- LLM Observability
- OpenTelemetry
- AI Monitoring
- Tracing
- Evaluation
- LLM Gateway
- Prompt Management
- Machine Learning
apis:
- aid: traceloop:traceloop-auto-monitor-setups-api
  name: Traceloop auto-monitor-setups API
  description: The auto-monitor-setups API from Traceloop — 2 operation(s) for auto-monitor-setups.
  humanURL: https://www.traceloop.com/docs/api-reference/introduction
  baseURL: https://api.traceloop.com
  tags:
  - auto-monitor-setups
  properties:
  - type: OpenAPI
    url: openapi/traceloop-auto-monitor-setups-api-openapi.yml
  - type: Documentation
    url: https://www.traceloop.com/docs/api-reference/introduction
  - type: JSONSchema
    url: json-schema/traceloop-schema.json
  - type: Examples
    url: examples/traceloop-examples.yml
  - type: Vocabulary
    url: vocabulary/traceloop-vocabulary.yml
  - type: JSONLDContext
    url: json-ld/traceloop-context.jsonld
- aid: traceloop:traceloop-evaluators-api
  name: Traceloop evaluators API
  description: The evaluators API from Traceloop — 36 operation(s) for evaluators.
  humanURL: https://www.traceloop.com/docs/api-reference/introduction
  baseURL: https://api.traceloop.com
  tags:
  - evaluators
  properties:
  - type: OpenAPI
    url: openapi/traceloop-evaluators-api-openapi.yml
  - type: Documentation
    url: https://www.traceloop.com/docs/api-reference/introduction
  - type: JSONSchema
    url: json-schema/traceloop-schema.json
  - type: Examples
    url: examples/traceloop-examples.yml
  - type: Vocabulary
    url: vocabulary/traceloop-vocabulary.yml
  - type: JSONLDContext
    url: json-ld/traceloop-context.jsonld
- aid: traceloop:traceloop-metrics-api
  name: Traceloop metrics API
  description: The metrics API from Traceloop — 2 operation(s) for metrics.
  humanURL: https://www.traceloop.com/docs/api-reference/introduction
  baseURL: https://api.traceloop.com
  tags:
  - metrics
  properties:
  - type: OpenAPI
    url: openapi/traceloop-metrics-api-openapi.yml
  - type: Documentation
    url: https://www.traceloop.com/docs/api-reference/introduction
  - type: JSONSchema
    url: json-schema/traceloop-schema.json
  - type: Examples
    url: examples/traceloop-examples.yml
  - type: Vocabulary
    url: vocabulary/traceloop-vocabulary.yml
  - type: JSONLDContext
    url: json-ld/traceloop-context.jsonld
- aid: traceloop:traceloop-organizations-api
  name: Traceloop organizations API
  description: The organizations API from Traceloop — 1 operation(s) for organizations.
  humanURL: https://www.traceloop.com/docs/api-reference/introduction
  baseURL: https://api.traceloop.com
  tags:
  - organizations
  properties:
  - type: OpenAPI
    url: openapi/traceloop-organizations-api-openapi.yml
  - type: Documentation
    url: https://www.traceloop.com/docs/api-reference/introduction
  - type: JSONSchema
    url: json-schema/traceloop-schema.json
  - type: Examples
    url: examples/traceloop-examples.yml
  - type: Vocabulary
    url: vocabulary/traceloop-vocabulary.yml
  - type: JSONLDContext
    url: json-ld/traceloop-context.jsonld
common:
- type: AgenticAccess
  url: agentic-access/traceloop-agentic-access.yml
- type: DomainSecurity
  url: security/traceloop-domain-security.yml
- type: Authentication
  url: authentication/traceloop-authentication.yml
- type: Website
  url: https://www.traceloop.com/
- type: Documentation
  url: https://docs.traceloop.com/
- type: GitHubOrg
  url: https://github.com/traceloop
- type: LinkedIn
  url: https://www.linkedin.com/company/traceloop
- type: Blog
  url: https://www.traceloop.com/blog
- type: Pricing
  url: https://www.traceloop.com/pricing
- type: StatusPage
  url: https://status.traceloop.com/
- type: X
  url: https://twitter.com/traceloopdev
- type: Plans
  url: plans/traceloop-plans-pricing.yml
- type: RateLimits
  url: rate-limits/traceloop-rate-limits.yml
- type: FinOps
  url: finops/traceloop-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com