Does Traceloop support MCP and tool calling?

Full under the Agentic Index verification standard. Traceloop publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: Apache 2.0 open source core with SDKs in Python, TypeScript, Go and Ruby, standard OpenTelemetry output consumable by any compatible backend, and instrumentations that can be added individually to an existing OTel setup. Extensibility is th. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Traceloop have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Traceloop publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: SOC 2 and HIPAA certification combined with air gapped deployment capability, positioned explicitly at healthcare and financial services buyers for whom cloud only monitoring is non viable. Regulated industries are a stated strategic focus. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Traceloop be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Traceloop publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: AIR GAPPED deployment is supported alongside self hosting and managed cloud, and because the SDK emits standard OpenTelemetry spans a customer can route data to a backend they already run instead of to Traceloop at all. Three genuinely inde. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Traceloop

Q: Who is Traceloop for?

teams with an existing OpenTelemetry stack, regulated healthcare and financial services, AI engineering teams avoiding vendor lock in

Q: What are the best alternatives to Traceloop?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Traceloop among agent infrastructure platforms are LangSmith, Arize AI, Metorial, Arcade. Each is graded on the same public evidence, and no vendor pays for placement.

Also known as: OpenLLMetry, Traceloop Hub

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Agent infrastructureindependentVerified 2026-08-05

Entry priceOpenLLMetry SDK free under Apache 2.0; managed platform free tier reported at 50,000 spans, paid tiers aboveFull pricing detail

Maintainer of OpenLLMetry, the Apache 2.0 OpenTelemetry standard for LLM observability, plus a managed platform adding dashboards, evals and reproducible test cases from production failures, deployable air gapped.

Traceloop builds and maintains OpenLLMetry, an Apache 2.0 licensed set of OpenTelemetry extensions that has become the de facto open standard for instrumenting language model applications, with more than 7,200 GitHub stars. Rather than defining a proprietary trace format, it contributes the semantic conventions for LLM observability to OpenTelemetry itself, so token usage, latency and cost per request or per feature arrive as ordinary OTel spans.

The consequence is the product's whole argument: no lock in. Instrumented traces flow to Datadog, New Relic, Honeycomb, Grafana, Sentry, a self run collector, or Traceloop's own managed platform, and switching backends does not mean reinstrumenting. SDKs cover Python, TypeScript, Go and Ruby, and instrumentations ship for more than twenty model providers including OpenAI, Anthropic, Gemini, Bedrock and Ollama, for vector databases including Pinecone and Chroma, and for frameworks including LangChain, LlamaIndex and CrewAI. A native OpenTelemetry based gateway called Hub offers an alternative connection path.

The managed platform adds what the open library deliberately does not: dashboards, alerting, evaluation and full trace visibility into RAG pipelines. Its most distinctive capability is turning production failures into reproducible test cases, which closes the loop between observing a problem and being able to test the fix rather than leaving a trace to be read by hand.

Where it separates from most of this category is deployment. Traceloop holds SOC 2 and HIPAA certification and supports air gapped deployment, aimed explicitly at healthcare and financial services buyers for whom cloud only observability is not viable. Most competitors in LLM observability are SaaS first, so for a regulated buyer the practical shortlist is much shorter than the category's length suggests.

Vendor details

Canonical URL

https://www.traceloop.com

Company status

independent

Use cases & customers

Target customers

teams with an existing OpenTelemetry stackregulated healthcare and financial servicesAI engineering teams avoiding vendor lock in

Deployment options

managed cloudself-hostedair-gappedexport to any OTel backend

In practice

You already run Datadog, Grafana or Honeycomb and do not want a second observability tool. OpenLLMetry pipes LLM traces into the stack you have rather than asking you to adopt another dashboard.

Your compliance regime rules out SaaS observability entirely. Traceloop supports air gapped deployment with SOC 2 and HIPAA certification, which most competitors in this category cannot offer.

A failure in production is hard to reproduce in testing. Traceloop turns observed failures into reproducible test cases so the fix can be verified rather than assumed.

Sources & related URLs

Research sources

https://www.traceloop.com/ https://github.com/traceloop/openllmetry https://www.traceloop.com/blog/the-specialized-llm-observability-platform-built-on-opentelemetry-traceloop https://checkthat.ai/brands/traceloop

Agentic Index coverage score

9.0 / 14 capabilities · 64%

Integrations & Tool CallingInstrumentations ship for more than twenty model providers including OpenAI, Anthropic, Gemini, Bedrock and Ollama, vector databases including Pinecone and Chroma, and frameworks including LangChain, LlamaIndex and CrewAI, with export to Datadog, New Relic, Honeycomb, Grafana, Sentry or any OpenTelemetry collector. 2026-08-05	Full
Workflow OrchestrationNo workflow or agent orchestration. Traceloop observes applications and routes telemetry; it does not execute, schedule or deploy agent work. Deliberately graded N rather than P, unlike langsmith which does deploy LangGraph agents as managed APIs. 2026-08-05	Unable to verify
Knowledge Grounding & RAGNo retrieval or grounding capability. Traceloop provides full trace visibility INTO RAG pipelines built by others, which is observability of grounding rather than grounding itself. 2026-08-05	Unable to verify
Human Oversight & GuardrailsAlerting on cost, latency, error rates and quality degradation puts a human in the loop when behaviour drifts, and decorators let engineers annotate workflows for inspection, but there are no runtime guardrails or approval gates over agent actions. 2026-08-05	Partial
Security, Identity & GovernanceSOC 2 and HIPAA certification combined with air gapped deployment capability, positioned explicitly at healthcare and financial services buyers for whom cloud only monitoring is non viable. Regulated industries are a stated strategic focus rather than an afterthought. 2026-08-05	Full
Observability & AuditabilityThe core product and the standard others emit against: OpenLLMetry supplies the OpenTelemetry semantic conventions for LLM observability, capturing token usage, latency and cost per request or per feature, with full trace visibility into RAG pipelines, decorator based workflow annotation, dashboards and alerting. 2026-08-05	Full
Memory & State PersistenceTraces persist for historical analysis and failures are converted into durable reproducible test cases that outlive the incident, but this is platform state rather than agent memory. 2026-08-05	Partial
Deployment & Data ResidencyAIR GAPPED deployment is supported alongside self hosting and managed cloud, and because the SDK emits standard OpenTelemetry spans a customer can route data to a backend they already run instead of to Traceloop at all. Three genuinely independent escape routes, which is rare in LLM observability where most competitors are SaaS only. 2026-08-05	Full
Prebuilt Agents, Templates & PacksShips a large library of prebuilt automatic instrumentations covering LLM providers, vector databases and frameworks, plus prebuilt views for key performance indicators, so observability arrives configured rather than assembled. 2026-08-05	Full
Triggers & Channel CoverageInstrumented applications emit spans continuously and the managed platform raises alerts on them, but the platform is fed by applications rather than triggering work itself, and no scheduling or event driven invocation surface exists. 2026-08-05	Partial
Model Flexibility & RoutingHub is a native OpenTelemetry based gateway through which LLM calls can be connected across more than twenty providers including OpenAI, Anthropic, Gemini, Bedrock and Ollama, which is genuine provider breadth, but no routing policy, fallback chain or cost based model selection is documented. 2026-08-05	Partial
APIs, SDKs & MCP ExtensibilityApache 2.0 open source core with SDKs in Python, TypeScript, Go and Ruby, standard OpenTelemetry output consumable by any compatible backend, and instrumentations that can be added individually to an existing OTel setup. Extensibility is the product's design principle rather than a feature. 2026-08-05	Full
Testing, Debugging & OptimizationThe managed platform provides evaluation alongside monitoring, and its distinctive capability is TRANSFORMING PRODUCTION FAILURES INTO REPRODUCIBLE TEST CASES, closing the loop between observing a problem and being able to verify the fix rather than reading a trace by hand. 2026-08-05	Full
Browser & Computer UseNo browser control or computer use capability. The platform instruments and observes application code rather than operating interfaces. 2026-08-05	Unable to verify

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

OpenLLMetry SDK free under Apache 2.0; managed platform free tier reported at 50,000 spans, paid tiers above

spans ingested on the managed platform; free if self routed

Free tierTrial available

What is public

The open source licence and scope are fully public on GitHub; managed platform tiers exist on a pricing page that was not retrieved in this pass.

Billing mechanics

Two independent paths. The OpenLLMetry instrumentation library is Apache 2.0 and free with no vendor relationship required, emitting standard OpenTelemetry spans to whatever backend the customer already runs. Traceloop's managed platform is the commercial product, adding dashboards, alerting and evaluation, with a reported 50,000 span free tier and usage based paid tiers above it. Air gapped and regulated deployments are enterprise terms.

Cost watchouts

If spans are routed to Datadog, New Relic or Honeycomb instead, the ingestion cost moves to that vendor rather than disappearing, and LLM traces are verbose

Variable cost rationale

The escape hatch caps exposure structurally: a team can run the Apache 2.0 library and send spans to infrastructure it already pays for, so managed platform spend is optional rather than load bearing, which is the opposite of trace metered competitors where volume drives the invoice.

Additional watchouts

The free library is genuinely free, but observability cost does not vanish when you route elsewhere: LLM traces are verbose and ingestion charges land on Datadog, New Relic or Honeycomb instead. Model the destination backend's ingestion pricing alongside Traceloop's, not instead of it.

Overage / add-ons

Managed platform consumption metered on spans ingested above the free allowance

Sales call required

Mixed (some tiers require a call)

Free / trial

The open source library is completely free with no usage limits, and the managed platform adds a reported 50,000 span monthly free tier on top

Commercial notes

The commercial position is unusual and worth understanding: Traceloop gives away the instrumentation standard and sells the backend, while its data format stays portable by design. That means the switching cost it could charge for is deliberately not built, and the managed platform has to win on product rather than on lock in. For a buyer that is the most favourable structure in the observability lane, and it is the direct inverse of LangSmith, where self hosting requires an enterprise licence key on Kubernetes.

Key ambiguities

Paid tier rates for the managed platform were not retrieved and the 50,000 span free tier figure comes from a third party comparison rather than a first party rate card. Air gapped and enterprise pricing is undisclosed.

Missing data

First party managed platform rates, span allowances per tier, and pricing for air gapped or self hosted enterprise deployment.

Agentic Index verified 2026-08-05

Official pricing page

Related vendors

Alternatives to Traceloop

The closest documented capability profiles to Traceloop among agent infrastructure platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

LangSmith9.0 / 14Adds documented Workflow Orchestration
Arize AI7.5 / 14A lighter documented profile than Traceloop
Metorial8.5 / 14Adds documented Workflow Orchestration
Arcade8.0 / 14Adds documented Workflow Orchestration
Confident AI7.0 / 14A lighter documented profile than Traceloop
Monte Carlo8.0 / 14Fuller documented coverage on Triggers & Channel Coverage

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Traceloop with other vendors →Compare all agent infrastructure platforms →See where Traceloop ranks →

Data confidence: high