Agentic Index

AI agent platforms that give you tracing and observability in production (2026)

Of the 548 agentic AI platforms in the Agentic Index, 317 document tracing and observability in full. Only 81 also document testing and evaluation and human oversight in full. That is 14.8% of the field. This is a bar, not a leaderboard: a platform either documents all three in its own public materials or it does not clear, and Partial evidence on any one of the three does not count.

The finding underneath the list is more useful than the list. You can watch an agent you were never able to test. Observability and auditability is documented in full by 58% of the pool and human oversight by 53%, but testing, debugging and optimization by only 28%. Of the 185 platforms sitting exactly one capability short of the bar, 129 are short on testing alone. Observability arrived in this market and evaluation did not follow it.

There is a second number worth carrying into a vendor call. 189 of the 317 platforms that document observability in full do not document testing and evaluation. A trace tells you what the agent did on a run that already happened. An eval tells you whether the prompt, model or tool change you are about to ship makes it better or worse. Those are different products and they get sold under the same word.

The bar, and how the 548 platforms score against it

Capability	What has to be documented	Full	Only blocker
Testing and evaluation	evals against a golden dataset, replay or simulation, and a documented way to tell whether a change made the agent better	151 (28%)	129
Observability and auditability	tracing across agent runs, tool call level visibility, and an audit log a compliance team can read	317 (58%)	9
Human oversight and guardrails	human approval before an agent action executes, plus guardrails that can stop or bound a run	288 (53%)	47

Full means the vendor publishes evidence meeting the capability in its own public materials, under the Agentic Index verification standard. Only blocker counts platforms that document the other two in full and fail on this one alone.

Clears the bar and scores 12.5 or higher of 14 overall

These 29 platforms document testing and evaluation, observability and auditability, and human oversight in full, and also sit at the top of the Agentic Index coverage score across all 14 capabilities. Ordered by total coverage, ties broken alphabetically.

1. 1.Appian

   14.0 / 14 capabilities

   enterprise operations agents, agent builders

   Process automation that anchors agents inside governed process models. Documents agents that test other agents, and every agent execution is monitored, audited and evaluated rather than only logged.

2. 2.FLOWX.AI

   14.0 / 14 capabilities

   enterprise operations agents, multi-agent platforms, agent builders, agent infrastructure platforms

   Enterprise agentic platform with an agent builder, a catalog of 246 agent blueprints and documented orchestration patterns. Its observability layer traces each run and the Observatory maps the customer's AI estate to compliance controls, and both cells now rest on documentation rather than a launch announcement.

3. 3.Gumloop

   14.0 / 14 capabilities

   agent builders

   Gumstack traces every tool call through one logging layer, ties each call to a named user, agent or service principal, and records where data flows. It keeps a live inventory of MCP servers in use and reaches agents running outside Gumloop, so one audit surface can cover more than its own builder.

4. 4.Mastra

   14.0 / 14 capabilities

   agent infrastructure platforms

   Open source TypeScript framework that documents all three halves of reliability in its own docs: scorers, datasets and experiments score an agent on named checks such as correct tool selection, with gates and runs in CI; traces record each run step by step, with OpenTelemetry and Datadog exporters and retention stated by plan; and a tool marked for approval pauses before it executes, set per tool, per request or per call.

5. 5.Microsoft

   14.0 / 14 capabilities

   enterprise operations agents

   Copilot Studio documents evaluations as named test sets, conversations with expected responses run to scored results before publishing, and the Power Platform REST API triggers them for release validation. After publishing, the Monitor tab reports sessions, reactions, response quality and errors, and human supervision escalates a mid run decision to a named reviewer by Outlook email or an inline review card.

6. 6.ServiceNow

   14.0 / 14 capabilities

   enterprise operations agents, multi-agent platforms

   Enterprise workflow platform whose Now Assist agents automate IT, employee and customer processes. The AI Control Tower gives real time visibility, agents can be set supervised or autonomous per tool, and teams can test against real data before going live.

7. 7.UiPath

   14.0 / 14 capabilities

   enterprise operations agents, multi-agent platforms, agent builders

   Agentic automation orchestrating agents, robots and people end to end. Agentic testing and Test Cloud provide self healing test automation and autonomous testing that simulates users, which is the axis that stops 129 other platforms.

8. 8.Pega

   13.5 / 14 capabilities

   enterprise operations agents, agent builders

   Pega generates scenario tests for a customer's workflows, agent steps included, which run in Pega or export to third party testing tools, and GenAI rules are unit tested in the AI Designer playground. Agent Tracer records every agent interaction, step, request and response, and the agentic assignment agent pulls a person in by email, chat or telephony when a request needs data or an approval.

9. 9.StackAI

   13.5 / 14 capabilities

   enterprise operations agents, agent builders

   The reliability surface is a documentation tree rather than a feature list: an Observability section carrying Analytics, Manager and an Evaluator page that scores an agent with a model as judge, an agentic development lifecycle page under security and governance, version control with pull requests and prompt diffs in the workflow editor, project controls that lock a workflow in production, and Human in the Loop as a core node.

10. 10.Agno

    13.0 / 14 capabilities

    agent infrastructure platforms

    Python agent framework and runtime that documents each layer: accuracy, agent as judge, reliability and performance evals run in development and CI; tracing records runs, model calls, tool calls and team delegation in the customer's own database with unlimited retention; and user confirmation holds a tool until someone approves it, with approvals managed from the AgentOS control plane.

11. 11.AutoGPT

    13.0 / 14 capabilities

    multi-agent platforms, agent builders, agent infrastructure platforms

    Every task, node and block carries a dollar cost, a real time stream shows execution as it runs, and any past task reopens in the builder with every step preserved. A read only SQL block lets the customer query its own execution data directly rather than relying on dashboards alone.

12. 12.CrewAI

    13.0 / 14 capabilities

    multi-agent platforms

    Open source multi agent orchestration for collaborative crews. Open source frameworks tend to document tracing and skip evaluation, so clearing all three here is the exception rather than the pattern.

13. 13.Databricks Agent Bricks

    13.0 / 14 capabilities

    multi-agent platforms

    Databricks' agent platform treats testing as MLflow work: scorers, LLM judges and code checks grade traces from the UI or across a dataset, the same scorers run on a sample of production traffic, and MLflow Tracing captures every tool call and model invocation without code changes. Service policies can hold a destructive MCP tool call for human approval before it runs, a control documented as beta.

14. 14.Dataiku

    13.0 / 14 capabilities

    multi-agent platforms, agent builders

    The Evaluate Agent recipe scores both the answer and the path taken, with tool call checks, LLM judges and custom metrics, and every LLM Mesh call returns a nested trace of LLM calls, guardrail steps, tokens and cost for the Trace Explorer. Human approval set on a tool makes an agent pause and ask before calling it, with the reviewer able to edit the inputs.

15. 15.n8n

    13.0 / 14 capabilities

    agent builders

    The open source entry, and the one where the evaluation loop is core rather than enterprise. Evaluation and Evaluation Trigger ship as core nodes with a four page section on testing and improving AI workflows, debugging runs on pinned and mock data with earlier execution data copied into the canvas, executions are first class objects traceable to OpenTelemetry with Prometheus metrics and change history, and a Guardrails node plus approval before tool execution carry the oversight axis.

16. 16.Relevance AI

    13.0 / 14 capabilities

    multi-agent platforms, agent builders

    Test sets of simulated users are scored by reusable checks, and publishing can require them to pass at a minimum rate, so a version that regresses does not ship. Execution traces cover agent invocations, LLM calls and workforce runs, and approvals are set per edge, so a sensitive tool waits for a person while routine ones run; several of these controls sit on the Enterprise tier.

17. 17.Replit Agent

    13.0 / 14 capabilities

    agent builders

    Agent tests the application it built in a real browser, writes a report and fixes what it finds, which is the vendor's mechanism applied to the customer's artifact rather than a suite the customer already had. Around it: mobile testing through Expo Go, TestFlight and Play Console tracks, checkpoints for rollback, enterprise audit logs with SIEM integration, and a task system that lets the customer review work before it reaches their main version.

18. 18.Sim

    13.0 / 14 capabilities

    multi-agent platforms, agent builders

    Open source Apache 2.0 agent workspace. An Evaluator block ships in the core block set alongside Guardrails and Human in the Loop, and logs record every run block by block as a first class workspace resource.

19. 19.Tray.ai

    13.0 / 14 capabilities

    agent infrastructure platforms

    Integration and automation platform whose agent layer documents all three: an evaluation template uses an LLM judge to score agent responses so versions can be compared over time, every workflow run logs each step's input and output with logs streamable to the customer's own endpoint, and an approval step routed to Slack, email or a form pauses a run until a person decides.

20. 20.Tungsten Automation

    13.0 / 14 capabilities

    enterprise operations agents, agent builders

    TotalAgility documents reliability at the workflow layer: standardized benchmarking optimizes AI answer quality over time, agents' use of AI tools is logged in full under its MCP governance with audit trails and continuous monitoring, and human in the loop controls with exception handling and SLA management route exceptions to a person inside the workflow.

21. 21.Adopt AI

    12.5 / 14 capabilities

    enterprise operations agents

    Every agent action is logged with what ran, when, on which file and who approved it, in an immutable trail that also keeps formula versions and human review records, with secrets redacted. In the close workflow, each flagged item links to the exact source document behind it.

22. 22.Akka

    12.5 / 14 capabilities

    multi-agent platforms, agent builders, agent infrastructure platforms

    EvalKit scores a service against a dataset of eval cases and saves baselines that CI gates regressions against, a non sampled, hash chained interaction log records each agent interaction, and a workflow can pause for an approval command and resume where it left off, durably across crashes and deployments.

23. 23.Boomi

    12.5 / 14 capabilities

    enterprise operations agents, multi-agent platforms, agent builders

    Agentstudio's built in guardrails include testing agent behavior before it deploys, the Agent Control Plane adds token level analytics, runtime monitoring and anomaly detection across agents, models and data, and a customer can require human in the loop approvals or policy checks where needed.

24. 24.Fabrix.ai

    12.5 / 14 capabilities

    enterprise operations agents, agent builders

    IT operations platform whose Agent Control Plane carries all three: Evaluators run side by side evaluations on the customer's own data with ground truth scoring and human ratings before deployment, every agent run leaves a step level trace from first prompt to final action with retries, branches and PII masking, and its AIOps agents state that the customer's team approves every action.

25. 25.IBM watsonx Orchestrate

    12.5 / 14 capabilities

    enterprise operations agents

    The Agent Development Kit ships an evaluation framework that simulates user interactions and compares each trajectory step by step against reference data, traces are reachable through the CLI, the Python library, the product interface and the API, and a user activity node holds an agentic workflow for a person, with fields that select approvers.

26. 26.OutSystems

    12.5 / 14 capabilities

    multi-agent platforms, agent builders

    The clearest testing story on the page and the reason to read this list past the newest names. Agent Evaluations validate agent logic against a golden dataset of inputs, expected outputs and expected tool calls, with an automatic judge returning quality scores and full execution traces; the vendor frames it as unit tests for the outcomes an agent owns. Traces make an agent a filterable asset, and a Human activity element pauses a workflow for a decision.

27. 27.Pipefy

    12.5 / 14 capabilities

    enterprise operations agents, agent builders

    Pipefy previews changes before they go live: automation simulation runs an AI action against a sample card and a sandbox clones a pipe for editing. Every agent run leaves an execution log with a tracing graph whose nodes open to what the agent did, queryable through the API, and the Request human validation action holds an agent's output for a named reviewer under the phase SLA.

28. 28.Salesforce

    12.5 / 14 capabilities

    enterprise operations agents

    CRM platform whose Agentforce layer runs autonomous agents across sales, service and marketing. Batch testing at scale runs before deployment and observability dashboards monitor reasoning, accuracy and compliance over time.

29. 29.Torq

    12.5 / 14 capabilities

    enterprise operations agents (secondary lane membership, primary category Security / SOC agent)

    Security hyperautomation platform whose HyperSOC agents run triage, investigation and response inside governed workflows. A workflow and its AI Agent steps stay in draft for test runs with mock outputs while the published version keeps running, executions keep every step's output, and audit logs export to Amazon S3; approval steps and a Case Reviewer govern what lands. Qualifies here on secondary lane membership as an enterprise operations platform, which a buyer scanning this list should know.

The remaining 52 platforms that clear the bar

Every one of these documents all three reliability capabilities in full. They score below 12.5 of 14 on total coverage, which says something about breadth across the whole taxonomy, not about how well you can see inside them. The dedicated evaluation and tracing tools sit low here for exactly that reason.

Common questions

Which AI agent platforms give you tracing and observability in production?

317 of 548 agentic AI platforms in the Agentic Index document observability and auditability in full. 81 of them also document testing and evaluation and human oversight in full, which is the bar used on this page. That is 14.8% of the field. The list is ordered by total documented coverage across the Agentic Index 14 point capability taxonomy and is graded from public evidence only.

What counts as real observability for an AI agent platform?

Three things, and a platform has to document all three in public materials to clear the bar used here. Testing and evaluation: evals against a golden dataset, replay or simulation, and a documented way to tell whether a change made the agent better. Observability and auditability: tracing across agent runs, tool call level visibility, and an audit log a compliance team can read. Human oversight and guardrails: human approval before an agent action executes, plus guardrails that can stop or bound a run. Partial evidence on any one of the three does not clear.

Is tracing the same as evaluation for AI agents?

No, and the gap between them is the largest one on this page. 317 of the 548 platforms document observability in full and 189 of those do not document testing and evaluation. A trace tells you what the agent did on a run that already happened. An eval tells you whether the prompt, model or tool change you are about to ship makes the agent better or worse. Most platforms in this market ship the first and not the second.

Why do so few AI agent platforms clear the reliability bar?

Testing, not tracing. Across the 548 platform pool, observability is documented in full by 58% and human oversight by 53%, but testing, debugging and optimization by only 28%. Of the 185 platforms sitting exactly one capability short of the bar, 129 are short on testing alone. Observability arrived in this market and evaluation did not follow it.

Is this ranking paid or sponsored?

No. No vendor pays for placement, no vendor has reviewed this page, and every grade comes from the vendor's own public materials under the Agentic Index verification standard. 956 vendors are graded against the same 14 capabilities. Data last verified October 3, 2026.

Method: membership is the same 548 platform pool used by the best agentic AI platforms in 2026, drawn from 956 researched vendors. The editorial pages over this pool are one method with different bars, not several opinions. Every grade comes from the vendor's own public materials under the Agentic Index verification standard. No vendor pays for placement and no vendor has reviewed this page. Data last verified October 3, 2026. How this evidence is graded

Related: platforms that support Model Context Protocol tools, enterprise security and compliance platforms, autonomous AI workforce platforms, production ops agents ranked for automated incident resolution, agentic security operations platforms ranked for alert triage, coding agents ranked on the merge loop, where only 2 of 65 document the whole loop through self verification, how every vendor scores on observability and auditability, healthcare agents, where 13 of 30 document oversight with no audit trail, agent infrastructure platforms ranked on the production contract, compare platforms side by side.