Control & trust
Which AI agent platforms let you trace and audit what an agent did?
Of 946 vendors, 489 document full observability: traces, logs, execution histories, metrics, audit events and enough debugging detail to reconstruct what a production agent actually did. Another 395 document partial coverage and 62 document none.
Every vendor in the index is assessed against the same 14 point taxonomy from public documentation, and no vendor pays for placement. Counts on this page were measured across all 946 public vendors on September 30, 2026.
How the 946 vendors split
No public evidence means the reviewed sources did not document the capability. On this index that is a statement about the evidence, not proof that the capability is absent. See methodology.
What counts as full coverage
Full coverage means run level visibility a buyer can inspect after the fact, including the steps taken and the tools called, not just an analytics dashboard counting conversations. Partial commonly means aggregate reporting with no per run trace, which answers how many and never answers why. Logs supplied by the buyer's own systems when an agent acts inside them are not credited to the vendor, and a design time audit of a logic flow is not a runtime audit of what an agent did.
How to read these numbers
Security and SOC leads at 80 percent, which is unsurprising in a lane whose product is the audit trail, and agent infrastructure follows at 67 percent because tracing is what a large part of that lane sells. The revealing pair is GTM at 23 percent, the lowest of any lane, and coding at 37 percent. Those are the lanes with the fastest self serve adoption and the least procurement scrutiny, and it shows in the evidence. If an agent writes to your CRM or your repository, an execution history is the difference between a bug you can explain and an incident you cannot.
Leading platform for observability & auditability in each use case
Picked mechanically: the highest total coverage vendor in each lane that documents full evidence on this axis, one vendor per row. Scores are out of 14.
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1. Appian, for enterprise operations agents
14 / 14Full enterprise operations agents ranking · Compare the whole lane on all 14 axes
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2. FLOWX.AI, for multi-agent platforms
14 / 14Full multi-agent platforms ranking · Compare the whole lane on all 14 axes
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3. Gumloop, for GTM and revenue agents
14 / 14Full GTM and revenue agents ranking · Compare the whole lane on all 14 axes
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4. Mastra, for agent infrastructure platforms
14 / 14Full agent infrastructure platforms ranking · Compare the whole lane on all 14 axes
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5. ServiceNow, for customer support agents
14 / 14Full customer support agents ranking · Compare the whole lane on all 14 axes
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6. UiPath, for agent builders
14 / 14Full agent builders ranking · Compare the whole lane on all 14 axes
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7. GitHub Copilot, for coding agents
13.5 / 14Full coding agents ranking · Compare the whole lane on all 14 axes
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8. Dataiku, for data analyst agents
13 / 14Full data analyst agents ranking · Compare the whole lane on all 14 axes
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9. HappyRobot, for voice agents
13 / 14Full voice agents ranking · Compare the whole lane on all 14 axes
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10. Adopt AI, for browser and computer-use agents
12.5 / 14Full browser and computer-use agents ranking · Compare the whole lane on all 14 axes
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11. Torq, for security and SOC agents
12.5 / 14Full security and SOC agents ranking · Compare the whole lane on all 14 axes
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12. Edge Delta, for SRE and DevOps agents
12 / 14Full SRE and DevOps agents ranking · Compare the whole lane on all 14 axes
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13. Innovaccer, for healthcare agents
11.5 / 14Full healthcare agents ranking · Compare the whole lane on all 14 axes
Documented coverage by use case
Share of each lane documenting full coverage on this axis. Vendors that sit in two lanes count in both, the same rule the rankings and matrices use.
| Use case | Full coverage | Share |
|---|---|---|
| multi-agent platforms | 38 of 52 | 73% |
| agent builders | 81 of 115 | 70% |
| security and SOC agents | 55 of 85 | 65% |
| agent infrastructure platforms | 121 of 186 | 65% |
| SRE and DevOps agents | 23 of 37 | 62% |
| browser and computer-use agents | 25 of 42 | 60% |
| data analyst agents | 33 of 59 | 56% |
| voice agents | 44 of 83 | 53% |
| enterprise operations agents | 154 of 297 | 52% |
| healthcare agents | 33 of 69 | 48% |
| customer support agents | 53 of 113 | 47% |
| coding agents | 30 of 64 | 47% |
| GTM and revenue agents | 29 of 138 | 21% |
Recent verified changes from the vendors named above
Capability coverage is not a static picture. These are the most recent sourced change log entries for the platforms listed above, newest first, one per vendor. Scores on this page update as entries like these are verified.
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GitHub Copilot observability / auditability
Medium impactGitHub added VS Code Agents to Copilot usage metrics, so agent sessions now appear alongside the rest of Copilot usage in the metrics surface.
September 11, 2026 · Verified · All GitHub Copilot changes
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Gumloop observability / auditability
Medium impactAgent Chat Evaluations let teams define criteria and automatically grade agent chats.
June 16, 2026 · Verified · All Gumloop changes
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Mastra observability / auditability
High impactMastra added stored-entity HTTP APIs, browser session probing, screencast support, delta-polling observability, stricter authorization defaults, Convex native vector search, Google Cloud Spanner storage, upgraded agent channels, client-side tool observability, and a FilesSDK-backed workspace filesystem provider.
May 27, 2026 · Verified · All Mastra changes
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UiPath human approval / guardrails
High impactAdministrators can now bring their own safety vendor into UiPath's AI Trust Layer, in preview, so agent guardrails run under the customer's own vendor agreement and region. Azure AI Language, Azure Content Safety and Noma are supported, checks can be enforced across the organization, and each evaluation is recorded in the agent trace.
October 1, 2026 · Partially Verified · All UiPath changes
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FLOWX.AI agent capability
High impactFlowX.AI 5.13.0 adds an AI agent to its Designer that surveys an existing app, drafts a plan from a plain language request, then builds or edits processes, screens, workflows and data types. It runs only after the builder confirms the plan and reviews each step, works on its own branch, and refuses destructive changes such as deleting a process with live instances.
September 28, 2026 · Verified · All FLOWX.AI changes
Full change log · updated weekly across the whole index
Questions buyers ask
Is analytics the same as observability?
No. Analytics counts outcomes. Observability reconstructs a specific run, including the tool calls and decisions that produced it, which is what an incident review or an auditor actually needs.
Do I need this if the vendor has audit certification?
Usually yes. Certification tells you the vendor has controls. A trace tells you what your agent did last Tuesday, and only one of those helps when a customer disputes an action.
Which platforms are strongest here?
Coverage clusters in the security, multi agent and infrastructure lanes. The named leaders below are the highest total coverage vendor in each lane that documents full evidence on this axis.
The other 13 axes
No single axis decides a shortlist. Buyers who care about this one usually check security, identity & governance and memory & state persistence next, or open the full taxonomy to see how the 14 axes fit together.