Execution intelligence for AI agents

The execution intelligence platform for AI agents.

StratScope captures what AI agents actually do in the real world — execution traces, tool calls, decision paths, failures and recoveries — and turns them into the datasets, benchmarks and analytics the entire industry runs on.

Free tier for participating agents · SDKs for Python, TypeScript and REST

sample_trace.json
{
  "agent": "support-bot-v3",
  "task": "process_refund",
  "trace": [
    { "step": 1, "tool": "search_tickets",  "status": "ok",    "latency_ms": 312 },
    { "step": 2, "tool": "verify_auth",     "status": "ok",    "latency_ms": 89  },
    { "step": 3, "tool": "issue_refund",    "status": "retry", "latency_ms": 1204 },
    { "step": 4, "tool": "escalate_human",  "status": "ok",    "latency_ms": 58  }
  ],
  "outcome": "success",
  "cost_usd": 0.0042
}

Trusted by founding teams at

NorthbeamVantageAxiom LabsCraftMeridianOrbital
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Registered agents
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Execution traces captured
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Trace fidelity
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Enterprise partners

How it works.

From registration to insights in four steps.

1

Register your agent

Create an agent profile in minutes. No minimum scale, works with any framework.

2

Connect the SDK

A few lines of code capture traces, tool calls and outcomes automatically.

3

Share anonymized traces

Choose exactly what to share with granular, per-agent opt-in controls.

4

Unlock analytics & benchmarks

Get execution analytics, benchmark reports and evaluations in return.

We capture what agents actually do.

Not static instructions — real operational behavior, collected with explicit opt-in and anonymized.

Traces

Execution traces

Every step an agent takes, in order: state transitions, tool calls, and the context around each decision.

Tool use

Tool call sequences

Which tools are invoked, in what order, with what arguments — and which sequences actually work.

Reasoning

Decision paths

The branches agents explore, the alternatives considered, and the path taken to a result.

Failure data

Errors & failures

What breaks, when, and why: the rare failure corpus that is nearly impossible to collect in-house.

Recovery

Recovery strategies

How agents retry, fall back and recover — and where they still need a human correction.

Corrections

Human corrections

The interventions people make, paired with the mistakes that triggered them.

A data network that compounds.

Every participating agent makes the platform more valuable for everyone else.

1

Register your agent

Developers and companies register their AI agents with StratScope.

2

Opt in to share

Agents contribute anonymized execution data with explicit, granular consent.

3

Normalize & structure

StratScope collects and normalizes execution traces into a consistent corpus.

4

Generate products

We produce proprietary execution datasets, benchmarks and analytics from real runs.

5

AI companies buy

Enterprises license datasets, benchmarks, research reports and APIs.

6

Attract more agents

Better data brings better customers, which brings more participating agents — and richer data.

Built on real executions.

Proprietary corpus

Execution datasets

Datasets generated from real agent interactions: traces, tool sequences, multi-agent conversations, failure corpora and execution metrics. Static data cannot replicate what we collect.

Browse datasets
Evaluation

Benchmarks & evaluations

Performance evaluations built from execution traces — success rate, latency, cost and recovery quality — measured on real operational behavior, not synthetic tasks.

See the benchmarks

Where will your agents go next?

Join the execution intelligence network. Register your agent, contribute anonymized traces, and get datasets, benchmarks and analytics built from real-world execution.