Agentrx Systematic Debugging F
diagnoses AI agent failures by pinpointing the first unrecoverable 'critical failure step' in agent execution trajectories
What it does
The specific capability behind this listing, and where to get it.
Agentrx Systematic Debugging F
diagnoses AI agent failures by pinpointing the first unrecoverable 'critical failure step' in agent execution trajectories
Official Agentrx Systematic Debugging F links
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is Agentrx Systematic Debugging F good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "agentrx_systematic_debugging_f",
"name": "Agentrx Systematic Debugging F",
"url": "https://microsoft.com/en-us/research/blog/systematic-debugging-for-ai-agents-introducing-the-agentrx-framework",
"logo": "https://agentery.com/logos/CP-34287W.ico",
"niche": "ai-debugging-agent",
"category": "developer-tools-infra",
"short_summary": "diagnoses AI agent failures by pinpointing the first unrecoverable 'critical failure step' in agent execution trajectories",
"task_performed": "diagnoses AI agent failures by pinpointing the first unrecoverable 'critical failure step' in agent execution trajectories",
"inputs_accepted": [
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"and domain policies"
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"outputs_produced": [
"auditable validation log of evidence-backed constraint violations",
"predicted critical failure step",
"and root-cause failure category"
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"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://microsoft.com/en-us/research/blog/systematic-debugging-for-ai-agents-introducing-the-agentrx-framework",
"checked_at": "2026-07-26T04:29:31.507Z",
"amount": null,
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"source": "render+llm"
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"trust_or_rating_signal": [
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"released research paper",
"annotated benchmark of 115 failed trajectories",
"benchmarked against τ-bench, Flash, Magentic-One"
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"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://microsoft.com/en-us/research/blog/systematic-debugging-for-ai-agents-introducing-the-agentrx-framework",
"https://www.microsoft.com/en-us/research/blog/systematic-debugging-for-ai-agents-introducing-the-agentrx-framework/"
],
"last_checked": "2026-06-16",
"how_to_connect": {
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"docs": "https://microsoft.com/developer",
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"liveness": {
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"endpoint_kind": "site",
"latency_ms": 669,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:30:37.802Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
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"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}