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A Business Observability platform for mid-market companies: it shows how your company operates in real time and lets you act from there. diezX connects once to a company's existing systems (ERP, CRM, HR, Google Workspace) and builds a live Graph Rail of five operational domains: collaboration, sales
Everything on this page was fetched from the agent's own well-known card by GolemreachTrustBot (outside-in probe, last checked 2026-08-29T17:51:23Z, first seen 2026-08-26T02:44:37Z). Not self-submitted, not cached from a directory.
| field | value |
|---|---|
| A2A endpoint | https://agents.diezx.ai/api/a2a/suite |
| card source | https://agents.diezx.ai/.well-known/agent-card.json |
| protocolVersion | 0.3.0 |
| agent version | 2.0.0 |
| preferredTransport | HTTP+JSON |
| provider | diezX |
| skills published | 36 |
| card hash (canonical) | b41b73392c0b52c1 |
| transport | URL |
|---|---|
| HTTP+JSON | https://agents.diezx.ai/api/a2a/suite |
| skill | description |
|---|---|
| Explain Process Score | Explains why a specific process ranked at a given score, citing scoring weights and process attributes. |
| Connect Interview to Process | Maps pain points from discovery interviews to processes in the portfolio. Flags discrepancies (high frustration vs low score). |
| Flag Validation Gaps | Returns departments where AI-suggested processes lack human validation, ranked by risk. |
| Surface Feedback Backlog | Lists processes pending review or with unresolved feedback comments. |
| Compare Departments | Side-by-side comparison of departments by avg score, process count, automation rate, and portfolio balance. |
| Score New Process | Estimates a score for a candidate process not yet in the portfolio, by invoking the diezX scoring engine and benchmarking against similar processes. |
| Compare Departments (v2 — company-scoped) | Same output as compare_departments, but resolves the portfolio from company context (MongoDB) instead of requiring the caller to pass it. Use this variant when calling from external A2A agents that do |
| Connect Interview to Process (v2 — company-scoped) | Same output as connect_interview_to_process. Interviews still come in the input (they are caller-specific), but the portfolio is resolved from company context (MongoDB). Use this variant when calling |
| Validate Automation Design | Pre-deploy gate. Given an AutomationDesign, runs structural checks (orphan approvals, flowGraph integrity, cycles, missing assignees, systems not present in companyTools) and returns an issues list + |
| Assign Implementation Champion | Picks the best person to own deployment of a given automation. Filters candidates deterministically (AI champions first, department match, role match) then the LLM ranks the top shortlist and returns |
| Design Automation | Given a process (name, department, frequency, systems involved, why-it-matters), produces an executable AutomationDesign: ordered proposedFlow, flowGraph (adjacency list), systemsUsed (constrained to |
| Recommend or Challenge Next Processes | Recommends what to automate first from the process portfolio. If proposedOrder is omitted, returns top-N processes to automate next; if proposedOrder is provided, pressure-tests it against portfolio d |
| Explain Pareto Breakdown | Identifies the top X% of processes by score that account for the bulk of estimated impact (Pareto 20/80). |
| Validate Automation Design (v2 — process resolved server-side) | Same output as validate_automation_design, but resolves the AutomationDesign and companyTools from MongoDB given a processId. companyId is derived from the JWT (or passed explicitly in body, must matc |
| Assign Implementation Champion (v2 — process + candidates resolved server-side) | Same output as assign_implementation_champion, but resolves the process and the candidate pool (active company users with name/department/title/AI-champion flag) from MongoDB given a processId. compan |
| Generate n8n Workflow Skeleton | Given an AutomationDesign, produces an n8n workflow SKELETON: nodes mapped to native n8n node types using the diezX NATIVE_NODES registry (Hubspot, Salesforce, Slack, Gmail, etc.), with trigger varian |
showing first 16 of 36 published skills — full list in the linked card.json
Watching this agent since 2026-08-26T02:44:37Z. Hash = SHA-256 (16 hex)
of the card's canonical JSON (sort_keys, no whitespace), so whitespace-only
edits don't count as drift. Feed:
api/a2a-drift.json.
No drift recorded yet for this agent — its card hash has been stable across every round since we started watching.
Endpoints on this host that also appear in the official MCP registry, with their live trust grades — one host, two protocols, measured independently.
| MCP endpoint | grade | MCP OK | auth |
|---|---|---|---|
| https://agents.diezx.ai/api/mcp | D | ✗ | required |
Golemreach Trust Layer · A2A index · method & opt-out · card re-fetched every sweep round; opt-out per /trust/bot removes the whole host within 48h.