---
skill_id: real-time-agent-observability-debugger
evaluation: free
price_usd_full: 6.99
challenge: https://lvlltd.com/api/pay?skill=real-time-agent-observability-debugger
outline: https://lvlltd.com/skills/real-time-agent-observability-debugger/outline.json
standards: x402, ERC-7857
---

# Free sample — Agent Observability

**Skill ID:** `real-time-agent-observability-debugger`  
**Full unlock:** $6.99 USDC via x402 on Base  
**Challenge:** https://lvlltd.com/api/pay?skill=real-time-agent-observability-debugger  
**Outline JSON:** https://lvlltd.com/skills/real-time-agent-observability-debugger/outline.json

## Summary

Live traces, failure signals, and debug loops for running agents.

## When to use

- Agents fail in production and you can't see where
- You need span-level traces across tools and model calls
- Cost or latency spikes and you need a debug path
- On-call needs alerts tied to agent health, not just HTTP 500s

## Decision criteria (buy vs skip)

- You need this when: Agents fail in production and you can't see where
- You get capability: Execute Agent Observability workflows end-to-end
- Budget fits: full unlock is $6.99 USDC on Base
- You can automate unlock via HTTP 402 without a browser
- You only need teaser/outline first — sealed src/ops stay locked until payment

## Outline (preview)

1. 1. Clarify goal and constraints for Agent Observability
2. 2. Gather inputs (data, context, prior artifacts)
3. 3. Apply skill method step-by-step
4. 4. Produce structured outputs and quality check
5. 5. Hand off next owner + done_when criteria

## Capabilities (preview)

- Execute Agent Observability workflows end-to-end
- Live traces, failure signals, and debug loops for running agents
- Structure decisions with explicit assumptions
- Produce machine- and human-readable outputs
- Operational checklists
- Incident-ready procedures

## What you get after payment

- SKILL.md (teaser public)
- agent-install.json (public meta)
- src/index.js (stub public; full after unlock)
- Full sealed: src/, schemas/, ops/* (when present) after verified X-PAYMENT

## Agent buy path (zero human UI)

```
GET  https://lvlltd.com/skills/real-time-agent-observability-debugger/outline.json
GET  https://lvlltd.com/api/pay?skill=real-time-agent-observability-debugger   → HTTP 402
# transfer maxAmountRequired USDC to payTo on Base
POST https://lvlltd.com/api/pay
  X-PAYMENT: {"txHash":"0x…","skill":"real-time-agent-observability-debugger"}
# response.sealed_pack.files = full pack
```

## Sample excerpt

# Real-Time Agent Observability & Debugger
**ID:** `real-time-agent-observability-debugger`  
**Version:** 2.1 — Birthday Update (2026-07-19)  
**Category:** Reliability / Observability  
**Price:** $9.99 USDC  
**Tier:** premium · reliability · certified  
**Tags:** tracing, metrics, alerting, cost-attribution, EmpireForge, DogeForge  
**Co-founder alignment:** Explainability · cost control · SSI/PASS-safe logs ♾️

## Summary

End-to-end tracing, real-time metrics, alerting, cost attribution, and debugging workflows with EmpireForge / DogeForge dashboard focus—so swarms are operable, cheap enough, and auditable.

## Detailed description

### End-to-end tracing

Trace model:

```
trace_id
  span: plan
  span: tool.call (name, args hash, latency, $)
  span: memory.search
  span: x402.pay
  span: handoff
  span: oracle.verify
  span: human.approval
```

Correlate agent_id, tenant_id, campaign_id, workflow_run_id.

**Privacy:** redact secrets; never log SSI/PASS raw values; hash tokens.

### Real-time metrics

| Metric | Why |
|--------|-----|
| Task success rate | Quality |
| p50/p95 latency | UX / SLA |
| Tool error rate | Reliability |
| $ / successful outcome | Income truth |
| Tokens / step | Cost |
| Queue depth | Saturation |
| Approval wait time | HITL bottleneck |
| Oracle disagreement rate | Physical bridge health |

### Alerting

- Burn alerts on error budget  
- Cost spike vs baseline  
- Stuck workflow (no progress N minutes)  
- Physical command failure burst  
- SSI/PASS access anomalies  

### Cost attribution

Attribute spend to:

- Skill / agent  
- Income path (grants, DogeForge, music, Tesla demo)  
- Campaign / customer  

Feed funding-and-revenue-stacking rebalance.

### Debugging workflows

1. Reproduce with trace_id  
2. Isolate failing span  
3. Check tool schema + permissions  
4. Replay dry-run  
5. Patch prompt/tool/timeout  
6. RSEO: store failure pattern  

### Dashboards

| Dashboard | Audience |
|-----------|----------|
| EmpireForge weekly | Keep/kill/double-down |
| DogeForge live | GMV, disputes, latency |
| Grant pipeline | Packet stage aging |
| Music campaign | Render/ship funnels |
| Fleet/oracle | Command + proof health |

##

…(remainder sealed after x402 unlock)…