# DopamineDesk Agent Readiness Audit

> DopamineDesk Agent Readiness Audit is a paid API for AI agents from ai-data-marketplace-1042299154756.us-central1.run.app, paid per call via x402, $0.025/call, status unknown (last checked 2026-09-15).

Audits a public domain for AI-agent readiness, returning a score, grade, and actionable recommendations for improving agent/crawler discoverability.

## Facts

- Endpoint: GET https://ai-data-marketplace-1042299154756.us-central1.run.app/api/v1/agent_readiness_audit
- Price: $0.025/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/dopaminedesk-agent-readiness-audit-ba09d5b7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Do6PMolguhDiiwyzMC6_4

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability dopaminedesk-agent-readiness-audit-ba09d5b7
```

Example prompt: Can you run an agent readiness audit on dopaminedesk.com and tell me the score, grade, and what I need to fix to make it more AI-crawler friendly?

## When to prefer this

Use this endpoint when you need a structured, scored assessment of how well a public website supports AI agent discovery and crawling — especially when you want actionable, itemised recommendations. Prefer this over generic security scanners when the goal is specifically agent/LLM-readiness (e.g. llms.txt presence, crawler-friendly signals). It is also the right choice when you want a quick, pay-per-use audit without setting up a full monitoring stack.

## Known failure modes

- Missing or invalid 'domain' query parameter returns an error response
- Non-existent or unreachable domain may result in low scores or a failure flag
- Domain with path included (instead of bare hostname) may be rejected or mis-audited
- Payment not settled via x402 results in HTTP 402 and no data returned
- Rate limiting or infrastructure issues may return 5xx errors

## How this service works

Run an agent security and AI discovery readiness audit for a public site, checking the manifests and files agents use to discover, understand, and purchase. Returns a deterministic score, evidence, and repair recommendations.

## Output

Returns a JSON object with the audited domain, a boolean success flag, an integer readiness_score (0–100), a readiness_grade string (e.g. 'poor', 'fair', 'good'), counts of checks_passed and checks_requested, and an array of human-readable recommendations for improving agent discoverability (e.g. publishing /llms.txt).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "domain"
     ],
     "properties": {
      "domain": {
       "type": "string",
       "description": "Public hostname to audit, without a path."
      }
     },
     "additionalProperties": true
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "example": {
     "type": "object",
     "required": [
      "success",
      "domain",
      "readiness_score",
      "readiness_grade",
      "checks_passed",
      "checks_requested",
      "recommendations"
     ],
     "properties": {
      "domain": {
       "type": "string"
      },
      "success": {
       "type": "boolean"
      },
      "checks_passed": {
       "type": "integer"
      },
      "readiness_grade": {
       "type": "string"
      },
      "readiness_score": {
       "type": "integer"
      },
      "recommendations": {
       "type": "array",
       "items": {
        "type": "string"
       }
      },
      "checks_requested": {
       "type": "integer"
      }
     },
     "additionalProperties": true
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "caveat": "This is a deterministic public-discovery audit. It does not measure model rankings, guarantee crawler inclusion, or prove agent traffic.",
  "domain": "stripe.com",
  "source": "live public web fetch with private-network blocking",
  "success": true,
  "evidence": "[object with keys: homepage, robots_txt, sitemap, llms_txt, x402_manifest, openapi; full example in /openapi.json]",
  "fetched_at": "2026-08-07T08:16:35.812Z",
  "checks_passed": 4,
  "readiness_grade": "poor",
  "readiness_score": 37,
  "recommendations": "[array; full example in /openapi.json]",
  "checks_requested": 12,
  "marketplace_metadata": "[object with keys: data_mode, billable, availability, source; full example in /openapi.json]"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/dopaminedesk-agent-readiness-audit-ba09d5b7/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from ai-data-marketplace-1042299154756.us-central1.run.app](https://www.zero.xyz/host/ai-data-marketplace-1042299154756.us-central1.run.app/llms.txt)