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SignalDesk AI - Autonomous Research & Analysis Agent Runner
x402
SignalDesk AI - Autonomous Research & Analysis Agent Runner is a paid API for AI agents from x402-agent.kariguetoazul.workers.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-10).
Queues and executes autonomous AI research, domain analysis, or dependency investigation jobs with evidence-backed results, running outside the chat via Cloudflare Queue/D1/cron infrastructure
Price / call$0.05
Success—
StatusUnknown
How this service works
Evidence-backed autonomous AI jobs and paid data tools. Queue/D1/cron run outside the chat; free quotas and bounded execution apply.
Output
Returns a JSON object containing a job_id, an initial status of 'queued', a charged flag indicating payment status, and a status_url path where the agent can poll for results once the async job completes outside the chat session.
Example use cases
Autonomous competitor domain research
“Queue a research job to analyze the domain signals and tech stack of stripe.com — use the 'domain' workflow and set the objective to 'understand the infrastructure and key technology choices behind stripe.com'.”
Open-source dependency vulnerability sweep
“Start a dependencies workflow on SignalDesk AI with the objective 'identify known vulnerabilities and transitive risks in the fastapi Python package' and allow the external fallback model since this is all public info.”
Custom market landscape analysis
“Run a custom workflow with the objective 'summarize the competitive landscape of AI-powered legal document review tools in 2024, citing evidence sources' — it's non-confidential so you can use the free external model.”
Technical details
Endpoint
POSThttps://x402-agent.kariguetoazul.workers.dev/api/agent/run?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a long-running, evidence-backed autonomous AI research or analysis task that runs outside the chat session via background queues. Best suited for domain analysis, dependency investigation, general research, or custom AI workflows where you can tolerate async/batch latency and want structured job tracking via a status URL. Prefer over synchronous AI APIs when the task is complex enough to require cron/queue execution or when you need audit-ready job IDs.
Side effects
- Objective too short (minLength 10 not met) — 422 validation error
- Workflow enum value not recognized — 400 bad request
- Payment not processed — 402 Payment Required before job is queued
- Context exceeds 2000 characters — validation rejection
- External model not authorized for confidential/non-public objectives — job may be blocked
- Job queue overload or Cloudflare Worker limits — 503 or timeout
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| context | string | Optional non-secret context. |
| workflow | string | Task family. |
| objective | string | Public research/analysis objective. |
| external_fallback | boolean | Authorise the free external model for non-confidential public jobs. |
Output
Schema · Response
{
"type": "json",
"example": {
"job_id": "example-job-id",
"status": "queued",
"charged": false,
"status_url": "/jobs/example-job-id"
}
}Tags
x402
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