ToolAssay

Describe a screen in plain English via `?q=` (e.g

Describe a screen in plain English via `?q=` (e.g. 'oversold large caps up today on high volume'). An LLM parses it into a filter, screens the entire US market, optionally confirms oversold/overbought with RSI, and returns a ranked shortlist with a one-line rationale per name. No need to know the filter schema or run the enrichment loop yourself. From x402stock

Answeringour last check, 2026-09-24
1 of 1checks answered this week
638 msmedian answer time
$0.2listed price per call
$0.2price it asked us

Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.

Endpoint

GET https://agents.x402stock.xyz/api/v1/screener/smart

CategoryMarket data
Provider hostagents.x402stock.xyz
Networkseip155:8453
Payment schemesexact
Self-reported calls, 30 days4 from 1 payers (the provider's figure, not ours)

Our checks, last 30 days

DayResultHTTPAskedTime
2026-09-24 valid payment request 402$0.2 638 ms

Example input (from the provider)

{
  "method": "GET",
  "queryParams": {},
  "type": "http"
}

Promised output schema (from the provider)

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "input": {
      "additionalProperties": false,
      "properties": {
        "method": {
          "enum": [
            "GET",
            "HEAD",
            "DELETE"
          ],
          "type": "string"
        },
        "queryParams": {
          "properties": {},
          "type": "object"
        },
        "type": {
          "const": "http",
          "type": "string"
        }
      },
      "required": [
        "type",
        "method"
      ],
      "type": "object"
    }
  },
  "required": [
    "input"
  ],
  "type": "object"
}

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