Tavily web search — POST { query, max_results?
Tavily web search — POST { query, max_results?: 5 } on search.gedx402.com; ranked results via Tavily API. $0.042 USDC per request. AM-winning shape at /v1/search. Agent search: tavily, web search, serp, search lite, semantic search.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
486 msmedian answer time
$0.042listed price per call
$0.042price 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
POST https://search.gedx402.com/v1/search
| Category | Search and research |
|---|---|
| Provider host | search.gedx402.com |
| Networks | eip155:137, eip155:42161, eip155:480, eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 9 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.042 | 486 ms |
Example input (from the provider)
{
"body": {
"max_results": 5,
"query": "GEDX402 x402 API pricing",
"search_depth": "basic"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": true,
"properties": {
"max_results": {
"type": "integer"
},
"query": {
"type": "string"
},
"search_depth": {
"enum": [
"basic",
"advanced"
],
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}