WebLens
Multi-step research in one call: plans sub-questions, searches each, fetches and dedupes sources, and synthesizes an answer with inline [n] citations, key findings, and gaps. Tiers: quick = 1 search / 5 sources ($0.08); standard = 3 sub-questions / 8 sources ($0.20); deep = 5 sub-questions / 12 sources ($0.35). Default: standard.
Offering
- Provider
- api.weblens.dev
- Method
- POST
- Offering type
- Api Endpoint
- Transport type
- http
- Category
- Web Search Research
- Delivery
- Not provided
- Pricing model
- Not provided
- x402 version
- 2
Endpoint context
- URL
https://api.weblens.dev/research/deep- MIME type
- Not provided
- First seen
- 2026-10-16T01:50:24.663Z
- Last seen
- Tags
- Research, AI, multi-step
Payment pricing
x402 payment terms are the authoritative price for calling this endpoint.
- Payment option 1
- 0.2 USDC
Atomic price: 200000 · Network: eip155:8453 · Asset: USDC · Scheme: exact - Payment option 2
- 0.2 USDC
Atomic price: 200000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
{
"scheme": "exact",
"network": "eip155:8453",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "200000",
"payTo": "0x5f71Ce4135004b5fa4dF81014721598E1C7c5AF8"
},
{
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"amount": "200000",
"payTo": "34sd6wPrmoR9UG9rUgYAFtcWYSVzqDNsvH9VkCkycUeb"
}
]Observed health
- Status
- Healthy
- Latest latency
- 482 ms
- Average latency
- 389 ms
- HTTP status
- 204
- Last checked
- Reachability
- 100% over 13 checks
Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.
Input schema
{
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"depth": {
"default": "standard",
"description": "quick = 1 search / 5 sources ($0.08); standard = 3 sub-questions / 8 sources ($0.20); deep = 5 sub-questions / 12 sources ($0.35). Default: standard.",
"enum": [
"quick",
"standard",
"deep"
],
"example": "standard",
"type": "string"
},
"query": {
"description": "The research question",
"example": "How are AI agents using micropayments in 2026?",
"maxLength": 500,
"minLength": 1,
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
}Output schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"depth": {
"default": "standard",
"description": "quick = 1 search / 5 sources ($0.08); standard = 3 sub-questions / 8 sources ($0.20); deep = 5 sub-questions / 12 sources ($0.35). Default: standard.",
"enum": [
"quick",
"standard",
"deep"
],
"example": "standard",
"type": "string"
},
"query": {
"description": "The research question",
"example": "How are AI agents using micropayments in 2026?",
"maxLength": 500,
"minLength": 1,
"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": {
"properties": {
"answer": {
"description": "Synthesized answer with inline [n] citation markers",
"type": "string"
},
"citations": {
"description": "Sources behind the [n] markers, with the sub-question each answered",
"items": {
"properties": {
"index": {
"type": "integer"
},
"subQuestion": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"type": "object"
},
"type": "array"
},
"depth": {
"enum": [
"quick",
"standard",
"deep"
],
"type": "string"
},
"gaps": {
"description": "What the sources did not establish",
"items": {
"type": "string"
},
"type": "array"
},
"keyFindings": {
"description": "Bullet-point findings drawn from the sources",
"items": {
"type": "string"
},
"type": "array"
},
"query": {
"type": "string"
},
"requestId": {
"type": "string"
},
"researchedAt": {
"type": "string"
},
"sourcesFetched": {
"description": "Sources whose full page was fetched (the rest fall back to their search snippet)",
"type": "number"
},
"subQuestions": {
"description": "The sub-questions the query was decomposed into, one web search each. For quick, the query itself.",
"items": {
"type": "string"
},
"type": "array"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}