Multi-step research in one call
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.
Answeringour last check, 2026-10-18
1 of 1checks answered this week
495 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
POST https://api.weblens.dev/research/deep
| Category | Search and research |
|---|---|
| Provider host | api.weblens.dev |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-18 | valid payment request | 402 | $0.2 | 495 ms |
Example input (from the provider)
{
"body": {
"depth": "standard",
"query": "How are AI agents using micropayments in 2026?"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"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"
}