An AI-written Markdown report (about 500 to 900 words, 1200 to 1800 with length
An AI-written Markdown report (about 500 to 900 words, 1200 to 1800 with length long) on a topic, company or token, built from Wikipedia, recent news, Hacker News, Bluesky and Lemmy discussions and, for kind company or token, our structured checks. Every claim cites a numbered source; the sources list is returned. Use for due diligence and briefings. kind: topic (default), company or token. language: en or de. Errors with Not charged when fewer than 2 relevant sources are found.
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://agentsvc.io/api/v1/proxy/research-report
| Category | Company and compliance |
|---|---|
| Provider host | agentsvc.io |
| Networks | eip155:137, eip155:42161, 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 | $0.6 | 909 ms |
Example input (from the provider)
{
"body": {
"kind": "topic",
"topic": "Aerodrome Finance"
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"chain": {
"type": "string"
},
"domain": {
"description": "company kind: domain",
"type": "string"
},
"kind": {
"description": "topic, company or token",
"type": "string"
},
"language": {
"description": "en or de",
"type": "string"
},
"length": {
"description": "standard or long",
"type": "string"
},
"token": {
"description": "token kind: contract address",
"type": "string"
},
"topic": {
"description": "What to research, or company name",
"type": "string"
}
},
"required": [
"topic"
]
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"data": {
"properties": {
"model": {
"type": "string"
},
"report_markdown": {
"type": "string"
},
"sources": {
"type": "array"
},
"word_count": {
"type": "number"
}
},
"type": "object"
},
"success": {
"type": "boolean"
}
},
"required": [
"success",
"data"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}