Explore the capabilities exposed by this agent. Invoke with JSON, stream responses when available, and inspect pricing where monetization applies.
Free overview - agent capabilities and pricing
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {},
"additionalProperties": false
}
curl -s -X POST \
'https://research-intel-production.up.railway.app/entrypoints/overview/invoke' \
-H 'Content-Type: application/json' \
-d '
{
"input": {}
}
'
Search academic papers by keyword query
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query (e.g., \"machine learning\", \"climate change\")"
},
"limit": {
"default": 10,
"description": "Number of results (1-100)",
"type": "number",
"minimum": 1,
"maximum": 100
},
"year": {
"description": "Filter by year range (e.g., \"2020-2024\" or \"2023\")",
"type": "string"
}
},
"required": [
"query",
"limit"
],
"additionalProperties": false
}
curl -s -X POST \
'https://research-intel-production.up.railway.app/entrypoints/paper-search/invoke' \
-H 'Content-Type: application/json' \
-d '
{
"input": {
"query": "<Search query (e.g., \"machine learning\", \"climate change\")>",
"limit": 1
}
}
'
Get full paper details including abstract and references
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"paperId": {
"type": "string",
"description": "Semantic Scholar paper ID, DOI, or arXiv ID"
}
},
"required": [
"paperId"
],
"additionalProperties": false
}
curl -s -X POST \
'https://research-intel-production.up.railway.app/entrypoints/paper-details/invoke' \
-H 'Content-Type: application/json' \
-d '
{
"input": {
"paperId": "<Semantic Scholar paper ID, DOI, or arXiv ID>"
}
}
'
Search for academic authors/researchers by name
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Author name to search"
},
"limit": {
"default": 10,
"description": "Number of results (1-50)",
"type": "number",
"minimum": 1,
"maximum": 50
}
},
"required": [
"query",
"limit"
],
"additionalProperties": false
}
curl -s -X POST \
'https://research-intel-production.up.railway.app/entrypoints/author-search/invoke' \
-H 'Content-Type: application/json' \
-d '
{
"input": {
"query": "<Author name to search>",
"limit": 1
}
}
'
Get all papers published by an author
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"authorId": {
"type": "string",
"description": "Semantic Scholar author ID"
},
"limit": {
"default": 20,
"description": "Number of papers (1-100)",
"type": "number",
"minimum": 1,
"maximum": 100
}
},
"required": [
"authorId",
"limit"
],
"additionalProperties": false
}
curl -s -X POST \
'https://research-intel-production.up.railway.app/entrypoints/author-papers/invoke' \
-H 'Content-Type: application/json' \
-d '
{
"input": {
"authorId": "<Semantic Scholar author ID>",
"limit": 1
}
}
'
Get papers that cite a given paper
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "object",
"properties": {
"paperId": {
"type": "string",
"description": "Semantic Scholar paper ID, DOI, or arXiv ID"
},
"limit": {
"default": 20,
"description": "Number of citations (1-100)",
"type": "number",
"minimum": 1,
"maximum": 100
}
},
"required": [
"paperId",
"limit"
],
"additionalProperties": false
}
curl -s -X POST \
'https://research-intel-production.up.railway.app/entrypoints/citations/invoke' \
-H 'Content-Type: application/json' \
-d '
{
"input": {
"paperId": "<Semantic Scholar paper ID, DOI, or arXiv ID>",
"limit": 1
}
}
'
Use the x402-fetch helpers to wrap a standard
fetch call and automatically attach payments. This
script loads configuration from .env, pays the
facilitator, and logs both the response body and the decoded
payment receipt.
import { config } from "dotenv";
import {
decodeXPaymentResponse,
wrapFetchWithPayment,
createSigner,
type Hex,
} from "x402-fetch";
config();
const privateKey = process.env.AGENT_WALLET_PRIVATE_KEY as Hex | string;
const agentUrl = process.env.AGENT_URL as string; // e.g. https://agent.example.com
const endpointPath = process.env.ENDPOINT_PATH as string; // e.g. /entrypoints/echo/invoke
const url = `${agentUrl}${endpointPath}`;
if (!agentUrl || !privateKey || !endpointPath) {
console.error("Missing required environment variables");
console.error("Required: AGENT_WALLET_PRIVATE_KEY, AGENT_URL, ENDPOINT_PATH");
process.exit(1);
}
/**
* Demonstrates paying for a protected resource using x402-fetch.
*
* Required environment variables:
* - AGENT_WALLET_PRIVATE_KEY Wallet private key for signing payments
* - AGENT_URL Base URL of the agent server
* - ENDPOINT_PATH Endpoint path (e.g. /entrypoints/echo/invoke)
*/
async function main(): Promise<void> {
// const signer = await createSigner("solana-devnet", privateKey); // uncomment for Solana
const signer = await createSigner("base-sepolia", privateKey);
const fetchWithPayment = wrapFetchWithPayment(fetch, signer);
const response = await fetchWithPayment(url, { method: "GET" });
const body = await response.json();
console.log(body);
const paymentResponse = decodeXPaymentResponse(
response.headers.get("x-payment-response")!
);
console.log(paymentResponse);
}
main().catch((error) => {
console.error(error?.response?.data?.error ?? error);
process.exit(1);
});
Fetching agent card…