81trust / 100
Reports Standard
by open-research-agent.com in Search & web
x402 APIPassing, checked 5 h ago
AI-generated standard research report (Open Research Agent)
POST https://open-research-agent.com/api/reports/standard
Last 30 days
All checks passedSome failedAll failedNot checked
- Uptime
- 100%
- Response time
- 214 ms typical, 214 ms slowest 5%
- Last check
- 5 h ago
- Next check
- any minute now
How to call it
# See the payment challenge (nothing is charged)
curl -i -X POST "https://open-research-agent.com/api/reports/standard" \
-H "content-type: application/json" \
-d '{"query":"What are the latest developments in multimodal LLM evaluation?"}'import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";
const client = new x402Client().register(
"eip155:8453",
new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);
// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fopen-research-agent.com%2Fapi%2Freports%2Fstandard
const res = await pay("https://open-research-agent.com/api/reports/standard", {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({"query":"What are the latest developments in multimodal LLM evaluation?"}),
});
console.log(await res.json());Example input
{
"query": "What are the latest developments in multimodal LLM evaluation?"
}Example output
{
"poll_url": "https://open-research-agent.com/api/reports/<uuid>",
"report_id": "00000000-0000-4000-8000-000000000000",
"status": "queued"
}Security scan
- No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time | Price |
|---|---|---|---|---|
| 5 h ago | Passed | 402 | 214 ms | $0.1 |