84trust / 100
Fal Generate
by Vaaya in AI models & inference
x402 APIPassing, checked 3 h ago
Generate or edit images, video, music, and speech via fal.ai. Pass `model` (one of the registered keys) plus the model-specific params (prompt, image_url, aspect_ratio, duration, text, etc.).
POST https://vaaya.ai/api/run/fal/generate
Last 30 days
All checks passedSome failedAll failedNot checked
- Uptime
- 100%
- Response time
- 262 ms typical, 262 ms slowest 5%
- Last check
- 3 h ago
- Next check
- any minute now
How to call it
# See the payment challenge (nothing is charged)
curl -i -X POST "https://vaaya.ai/api/run/fal/generate" \
-H "content-type: application/json" \
-d '{"model":"nano-banana-pro--edit"}'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 $0.03:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fvaaya.ai%2Fapi%2Frun%2Ffal%2Fgenerate
const res = await pay("https://vaaya.ai/api/run/fal/generate", {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({"model":"nano-banana-pro--edit"}),
});
console.log(await res.json());Example input
{
"model": "nano-banana-pro--edit"
}Example output
{
"charged_cents": 40,
"data": {},
"ok": true
}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 |
|---|---|---|---|---|
| 3 h ago | Passed | 402 | 262 ms | $0.4 |