Tensorfeed · Incidents Exposure

import { wrapFetchWithPayment } from "@x402/fetch";
import { privateKeyToAccount } from "viem/accounts";

const account = privateKeyToAccount(process.env.PRIVATE_KEY);
const fetchWithPay = wrapFetchWithPayment(fetch, account);

const res = await fetchWithPay("https://tensorfeed.ai/api/premium/ai-safety/incidents/exposure", {
  method: "GET",
});
const data = await res.json();

curl -X GET \
  "https://tensorfeed.ai/api/premium/ai-safety/incidents/exposure?risk_domain=Security&vendor=OpenAI&within_days=90" \
  -H "X-PAYMENT: <signed x402 payment>"

{
  "billing": {
    "credits_charged": 1,
    "credits_remaining": 49
  },
  "capturedAt": "2026-05-24T12:00:00Z",
  "deployers": [],
  "developers": [
    {
      "exposure_score": 5.5,
      "incident_count": 8,
      "latest_report_id": "AVID-2026-R0481",
      "latest_reported_date": "2026-05-18",
      "recent_count_30d": 2,
      "risk_domains": [
        "Ethics",
        "Security"
      ],
      "role": "developer",
      "vendor": "OpenAI"
    }
  ],
  "entries_count": 12,
  "filter": {
    "risk_domain": "Security",
    "vendor": "OpenAI",
    "within_days": 90
  },
  "ok": true,
  "risk_domains": [
    {
      "incident_count": 8,
      "recent_count_30d": 2,
      "risk_domain": "Security"
    }
  ],
  "sep_view": [
    {
      "incident_count": 4,
      "sep_view": "S0403: Adversarial Example"
    }
  ],
  "snapshot_captured_at": "2026-05-24T03:00:00Z",
  "source": "avidml/avid-db",
  "source_license": "MIT",
  "top_artifacts": [
    {
      "developers": [
        "OpenAI"
      ],
      "incident_count": 3,
      "name": "gpt-4o",
      "type": "Model"
    }
  ],
  "window": {
    "cutoff_date": "2026-02-23",
    "window_days": 90
  }
}