TENNA Launch Intelligence · Tenna Tenna Observatory Round Preview

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://app.tenna.ai/api/x402/tenna/tenna_observatory_round_preview", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    "offering": "observatory_round_preview"
  }),
});
const data = await res.json();

curl -X POST \
  "https://app.tenna.ai/api/x402/tenna/tenna_observatory_round_preview" \
  -H "Content-Type: application/json" \
  -d '{"offering":"observatory_round_preview"}' \
  -H "X-PAYMENT: <signed x402 payment>"

{
  "accessPolicy": {},
  "additionalAiCalls": 1,
  "agentTimeframeContext": {},
  "agents": [
    {}
  ],
  "appUrl": "<appUrl>",
  "availabilitySummary": {},
  "contentBoundaryEn": "<contentBoundaryEn>",
  "dataState": "<dataState>",
  "edge": {},
  "limitations": [
    "<limitations>"
  ],
  "offering": "observatory_round_preview",
  "pipelineDecisionContext": {},
  "provenance": {
    "auditedDeliverableHash": null,
    "generatedAt": 1,
    "ledgerLaunchCount": null,
    "ledgerSpanHours": null,
    "resultHash": null,
    "rubricVersion": null,
    "source": "<source>"
  },
  "recentAccuracyContext": {},
  "recentAccuracyPct": {},
  "recentAccuracyPctRoleEn": "<recentAccuracyPctRoleEn>",
  "reuseOnly": true,
  "round": null,
  "roundRelationship": {},
  "schemaVersion": "<schemaVersion>",
  "signalComparison": {}
}