Put every market signal in context.

// Run server-side with credentials scoped to this Mind.
const endpoint = process.env.AKASHA_URL;
const capability = process.env.AKASHA_CAPABILITY;
const namespace = process.env.AKASHA_NAMESPACE;
if (!endpoint || !capability || !namespace) {
  throw new Error("Configure your Mind connection and authorized namespace");
}

async function post(path: string, body: unknown) {
  const headers: Record<string, string> = {
    "Content-Type": "application/json",
    "x-akasha-capability": capability!,
  };
  if (process.env.AKASHA_TOKEN) {
    headers.Authorization = "Bearer " + process.env.AKASHA_TOKEN;
  }
  const response = await fetch(new URL(path, endpoint), {
    method: "POST", headers, body: JSON.stringify(body),
  });
  if (!response.ok) throw new Error("Mind request failed: " + response.status);
  return response.json();
}

// A small, untrained network to demonstrate the request sequence.
const network = await post("/v1/snn/network/build", {
  namespace,
  spec: {
    label: "market-input-example", seed: 42,
    ensembles: { input: { n_neurons: 100, dimensions: 1, radius: 1.0 } },
    connections: [],
  },
});
const identity = {
  network_id: network.network_id,
  namespace: network.namespace,
  version: network.version,
};
await post("/v1/snn/network/compile", identity);
const { output } = await post("/v1/snn/network/step", {
  ...identity, input: [0.5], // Replace with your encoded input.
});

// Assumes a registered resources table with both timestamp columns.
const { rows } = await post("/v1/analytics/sql", {
  sql: "SELECT title, published_at, known_at FROM resources " +
    "WHERE published_at <= '2026-03-15' AND known_at <= '2026-03-15' LIMIT 10",
});