Pagination

All three v1 endpoints are cursor-paginated. There are no page numbers and no total count.

Parameters

A limit above the maximum is clamped rather than rejected; below 1 it falls back to the default.

The terminator

Each response carries nextCursor:

• a string — there is another page; pass it as cursor on the next request,
• `null` — you have reached the end. Stop.

Do not stop on a short page. A page can come back smaller than your limit and still have a successor; nextCursor: null is the only end signal.

Ordering

Rows are ordered `createdAt` descending, then `id` descending. The id tiebreak matters: without it, rows sharing a timestamp — as a bulk import produces — could be skipped or repeated across a page boundary. With it, paging is stable.

Newest first also means new rows appear at the start of the sequence, so a long paging run will not see records created while it is running. For a recurring sync, page until nextCursor is null, then start again from the top next time and stop when you reach records you already have.

Malformed cursors

A cursor that is not a UUID is ignored, not rejected: the request is served as if no cursor were supplied — the first page. It does not error.

That means a typo silently restarts your loop rather than failing loudly. If your sync seems to re-read the first page forever, check that you are passing nextCursor through verbatim.

Fetch every page

const BASE = "https://app.evoriqa.com/api/v1";

async function* allLeads() {
  let cursor = null;
  do {
    const url = new URL(`${BASE}/leads`);
    url.searchParams.set("limit", "200");
    if (cursor) url.searchParams.set("cursor", cursor);

    const res = await fetch(url, {
      headers: { Authorization: `Bearer ${process.env.EVORIQA_API_KEY}` },
    });
    const body = await res.json();
    if (!body.success) throw new Error(body.error.code);

    yield* body.data.data;
    cursor = body.data.nextCursor;
  } while (cursor !== null);
}

let count = 0;
for await (const lead of allLeads()) count += 1;
console.log(`${count} leads`);

import os, requests

BASE = "https://app.evoriqa.com/api/v1"
HEADERS = {"Authorization": f"Bearer {os.environ['EVORIQA_API_KEY']}"}


def all_leads():
    cursor = None
    while True:
        params = {"limit": 200}
        if cursor:
            params["cursor"] = cursor

        res = requests.get(f"{BASE}/leads", headers=HEADERS,
                           params=params, timeout=30)
        body = res.json()
        if not body["success"]:
            raise RuntimeError(body["error"]["code"])

        yield from body["data"]["data"]

        cursor = body["data"]["nextCursor"]
        if cursor is None:
            return


print(sum(1 for _ in all_leads()))

At 200 rows per page you will reach the per-minute rate limit after 120 pages — 24,000 rows. Handle RATE_LIMITED with a backoff inside the loop for larger datasets.

Where to go next

• Rate limits
• Response envelope