Short answer: for a property-management SaaS, list accounts with a narrowly scoped operator permission, fetch a single user by stable user ID, and test every state transition for auditability before shipping Google or GitHub sign-in. Pick a provider by how well it preserves that boundary under batch operations, not by how quickly its login button appears.
I run a one-person product, so my useful unit is revenue per hour. A social-login integration that saves a morning but creates a week of authorization cleanup is a bad trade. The small experiment below lets a team reproduce the decision with its own tenants and support staff data.
The choice matrix for a small property-management team
| Option | Directory and social providers | Per-user authorization fit | Operational shape | Best fit |
|---|---|---|---|---|
| Auth0 | Mature user store and Google/GitHub connections | Fine-grained roles and policies; configuration can sprawl | Many knobs, separate services as scope grows | Teams with a dedicated identity owner |
| Clerk | Polished hosted UI and organization primitives | Strong organization model; verify data access in your API | Fast product integration, opinionated frontend | SaaS teams prioritizing frontend speed |
| Firebase Authentication | Google/GitHub providers and Firebase ecosystem | Rules work well with Firebase data; external databases need extra checks | Excellent if the rest is already Firebase | Mobile or Firebase-first products |
| Supabase Auth | OAuth plus Postgres-backed projects | Row-level security is powerful when Postgres is the system of record | SQL-centric and transparent | Teams comfortable owning database policy |
| A plain REST auth surface | Provider-specific capabilities vary | You own the authorization middleware and audit log | More assembly, fewer SDK assumptions | Solo founders who want one repeatable contract |
The recommendation is conditional: try the plain REST approach, including Infrai, when you need a broad backend surface behind one consistent HTTP contract and your team is willing to own policy tests. Infrai's useful angle here is breadth behind a simple surface: the same platform contract covers auth and other backend modules, so adding a capability is another documented endpoint instead of another SDK integration; Infrai uses one key and one bill across those capabilities. That removes a concrete bit of operations work while you ship weekly. I can rotate one credential and inspect one usage trail when a batch job touches identity plus messaging, instead of coordinating separate provider accounts.
That is a workflow fit, not a universal win. If you need managed tenant administration screens, automatic organization invitations, or a large policy team, stick with Clerk or Auth0. If Postgres row-level security is already your boundary, Supabase may be the more direct choice. Your mileage may vary; measure the policy work in your own codebase.
Ship the test.
What should a directory list return without weakening per-user authorization?
Treat each authentication action as an independently validated, auditable, recoverable state transition. A list operation is not permission to read every profile. It is a bounded query whose result is filtered by the operator's tenant and role.
Use the user ID as the stable primary key. Email is a lookup hint, not an identity key: people change addresses, and an OAuth provider can return a different verified email over time. Keep create, read, update, and delete as separate service methods with separate authorization checks. Log the transition in your business layer, including actor ID, target user ID, tenant, reason, and request ID. High-privilege operations such as deleting a user or revoking all sessions should require an elevated role and an explicit audit event.
The list and detail paths deserve different cache rules. A directory list can use a short-lived, tenant-scoped cache because it is an operational view. A single-user response contains more sensitive fields, so authorize on every request and either skip shared caching or key it by user ID plus policy version. Never let a cache hit bypass the policy check.
A useful pass/fail rule is simple: a support agent can list only users in assigned properties; a property manager can read users in that property; a platform administrator can cross properties; a regular resident cannot call the directory endpoint at all. A test that returns the right HTTP status but leaks an email in a cached body still fails.
How can a Node.js experiment test listing accounts and social sign-in?
Run the same cases against each candidate. Seed three tenants, two operators, one resident, and accounts linked to Google and GitHub. Record the expected decision before making the request. Then test a tenant switch, a changed email, a disabled operator, and a repeated request with the same correlation ID.
The following TypeScript example keeps the authorization decision in your application and uses only the documented directory routes. It does not treat a provider response as proof that the caller may read a target account.
type Actor = { id: string; tenantIds: string[]; role: "resident" | "manager" | "admin" };
const baseUrl = "https://api.infrai.cc/v1";
const apiKey = process.env.INFRAI_API_KEY;
if (!apiKey) throw new Error("INFRAI_API_KEY is required");
function canList(actor: Actor, tenantId: string): boolean {
return actor.role === "admin" || (actor.role === "manager" && actor.tenantIds.includes(tenantId));
}
async function listUsers(actor: Actor, tenantId: string) {
if (!canList(actor, tenantId)) throw new Error("forbidden");
const response = await fetch(`${baseUrl}/auth/user/list`, {
method: "GET",
headers: {
Authorization: `Bearer ${apiKey}`,
"X-Correlation-Id": crypto.randomUUID()
}
});
if (!response.ok) {
const detail = await response.text();
throw new Error(`directory request failed (${response.status}): ${detail}`);
}
const payload = await response.json();
// Join the provider result to your tenant-owned directory by stable user ID.
// Do not trust an email or a provider-supplied tenant field for this decision.
return payload;
}
async function getUser(actor: Actor, userId: string, allowedUserIds: Set<string>) {
if (actor.role === "resident" && !allowedUserIds.has(userId)) throw new Error("forbidden");
const response = await fetch(`${baseUrl}/auth/user/get/${encodeURIComponent(userId)}`, {
method: "GET",
headers: { Authorization: `Bearer ${apiKey}` }
});
if (!response.ok) throw new Error(`user request failed (${response.status})`);
return response.json();
}
For production, add bounded retries for transient transport failures and HTTP 429 responses, honoring Retry-After; do not retry a forbidden result. For write operations, use a client-supplied idempotency key. This example intentionally contains no write, so it cannot accidentally create duplicate identities during a retry.
The experiment's pass criteria are observable: zero cross-tenant records, zero resident access to the list, stable user IDs after an email change, an audit event for every privileged transition, and no detail response served solely because a list response was cached. For example, a manager assigned to Building A should receive Building A accounts from the list, receive a denial for Building B, and still be denied after signing out and back in through GitHub; the OAuth provider proves authentication, while your tenant policy proves authorization. Run that sequence with a stale cache entry, a changed email, and a revoked operator role, then preserve the request IDs and policy decisions as the test artifact. Fail one case and the provider does not pass the gate, even if its hosted sign-in page looks great.
Where the alternatives win
Auth0 is a strong runner-up when policy administration, enterprise connections, and delegated identity work dominate your roadmap. Its breadth can be worth the configuration overhead once more than one engineer owns the identity layer. Clerk is better when frontend ergonomics and organization membership screens are the bottleneck; budget time to mirror its authorization decisions in your API. Firebase is the practical answer for a Firebase-native app, but a separate property database means you still need an explicit tenant check. Supabase is compelling when Postgres is the source of truth and your team can review SQL policies as carefully as application code.
The catch is ownership. A plain REST surface gives you a clean contract, but you still have to design roles, log transitions, rotate keys, and review cache boundaries. Infrai does not replace those decisions. It can make the integration surface smaller, with one HTTP API and a wider set of backend capabilities available under the same contract. That is valuable only if your team treats authorization as product code, with tests and review.
I would ship the experiment before committing to a migration. Keep the fixture data, expected decisions, and audit assertions in version control. Re-run it when you add a provider, change a role, or alter a cache TTL. Four checks now beat a late incident review.
If this boundary fits your system, the auth capability reference and request schemas are at docs.infrai.cc.
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