API to Validate Routing Number 026073150

You need to confirm whether ABA routing number 026073150 is valid and belongs to the intended bank before you move money over ACH. By the end of this article, you will be able to programmatically validate 026073150 against authoritative reference data, read the returned bank name and branch details, and plug the result into onboarding, payout, or back-office verification flows using a single POST request.

What you validate when you check routing number 026073150

Routing number 026073150 is a 9-digit ABA number used for U.S. domestic payments. When you validate it with BankDataStack, you get both a format-and-checksum assessment and an authoritative lookup of the bank record that owns the number. That means you can do more than just confirm the digits are well-formed—you can verify the institution name, location, branch type, and whether the routing is active for ACH.

For 026073150, the reference data contains the following key attributes you can rely on downstream:

• Bank/institution name and branch type, to display to users for confirmation and to power risk rules.
• City, state, and ZIP, for cross-checking against user-provided addresses and detecting mismatches.
• Payment rail support (ACH in this case), so you know whether to accept, reject, or fall back to a different rail.
• Active status and last updated date, to ensure the record is not retired or stale.

BankDataStack provides this as structured JSON over REST. You can get started quickly via the Register page and a 7-day trial on the Starter plan ($49.99/mo). General product and company details are available at bankdatastack.com.

Endpoint and request model

Use a single HTTP call:

• Method: POST
• URL: https://www.bankdatastack.com/api/v1/routing/validate
• Headers: X-API-Key and Content-Type: application/json
• JSON body: routing_number, payment_type (e.g., ach)

This endpoint returns a normalized view of the bank that owns the routing number, whether it is active, and the fields required to render a clean confirmation message in your UI and to power automated checks in your orchestration layer.

Copy-paste cURL to validate 026073150

The following is a complete, working example you can run as-is (substitute YOUR_API_KEY with your actual key). It is the definitive one to reference in your environment for 026073150 over ACH.

curl -X POST "https://www.bankdatastack.com/api/v1/routing/validate" -H "X-API-Key: YOUR_API_KEY" -H "Content-Type: application/json" -d '{"routing_number":"026073150","payment_type":"ach"}'

Official response you should expect for 026073150

If the routing number is valid and present in the dataset, you will receive a success response like the following. You can design your code to read these fields directly to power both user-facing confirmations and automated validations.

{
    "status": "success",
    "data": {
        "routingNumber": "026073150",
        "paymentType": "ach",
        "name": "Community Federal Savings Bank",
        "addressFull": "New York, NY",
        "street": "SUITE 1115",
        "city": "New York",
        "state": "NY",
        "zip": "10019",
        "type": "Main Office",
        "phone": "212-897-9650",
        "active": true,
        "lastUpdated": "2026-08-31",
        "address": "SUITE 1115"
    }
}

How to use these fields in your flow:

• routingNumber and paymentType: echo back to the user on a confirmation screen and log alongside the mandate or transfer instruction.
• name, city, state, zip, type: display to users so they can visually confirm you have the right bank; also feed into QA/review queues when the user-provided institution name or address disagrees with the reference record.
• active: block payouts if false, and prompt for a new routing number.
• lastUpdated: use for cache invalidation and to decide when to refresh locally stored results.
• phone: present to operations staff in internal tools for manual follow-ups or callbacks where policy allows.

Python example: validate, branch on active, and render a user-facing label

This Python snippet calls the same endpoint as above, checks the active flag, builds a clean bank label for display, and shows how you might log the values you care about when creating an ACH payee or initiating a payout.

import json
import os
import sys
import urllib.request

API_KEY = os.getenv("BANKDATASTACK_API_KEY", "YOUR_API_KEY")
URL = "https://www.bankdatastack.com/api/v1/routing/validate"

payload = {
"routing_number": "026073150",
"payment_type": "ach"
}
data = json.dumps(payload).encode("utf-8")

req = urllib.request.Request(URL, data=data, method="POST")
req.add_header("X-API-Key", API_KEY)
req.add_header("Content-Type", "application/json")

try:
with urllib.request.urlopen(req, timeout=10) as resp:
body = resp.read().decode("utf-8")
result = json.loads(body)
except Exception as e:
print(f"Routing validation error: {e}", file=sys.stderr)
sys.exit(1)

if result.get("status") != "success" or "data" not in result:
print("Routing number not confirmed; block ACH until resolved")
sys.exit(2)

bank = result["data"]
if not bank.get("active", False):
print("Routing is inactive for ACH; prompt for a new routing number")
sys.exit(3)

label = f'{bank.get("name","")} — {bank.get("city","")}, {bank.get("state","")}'
print("Validated routing:", bank.get("routingNumber"))
print("ACH supported:", bank.get("paymentType") == "ach")
print("Bank label:", label)
print("Branch type:", bank.get("type",""))
print("Support phone:", bank.get("phone",""))
print("Last updated:", bank.get("lastUpdated",""))

In an onboarding flow, you would persist the routingNumber, paymentType, name, city, state, type, active, and lastUpdated alongside your payee record. In a payment flow, you can re-check the cache and only call the API again when your TTL expires or when the lastUpdated in your store is older than the value BankDataStack returns.

Integrating validation into onboarding and payment flows

Onboarding (collecting bank details)

• Step 1: The user enters a routing number and account number. You immediately call the routing validation API in the background.
• Step 2: Show a non-blocking confirmation banner: “Routing 026073150 — Community Federal Savings Bank (New York, NY).” If the city/state do not match the address the user entered for their bank, you can trigger a gentle warning or a manual review rule.
• Step 3: Store the definitive reference fields (routingNumber, name, city, state, zip, type, active, lastUpdated) with the payee profile.
• Step 4: If active is false, block progression until the user corrects the routing number.

Payment initiation (ACH payouts/collections)

• Step 1: Before sending an ACH file or API instruction, ensure the cached validation is fresh. If your cache is older than your TTL or you detect a data mismatch, re-validate.
• Step 2: Confirm paymentType includes ach and active is true.
• Step 3: Log the reference bank label and phone for the specific payout for future reconciliation or investigations.

ABA routing numbers: format and checksum at a glance

ABA routing numbers are always 9 digits. A basic format check is necessary but not sufficient; proper validation requires the checksum. The checksum uses a weighted sum with weights 3, 7, and 1 applied in repeating order across the first eight digits, plus the ninth check digit that makes the total a multiple of 10. If the checksum fails, the number cannot be a valid ABA routing number for any bank. After a checksum pass, authoritatively linking the number to a bank record (as this API does) lets you verify ownership, location, and payment rail capabilities.

“Not found” and error handling: what it means and how to respond

In a “not found” scenario, the routing number either fails checksum/format validation or does not map to an active bank record for the requested payment_type. Treat this as a hard block for payouts and prompt the user to re-enter the routing number. For onboarding, you can combine a retry with contextual guidance—e.g., “Please check the 9-digit ABA routing on your check or bank portal.”

In partial-error scenarios (network or timeout), implement retries with exponential backoff, and default to a safe deny for irreversible payments. Ensure you log the request body, the status code, and any response payload for operational analysis.

Caching strategy and data freshness

Reference data changes infrequently, but you should cache results for performance and resilience. Practical guidance:

• Cache key: routingNumber + paymentType.
• Cache value: JSON object with the core fields (name, addressFull, city, state, zip, type, phone, active, lastUpdated).
• TTL: a few days to a few weeks depending on your risk tolerance and traffic; always refresh if the provider’s lastUpdated is newer than your stored value.
• Operational cache invalidation: if a user claims a mismatch (e.g., they expected a different bank), trigger an immediate re-validate to confirm the latest record.

Comparing common payment identifiers you’ll see in practice

Developers working across regions often need to support more than one identifier. This table summarizes the key differences you’ll encounter across routing numbers, IBANs, SWIFT/BIC, and card BINs—useful when designing multi-rail, multi-region validation steps. Note: the example values mirror widely used formats; the USA does not use IBAN for domestic transfers.

If you also need to validate IBANs, SWIFT/BICs, or BINs, the same validation pattern applies conceptually: send the identifier to the relevant validation route and evaluate the normalized JSON for ownership, location, and status. Reference the Documentation for details on each identifier type. You can explore the product capabilities at bankdatastack.com.

Security and data handling notes

• Never store full card PANs in your routing validation service or logs. A BIN is only the first 6–8 digits and is not a substitute for whole-card storage controls.
• Encrypt secrets and never commit the X-API-Key. Use environment variables and secret managers for deployment.
• Log only what you need for reconciliation (routingNumber, bank label, active flag). Redact account numbers from request logs by default.
• Treat timeouts and errors conservatively for irreversible payouts: deny or queue for retry with backoff.

Putting 026073150 into production checks

As a concrete policy example you can implement today for ACH payouts:

• At account creation, call routing validate for 026073150 and store the returned bank profile with a created_at timestamp.
• Before each payout, check that stored profile.active is true and less than your recency threshold (e.g., 30 days). If stale, refresh.
• If the user’s self-declared bank name does not match “Community Federal Savings Bank” after normalization, require a micro-deposit verification or manual approval.
• Display “Community Federal Savings Bank — New York, NY (ACH)” to the user for final confirmation, updating your audit trail.

Testing and observability

To ensure reliability in CI/CD and staging, front your integration with a lightweight abstraction that emits structured logs on every validation call:

• Inputs: routing_number, payment_type, correlation_id.
• Outputs: status, active, name, city/state, lastUpdated, latency_ms, cache_hit.
• Alerts: page when the error rate for validations exceeds a threshold or average latency spikes above your SLO.

Where possible, record the response’s lastUpdated to dashboards so you can detect when major refreshes occur and proactively re-validate critical payees.

Common pitfalls to avoid

• Assuming a checksum pass equals bank ownership: you still need the authoritative lookup to know which bank the number belongs to and whether it’s active for ACH.
• Skipping re-validation for long-lived accounts: routing records can change over time; use lastUpdated and your TTL to refresh.
• Mixing rails: ensure payment_type is appropriate for the instruction (ach vs. other rails) and that the active flag is true for that rail.
• Leaking secrets: never log your X-API-Key; restrict usage via environment variables and per-environment keys.

FAQ

Q: Is 026073150 valid for ACH payments?
A: Yes. The validation response confirms paymentType is “ach” and active is true for 026073150, owned by Community Federal Savings Bank, New York, NY.

Q: What does a “not found” response mean?
A: Either the routing number failed checksum/format validation or it does not map to an active record for the requested payment_type. Treat this as a hard block and prompt the user to re-enter the routing number.

Q: How often should I re-validate cached routing data?
A: Cache for days to weeks based on your risk tolerance. Always re-validate if your cached data appears older than the provider’s lastUpdated or before high-value payouts.

Q: Can I validate other identifiers (IBAN, SWIFT/BIC, BIN) with the same approach?
A: Yes. The validation pattern is the same: POST the identifier to the respective validation route and evaluate the normalized JSON. See the Documentation for supported fields.

Q: Do I need to store the entire response?
A: Store the fields you use operationally (routingNumber, name, city, state, type, active, lastUpdated). Avoid persisting unnecessary PII and keep a short TTL with periodic refreshes.

Ready to ship routing validation for 026073150 and beyond? Create your API key with a 7-day trial on the Starter plan ($49.99/mo) and integrate the single POST call in minutes: Register. For implementation details and field references, see the Documentation.