Reaching Federal Bank FedCorp business banking data from your own systems

Every payout a business makes through Federal Bank's corporate channel — IMPS, NEFT, RTGS, intra-bank and UPI — passes through a maker-checker queue before it settles, and each entity's account statement sits behind a device-bound login. That is the surface an integrator actually wants: not a marketing feed, but the per-entity transaction ledger, the beneficiary book, the scheduled-payment list and the approval state of every pending instruction. FedCorp (package com.corporatefedmobile, per its Google Play and App Store listings) is Federal Bank's mobile channel for businesses banking under Sole Proprietorship, Partnership, Private and Public Limited, Society, Trust, Association and HUF accounts.

This page is written for a team that wants those records inside their own treasury, ERP or reconciliation stack. The lead deliverable here is a language client — a Python, Node.js or Go SDK — that authenticates against FedCorp the way the app does, then returns statements and transfer status as normalized objects your code can call on a schedule. Two routes feed that client: the RBI Account Aggregator flow for consented financial-data reads, and authorized interface integration for the operational surfaces the app exposes once a session is open.

The bottom line is plain. Reads of balances and statements belong in the Account Aggregator lane, where a consent artifact scopes them and Federal Bank serves as the data provider. Everything operational — moving money, managing payees, watching an approval clear — comes from the app's own authenticated traffic, captured and reconstructed under your authorization. We would run both and hand you one client that hides the seam.

What FedCorp holds, and where each piece lives

These rows track the app's real screens, not a generic banking checklist. Granularity is what the channel actually exposes to a logged-in business user.

Authorized routes into the data

Four routes apply to FedCorp. Each is described by what it reaches, how much work it is, how long it lasts, and what we set up to run it — access and onboarding are arranged with you during the engagement, not handed back as homework.

1. RBI Account Aggregator (consented read)

The regulated lane for financial data. Federal Bank participates as a Financial Information Provider; a consent artifact, managed by a licensed NBFC-Account Aggregator, defines which accounts, which data, for what purpose and for how long. Reaches balances and statement data for consenting accounts. Durable, because it rides the regulatory framework rather than the app build. We handle the Financial Information User onboarding and the consent flow with you.

2. Authorized interface integration

The route for everything the app shows once a business user is in: transfers, beneficiaries, scheduled instructions, the maker-checker queue. We capture FedCorp's app-to-backend traffic on a consenting account, reconstruct the authentication chain (device binding, MPIN, session token) and the endpoint shapes, and wrap them in the client. Reaches the full operational surface. Effort is higher, and the client tracks app releases — we re-validate the surface when Federal Bank ships a new version.

3. NPCI rail integration

For programmatic outbound payments and collections, UPI and IMPS are standardized across banks by NPCI and run through a sponsor-bank or licensed PSP arrangement. Reaches push payments and VPA collections. We design the rail leg to NPCI's idempotency expectation so retries are safe.

4. Native export (fallback)

FedCorp can download and email a statement. Where a live read is not yet wired, we parse that export into the same normalized records the client produces. Low effort, batch only, useful as a bridge.

For most engagements the practical spine is route 2 for the operational surfaces, with route 1 layered in wherever a consenting account would rather have its statement read come through a regulated consent than through reconstructed traffic. Native export covers the gap on day one while the live surface is wired.

What the build hands over

The headline is code that runs, not paperwork. In order of what you touch first:

• A language client (Python, Node.js or Go) wrapping FedCorp's authenticated surfaces — statement pull, transfer initiation, beneficiary read, maker-checker status — each returning a normalized object.
• Ingestion plumbing: a poller or callback handler that watches payment status and approval-state changes, plus a sync design that separates the first full backfill from incremental delta runs.
• An automated test suite (pytest or jest) exercising the client against a sponsor sandbox or a consenting account, so a changed field shows up at build time rather than in your reconciliation.
• Transfer safety: every initiation carries a caller-supplied reference, so resending the same reference returns the original instruction instead of issuing a second payout.
• Secondary, but included: an OpenAPI/Swagger description of the reconstructed surface, an auth-flow report covering the device-binding and token chain, written interface documentation, and a short note on data retention and consent logging.

How a call looks in code

Illustrative of the SDK we ship — field names are confirmed against the live surface during the build, not guessed here.

from fedcorp import FedCorpClient   # generated for your stack during the build

client = FedCorpClient(
    entity_crn=ENTITY_CRN,          # corporate relationship id, per the consenting account
    device_token=DEVICE_TOKEN,      # bound at enrolment; lifecycle handled by the client
)
client.authenticate(mpin=MPIN)      # opens a device-bound session

# Pull a corporate statement: delta since the last cursor, or a full backfill
stmt = client.statements.list(
    account="XXXXXX1234",
    since="2026-05-01",
    cursor=last_cursor,             # omit on first run for a full backfill
)
for txn in stmt.transactions:
    print(txn.value_date, txn.rail, txn.amount, txn.narration, txn.ref)

# Queue an IMPS payout into the maker-checker flow
draft = client.transfers.create(
    rail="IMPS",
    debit_account="XXXXXX1234",
    beneficiary=payee_id,
    amount="50000.00",
    client_ref="INV-2026-0481",     # resend-safe: same ref returns the same instruction
)
assert draft.state == "PENDING_CHECKER"   # it does not auto-post

try:
    status = client.transfers.get(draft.id)
except FedCorpAuthExpired:
    client.authenticate(mpin=MPIN)         # re-open the session, then retry

Normalized records the client returns

The client flattens FedCorp's screen data into stable shapes, so your code never parses a bank response directly. Two examples:

// statement transaction
{
  "value_date": "2026-05-14",
  "rail": "NEFT",
  "direction": "debit",
  "amount": "125000.00",
  "currency": "INR",
  "narration": "VENDOR PAYOUT MAY",
  "ref": "N2026051400481",
  "balance_after": "842300.50"
}

// transfer status
{
  "client_ref": "INV-2026-0481",
  "rail": "IMPS",
  "amount": "50000.00",
  "state": "PENDING_CHECKER",
  "maker": "ops.user@firm",
  "checker": null,
  "updated_at": "2026-06-08T09:42:00+05:30"
}

Details the build has to get right

FedCorp has a few specifics that decide whether an integration behaves. These are things we account for, not boxes you have to tick first.

Maker and checker are two actors

A corporate instruction is created by a maker and released by a checker. We model those as distinct authenticated roles so a programmatic submission lands in the checker queue in a pending state and mirrors the bank's approval state machine — it never silently auto-posts. Your own approval logic, or a second authorized session, clears it.

Entitlements differ by entity type

Eligibility and the external-user model are not uniform across a Sole Proprietorship, a Partnership, a Private Limited company, a Society, a Trust or an HUF. We map entitlements per entity type so approval rules and added-user permissions resolve correctly rather than assuming one shape for every customer.

Sessions are device-bound

FedCorp ties a session to an enrolled device and an MPIN. We handle the device-token lifecycle and re-enrolment inside the client, working against a consenting account arranged with you during onboarding, so the session management is part of what we deliver instead of something you reverse on your own.

Consent and the rules that apply in India

This is an Indian banking integration, so the framing is RBI and NPCI, not a European or US scheme. Consented reads sit under the RBI's Master Direction for NBFC-Account Aggregators (2016, as amended), where a consent artifact names the data, purpose, duration and revocation terms, and the consumer can withdraw at any time. Sahamati, recognized by the RBI as the ecosystem's self-regulatory organization, coordinates the AA participants. We keep our work authorized, logged and data-minimized: only the fields an integration needs, retained only as long as agreed, under an NDA where the client wants one.

Personal data handling falls under India's Digital Personal Data Protection Act, 2023, whose rules were notified in November 2025 with a phased rollout; consent and purpose limitation are the operative ideas, and the client is built to carry only what a stated purpose justifies. On the payment side, NPCI requires idempotent behaviour on its rails, which is why transfer calls are keyed on a caller reference. None of this is a precondition we hand you — it is how the desk operates.

Screens we worked from

The app's published screenshots, useful for confirming which surfaces a build targets. Select to enlarge.

Where FedCorp sits among Indian business banking apps

A unified integration usually has to cover more than one bank. These same-category apps hold comparable server-side records, named here for context, not ranked.

• ICICI InstaBIZ — business banking for ICICI and non-ICICI account holders, with payments, collections and current-account servicing.
• SBI YONO Business — corporate internet-banking app with maker, authorizer and enquirer roles for payments and account management.
• ICICI iMobile Pay — UPI and account banking spanning ICICI and other-bank accounts.
• HDFC Bank MobileBanking — retail and business transactions including transfers, statements and bill payments.
• Kotak business banking — payments, bulk transfers and account servicing for current-account customers.
• Axis Mobile — fund transfers, bill payments and UPI for account holders.
• IndusInd IndusMobile — account access, transfers and card servicing.
• IDFC FIRST business banking — digital current-account servicing and transfers.

Questions integrators ask about FedCorp

Can FedCorp statements be pulled incrementally, or is it a full file every time?

Both. The first load is a full backfill; after that the client pulls a delta using a date or cursor since the last successful sync, so routine runs move only new transactions. Where a consenting account prefers it, the emailed or downloaded statement is parsed into the same normalized records as a fallback.

Does a payment initiated through the client skip the maker-checker approval?

No. A programmatic initiation lands in the checker queue in a pending state, exactly as it would from the app. The client mirrors the bank's approval state machine, so a second authorized role — or your own approval logic backed by a checker session — clears it before the rail moves money.

Which language do you ship the FedCorp client in?

Python, Node.js, or Go — you pick one as the primary, and a thin equivalent in another language can be generated on request. Each ships with an automated test suite that runs against a sponsor sandbox or a consenting account arranged during the engagement.

What is the authorized route for reading Federal Bank balances versus moving money?

Consented financial-data reads fit the RBI Account Aggregator flow, where Federal Bank acts as the Financial Information Provider and a consent artifact scopes exactly what is shared. The operational surfaces — transfers, beneficiaries, scheduled instructions and the maker-checker queue — are reached through authorized interface integration against the app's own traffic, with NPCI's UPI and IMPS rails handling the outbound legs.

What we checked, and where it came from

We worked from Federal Bank's own corporate-channel description, the app's store listings, and the primary references for India's data-sharing and payment rails. Reviewed in June 2026; figures such as the package identifier are taken from the store listings, and the regulatory points from the sources below.

• Federal Bank — Corporate FedMobile feature page
• Google Play — Federal Bank - FedCorp listing
• Department of Financial Services — Account Aggregator framework
• MeitY — Digital Personal Data Protection Act, 2023 (text)

These notes were drafted by OpenFinance Lab's integration engineering team, June 2026.

A working FedCorp client — authenticated, tested, and returning normalized statement and transfer objects — usually takes one to two weeks. Settlement works whichever way suits you: source-code delivery from $300, paid only after the code lands and you have run it yourself; or our hosted endpoints, billed per call with nothing upfront. Send the entity type and the surfaces you care about to /contact.html and we will scope the build. Start a FedCorp integration