LEVRG / Modern Treasury

Asset bulk funding with Modern Treasury.

C#/.NET API caller library — later ported to Python/Django — that drives Ledger Transactions, Payment Orders, and Expected Payments for Home Equity Agreement asset funding batches.

Batch · BATCH-20260222

$3,604,400

17 assets funded · 02/22/2026

Assets in batch

17 funded · 3 pending

Wire destination

Title Co.

XYZ Title Co. · ACH wire

API library

Python

ported from C#/.NET · Django

Asset funding flow

Origination pipeline → MT Bulk Funding tool → portfolio

Origination

HEA agreement signed
Asset ID generated
Terms captured in PO

→

Bulk Funding Tool

Aggregate 17 funded assets
Create 3 MT accounts/asset
Build LT + Payment Order

→

MT Ledger Transaction

DR HEA Portfolio
CR Cash — Funding
Balanced double-entry

→

Payment Order

Wire aggregate to
XYZ Title Co.
$3,604,400

→

Asset Portfolio

17 assets · $3,604,400
Expected Payments
created per fee

Asset portfolio · BATCH-20260222

20 HEA assets · 17 funded · $3,604,400 aggregate

02/22/2026

#	Asset ID	City	Amount	Funding Date	Status
01	714937485928108394 ◂	Phoenix, AZ	$285,000	02/22/2026	funded
02	293847561029384756	Denver, CO	$127,500	02/22/2026	funded
03	847291038475629104	Austin, TX	$392,000	02/22/2026	funded
04	194837265047382910	Nashville, TN	$73,200	02/22/2026	funded
05	563920184756291038	Charlotte, NC	$218,000	02/22/2026	funded
06	729104856392018475	Portland, OR	$155,600	—	pending
07	384756291048372910	Seattle, WA	$427,000	02/22/2026	funded
08	102938475629104837	Minneapolis, MN	$88,400	02/22/2026	funded
09	475629104857392018	Tampa, FL	$312,000	02/22/2026	funded
10	618473920184756293	Columbus, OH	$50,000	02/22/2026	funded
11	937485629104857391	Atlanta, GA	$196,500	—	pending
12	284756391048273920	San Antonio, TX	$344,000	02/22/2026	funded
13	103948576291048372	Las Vegas, NV	$261,800	02/22/2026	funded
14	849201738465920173	Baltimore, MD	$109,000	02/22/2026	funded
15	376291048574839201	Indianapolis, IN	$67,500	02/22/2026	funded
16	502918374659201847	Sacramento, CA	$183,000	02/22/2026	funded
17	738465920173849201	Raleigh, NC	$405,000	02/22/2026	funded
18	291048372948576391	Richmond, VA	$234,500	—	pending
19	648392018475629104	Kansas City, MO	$92,800	02/22/2026	funded
20	185739204756391048	Salt Lake City, UT	$168,200	02/22/2026	funded
17 funded assets total			$3,604,400

Asset Detail

714937485928108394

The following sections trace this single asset through account creation, ledger recording, bulk payment order, and fee reconciliation via Expected Payments.

MT Ledger Accounts · 714937485928108394

3 accounts created · one per line item

Investment Payment

ID: 8834927610294857

normal_balance: debit · line_item: investment_payment

$285,000

↑ debit-normal

Origination Fees

ID: 3948271059274816

normal_balance: credit · line_item: origination_fees

$2,850

↑ credit-normal

Appraisal / Concessions

ID: 5610294857384920

normal_balance: credit · line_item: appraisal_concessions

$1,500

↑ credit-normal

MT Ledger hierarchy

FUNDING DATES → date → asset → line items

FUNDING DATES

02/22/2026

714937485928108394

Investment Payment

$285,000

Origination Fees

$2,850

Appraisal Fees(gross)

$3,500

Concessions−$2,000 coupon

−$2,000

Net appraisal EP$1,500

Python · create ledger accounts per asset

modern-treasury SDK · Django view layer

Step 1 of 3

# Django · Step 1 — create 3 MT LedgerAccounts under asset 714937485928108394
def create_asset_funding_accounts(client, asset_id: str, ledger_id: str) -> dict:
    line_items = [
        ("investment_payment",    "debit",  "Investment Payment"),
        ("origination_fees",      "credit", "Origination Fees"),
        ("appraisal_concessions", "credit", "Appraisal / Concessions"),
    ]
    accounts = {}
    for key, normal, label in line_items:
        acct = client.ledger_accounts.create(
            name=f"{asset_id} · {label}",
            currency="USD",
            ledger_id=ledger_id,
            normal_balance=normal,
            metadata={
                "asset_id":     asset_id,
                "funding_date": "2026-02-22",
                "line_item":    key,
                "batch_id":     "BATCH-20260222",
            },
        )
        accounts[key] = acct.id
    return accounts

# Returns:
# {
#   "investment_payment":    "8834927610294857",
#   "origination_fees":      "3948271059274816",
#   "appraisal_concessions": "5610294857384920",
# }

MT API · Ledger Transaction + Payment Order JSON

aggregate $3,604,400 · 17 assets · wire to title company

Step 2 of 3

POST /api/v1/ledger_transactions

{
  "description": "Bulk Funding · BATCH-20260222 · 17 assets",
  "effective_date": "2026-02-22",
  "status": "pending",
  "metadata": {
    "batch_id":    "BATCH-20260222",
    "asset_count": "17",
    "total_cents": "360440000"
  },
  "ledger_entries": [
    {
      "ledger_account_id": "HEA_PORTFOLIO_ACCOUNT_ID",
      "amount":    360440000,
      "direction": "debit"
    },
    {
      "ledger_account_id": "CASH_FUNDING_ACCOUNT_ID",
      "amount":    360440000,
      "direction": "credit"
    }
  ]
}

POST /api/v1/payment_orders

{
  "amount":    360440000,
  "direction": "credit",
  "type":      "wire",
  "originating_account_id": "CASH_FUNDING_ACCOUNT_ID",
  "receiving_account": {
    "name":           "XYZ Title Co.",
    "routing_number": "021000021",
    "account_number": "4829103847652910",
    "account_type":   "checking"
  },
  "metadata": {
    "batch_id":      "BATCH-20260222",
    "asset_count":   "17",
    "memo":          "HEA Bulk Funding 02/22/2026"
  }
}

Payment Order

aggregate wire · XYZ Title Co.

Amount$3,604,400

Directioncredit (outbound)

Typewire

RecipientXYZ Title Co.

Routing021000021

Account4829103847652910

BatchBATCH-20260222

Asset count17

INVESTMENT PAYMENT ONLY

This wire covers investment principal only. Origination and appraisal fees are tracked separately as Expected Payments and reconciled when received.

Fee breakdown · 714937485928108394

investment + fees + $2K concession coupon

Line Item	Gross	Adj.	Net
Investment Payment	$285,000	—	$285,000
Origination Fee	$2,850	—	$2,850
Appraisal Fee	$3,500	−$2,000	$1,500
Concession (coupon)	—	−$2,000	−$2,000

The $2,000 concession is applied against the appraisal fee — effectively a coupon reducing what the fund owes. Both fees return as Expected Payments. Only the investment payment is wired outbound via Payment Order.

Expected Payments · fee reconciliation

origination fee + net appraisal · MT auto-match on receipt

Step 3 of 3

# Expected Payment 1 — origination fee
ep_orig = client.expected_payments.create(
    internal_account_id=FEE_COLLECTION_ACCOUNT_ID,
    direction="credit",
    amount_lower_bound=285000,    # $2,850 in cents
    amount_upper_bound=285000,
    description="Origination Fee · 714937485928108394",
    metadata={
        "asset_id": "714937485928108394",
        "fee_type": "origination",
        "gross_cents": "285000",
    },
)

# Expected Payment 2 — appraisal fee net of $2,000 concession
ep_appr = client.expected_payments.create(
    internal_account_id=FEE_COLLECTION_ACCOUNT_ID,
    direction="credit",
    amount_lower_bound=150000,    # $1,500 net ($3,500 − $2,000 concession)
    amount_upper_bound=150000,
    description="Appraisal Fee (net concession) · 714937485928108394",
    metadata={
        "asset_id":       "714937485928108394",
        "fee_type":       "appraisal",
        "gross_cents":    "350000",
        "concession_cents": "200000",
        "net_cents":      "150000",
    },
)

Expected Payments

two fee EPs · 714937485928108394

EP · Origination Fee

direction: credit · inbound

status: pending

$2,850

EP · Appraisal Fee (net)

$3,500 gross − $2,000 concession

direction: credit · inbound

$1,500−$2,000 applied

Total EP inbound$4,350

MT auto-matches incoming transactions to these Expected Payments by exact amount. On match, a webhook fires to Django which posts the closing Ledger Transaction entries — no manual reconciliation.