Texas Ethics Commission data
Release v1.4
Source snapshot September 17, 2026
Latest eligible reported transaction September 15, 2026
Canonical Vendor
Noboxcreative.biz
Resolved vendor identity assembled from reviewed Texas Ethics Commission payee records.
Canonical vendor · Vendor ID 226639 · Resolution: Indexed Canonical Identity
Total Payments
$701,373.52
Client Filers
2
Payments
10
Activity Range
03/20/2025–05/19/2025
Largest Payment
$125,000.00
Graph: 2 connected filers · 10 payments · $701,373.52 represented
Canonical vendor assembled from reviewed Texas Ethics Commission reported payee identities. Source records remain unchanged.
Reported Names
Payee names preserved from the reported/curated source layer and resolved to this canonical vendor.
- Noboxcreative.biz
Top Client Filers
Canonical client relationships from vendor_clients_canonical.
| # | Filer | Paid | Payments | Last Payment |
|---|---|---|---|---|
| 1 | Midland Works | $399,849.83 | 7 | 05/06/2025 |
| 2 | Vote For Odessa College PAC | $301,523.69 | 3 | 05/19/2025 |
Recent Reported Payments
| Date | Client Filer | Amount | Description |
|---|---|---|---|
| 05/19/2025 | Vote For Odessa College PAC | $100,103.22 | campaign consulting, text messages, remaining invoice charges |
| 05/06/2025 | Midland Works | $1,870.64 | Texting and media |
| 04/28/2025 | Midland Works | $43,683.44 | Texting, Media |
| 04/22/2025 | Vote For Odessa College PAC | $101,420.47 | flyers, website, commercial production, text message campaign |
| 04/18/2025 | Midland Works | $125,000.00 | Texting, Media |
| 04/15/2025 | Midland Works | $63,807.75 | Texting, Media |
| 04/15/2025 | Midland Works | $17,900.00 | Texting, Media |
| 04/10/2025 | Midland Works | $100,000.00 | Texting, Media |
| 04/09/2025 | Vote For Odessa College PAC | $100,000.00 | tv advertising |
| 03/20/2025 | Midland Works | $47,588.00 | Yard signs, TV production, digitial media |
Evidence basis: A canonical vendor identity was resolved using the curated vendor layer. Raw reported-payee statistics remain separate from canonical vendor statistics so the source record and analytical identity are distinguishable.