Texas Ethics Commission data
Release v1.4
Source snapshot September 17, 2026
Latest eligible reported transaction September 15, 2026
Canonical Vendor
Be Free Film
Resolved vendor identity assembled from reviewed Texas Ethics Commission payee records.
Canonical vendor · Vendor ID 29779 · Resolution: Indexed Canonical Identity
Total Payments
$16,100.00
Client Filers
2
Payments
4
Activity Range
02/16/2024–09/27/2024
Largest Payment
$5,000.00
Graph: 2 connected filers · 4 payments · $16,100.00 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.
- Be Free Film
Top Client Filers
Canonical client relationships from vendor_clients_canonical.
| # | Filer | Paid | Payments | Last Payment |
|---|---|---|---|---|
| 1 | Fredericksburg Tea Party PAC | $10,000.00 | 2 | 09/27/2024 |
| 2 | Biedermann, Kenneth K. (The Honorable) | $6,100.00 | 2 | 02/16/2024 |
Shared Client Network
Other canonical vendors paid by the same filer clients. Ranked by shared-client count.
This is a structural overlap measure, not evidence of affiliation or coordination.
| Vendor | Shared Clients | Focal Coverage | Peer Clients | Network Overlap |
|---|---|---|---|---|
|
Fredericksburg Inn & Suites
Vendor ID 118407
|
2 | 100.0% | 6 | 33.3% |
Method: Focal Coverage = shared clients ÷ this vendor's client count.
Network Overlap = Jaccard similarity: shared clients ÷ union of both client sets.
Recent Reported Payments
| Date | Client Filer | Amount | Description |
|---|---|---|---|
| 09/27/2024 | Fredericksburg Tea Party PAC | $5,000.00 | Audio Visual for event |
| 09/27/2024 | Fredericksburg Tea Party PAC | $5,000.00 | Audio Visual for event |
| 02/16/2024 | Biedermann, Kenneth K. (The Honorable) | $3,050.00 | Campaign advertising |
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.