Texas Ethics Commission data
Release v1.4
Source snapshot September 17, 2026
Latest eligible reported transaction September 15, 2026
Canonical Vendor
Peaster Education Foundation
Resolved vendor identity assembled from reviewed Texas Ethics Commission payee records.
Canonical vendor · Vendor ID 241065 · Resolution: Indexed Canonical Identity
Total Payments
$3,363.41
Client Filers
2
Payments
2
Activity Range
04/20/2022–03/07/2024
Largest Payment
$2,500.00
Graph: 2 connected filers · 2 payments · $3,363.41 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.
- Peaster Education Foundation
Top Client Filers
Canonical client relationships from vendor_clients_canonical.
| # | Filer | Paid | Payments | Last Payment |
|---|---|---|---|---|
| 1 | King, Phillip S. (The Honorable) | $2,500.00 | 1 | 03/07/2024 |
| 2 | Vote Yes For Peaster ISD | $863.41 | 1 | 04/20/2022 |
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 |
|---|---|---|---|---|
|
Texas Star Ranch & Retreat
Vendor ID 313777
|
2 | 100.0% | 2 | 100.0% |
|
Blue Ridge Signs
Vendor ID 37186
|
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 |
|---|---|---|---|
| 03/07/2024 | King, Phillip S. (The Honorable) | $2,500.00 | sponsorship support |
| 04/20/2022 | Vote Yes For Peaster ISD | $863.41 | Donation to Peaster Education Foundation |
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.