Texas Ethics Commission data Release v1.4 Source snapshot September 17, 2026 Latest eligible reported transaction September 15, 2026
Canonical Vendor

TPM LLC

Resolved vendor identity assembled from reviewed Texas Ethics Commission payee records.
Canonical vendor · Vendor ID 331720 · Resolution: Indexed Canonical Identity
Total Payments
$46,300.00
Client Filers
2
Payments
4
Activity Range
11/14/2009–07/12/2012
Largest Payment
$25,000.00
Graph: 2 connected filers · 4 payments · $46,300.00 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.

Top Client Filers

Canonical client relationships from vendor_clients_canonical.
#FilerPaidPaymentsLast Payment
1Texans for Insurance Reform$25,000.00107/12/2012
2Moseley, James A$21,300.00302/26/2010

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
U.S. POSTMASTER
Vendor ID 337005
2 100.0% 366 0.5%
OFFICE DEPOT
Vendor ID 230284
2 100.0% 3,017 0.1%
UNITED STATES POSTAL SERVICE
Vendor ID 338453
2 100.0% 1,445 0.1%
Method: Focal Coverage = shared clients ÷ this vendor's client count. Network Overlap = Jaccard similarity: shared clients ÷ union of both client sets.

Recent Reported Payments

DateClient FilerAmountDescription
07/12/2012Texans for Insurance Reform$25,000.00Contributed inkind to Jeff Wentworth SD 25: Voter contact services
02/26/2010Moseley, James A$9,300.00contract labor
12/11/2009Moseley, James A$5,300.00Contract Labor
11/14/2009Moseley, James A$6,700.00Contract Labor
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.