Startup name: TruckerFetch
Tagline: Source-dated U.S. carrier research
Elevator Pitch: TruckerFetch helps teams research U.S. trucking companies using dated FMCSA observations. Filter carriers by state, operating classification, and reported fleet size; inspect profiles, save lists, and export permitted fields to CSV.
Pro adds insurance filing evidence, scoped REST, hosted MCP, and signed web hooks. Public examples are synthetic. Paid research and developer access depend on current plan availability.
Target Market: Teams that need to research U.S. trucking companies, including logistics, carrier-sourcing, and market-research teams.
How will you make money?: A free public synthetic preview; paid research and developer access from $49/month, subject to current plan availability.
How much capital have you raised?: null
Website: https://truckerfetch.com/
City/Country: United States
TruckerFetch is a carrier-research product for teams that sell services to U.S. trucking companies, combining dated public records, carrier observations, and working lists in one workspace. (Source: https://truckerfetch.com/about) Its relevance is straightforward: the underlying FMCSA Company Census File contains identification, business-operation, equipment, driver, and carrier-review data for registered entities, but turning that raw public information into a focused prospecting workflow requires filtering, context, and careful interpretation. (Source: https://catalog.data.gov/dataset/company-census-file)
TruckerFetch is aimed at dispatch-service providers, factoring business-development teams, and insurance producers that need to identify and research trucking carriers before outreach or follow-up. (Source: https://truckerfetch.com/) These users may need to distinguish similarly named companies, assess a carrier’s reported location, classification, fleet context, authority observations, or insurance filings, and preserve the source and date behind each field. (Source: https://truckerfetch.com/about)
The core problem is not merely finding a company name or contact channel; it is avoiding unsupported conclusions from incomplete or differently dated records. (Source: https://truckerfetch.com/data-sources) TruckerFetch explicitly notes that a carrier’s physical state does not establish every lane it runs, reported power-unit counts do not prove available equipment, and a newly observed carrier is not proof that it wants dispatch assistance. (Source: https://truckerfetch.com/use-cases/dispatchers)
The product lets paid users search U.S. carriers by state, operating classification, and reported fleet size; inspect profiles; save lists; and export authorized selections to CSV. (Source: https://truckerfetch.com/) Carrier records can include USDOT identity, legal name and reported DBA, business contact details where available, location, reported power-unit and driver counts, operating profile, and source, observation, and filing dates. (Source: https://truckerfetch.com/)
Its key design choice is to retain evidence context rather than present every data point as current or verified. (Source: https://truckerfetch.com/data-sources) The company says it independently collects from FMCSA Open Data and the Department of Transportation data catalog, treats Company Census as a published snapshot rather than a live lookup, and separately dates authority and insurance source families. (Source: https://truckerfetch.com/data-sources) This distinction matters because FMCSA’s public Company Census File covers active, inactive, and pending registered entities and assigns a USDOT number to identify each record. (Source: https://catalog.data.gov/dataset/company-census-file)
For higher-workflow users, TruckerFetch offers watchlists, lead history, REST API access, a hosted Model Context Protocol connection, and signed webhooks. (Source: https://truckerfetch.com/pricing) Its Pro insurance workflow is deliberately conservative: filing anniversaries are described as calendar calculations based on supported filing dates, while estimated policy renewals are not generally available and verified expiry requires matched policy evidence. (Source: https://truckerfetch.com/use-cases/insurance)
TruckerFetch uses a monthly subscription model with a Starter plan priced at $49 per month and a Pro plan priced at $99 per month; the public preview contains only fictional example records, while full carrier search requires a paid plan. (Source: https://truckerfetch.com/pricing) Starter includes dashboard research, CSV exports, saved searches, lists, watchlists, and limited historical lead access, while Pro adds reported insurance-filing research and integration features. (Source: https://truckerfetch.com/pricing)
The public materials reviewed describe product availability and pricing but do not provide quantified customer, revenue, funding, or usage metrics. (Source: https://truckerfetch.com/pricing)
TruckerFetch is positioned less as a generic lead database and more as an evidence-aware research layer for trucking-adjacent revenue teams. Its strength is the emphasis on source dates, explicit unknowns, and limits on what a record can establish. The principal open question is differentiation: because the underlying registration data is public, lasting value will depend on data processing quality, workflow fit, compliance safeguards, and whether integrations make the service meaningfully easier to use than raw FMCSA data.
Note: Information based on publicly available sources at the time of writing, and summarized by AI.
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