API Tools

trackjet.world

Provides APIs to detect, lookup, and track shipments from various carriers.

1 endpoint12 known toolsFirst detected June 12, 2026Last detected July 14, 2026

ENDPOINT 1

https://trackjet.world/mcp

No auth detected

Known tools 12

detect_tracking_number

Given a raw tracking number, identify the shipment format (IATA MAWB, ISO 6346 ocean container, UPU S10 postal, UPS 1Z parcel, FedEx, DHL, etc.) and the public TrackJet vertical that owns the lookup.

get_carrier_info

Look up a carrier in TrackJet's catalog by its URL-safe slug (e.g.

get_tracking_url

Given a raw tracking number, return the single best URL to send the user to for live tracking.

list_supported_carriers

Enumerate the carriers TrackJet knows about.

get_shipment_events

Fetch live tracking events for a DHL Group shipment number (DHL Express, DHL Paket, DHL eCommerce, DHL Freight, DHL Global Forwarding) via the official DHL Unified Tracking API.

get_trackjet_capabilities

Returns a live snapshot of what TrackJet can do RIGHT NOW.

estimate_carbon

Estimate the carbon footprint (kg CO2e) of a shipment from its transport mode, weight and distance, using GLEC Framework / ISO 14083 default modal intensity factors — the same factors trackjet.world's on-page calculator and REST API use.

verify_timeline

Check whether a tracked shipment's event history is intact.

get_distance

Resolve two location identifiers (IATA code, UN/LOCODE, ICAO code, or an unambiguous "City, CC") against TrackJet's locally imported UN/LOCODE 2025-1 + OurAirports data and return the great-circle (haversine) distance in km.

get_transit_stats

p50/p90 transit duration for a (vertical, origin country, destination country[, carrier]) route, computed exclusively from TrackJet's own anonymous observations of completed tracked shipments.

assess_shipment_truth

Assess the time-consistency of a shipment's carrier history that TrackJet has already observed.

forecast_delivery

Probability that a shipment is delivered within 1/2/3/5/7/10/14 days, plus remaining-time p50/p90, from a Monte-Carlo + Markov model over TrackJet's own observed transit times for the (vertical, origin country, destination country[, carrier]) route, conditioned on current_status and elapsed_hours.