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Green Screens AI History API

Historical rate data and similar lanes analysis v1View separatelyTry it in swagger

Green Screens AI History API is one of 10 APIs that Green Screens AI publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include History. The published artifact set on APIs.io includes an OpenAPI specification.

This API exposes 2 operations across 2 paths, and defines 18 schemas. It is described by OpenAPI 3.2.0, at version 1.3.3.

Requests are made against a single base URL, https://connect.greenscreens.ai/prediction/v3.

2 operations 2 paths 18 schemas 2 POST

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
1.3.3
Base URL
https://connect.greenscreens.ai/prediction/v3
Terms of Service
Resource Areas
1

Paths & Operations 2

Across 2 paths, the API surfaces 2 operations — 2 POST. Each is listed below with its method, path, parameters, and response codes.

History 2

Historical rate data and similar lanes analysis v1 View separately Try it in swagger

POST
/history/loads
Load history search
loadsHistory body → 200400401403429500
POST
/history/recent
Recent customer's rate
recentRates body → 200400401404422424429500

Schemas 18

The contract defines 18 schemas that model the data the API accepts and returns. The most detailed are History_LoadRateObject (29 properties), History_LoadsHistoryRequest (14 properties), History_RecentRatesRequest (12 properties), History_RecentRateObject (8 properties). Each schema is shown below with its type and property counts.

History_StopInput
objectnull
Contains the stop information e.g. address
2 properties 2 required
History_AddressInputRecentRates
object
Location specified by country, city, state and zip code
4 properties 4 required
History_TransportType
string
Transport type If you would like Hotshot predictions, reach out to your CSM and DA. The model will not work properly without your hotshot data effectively filt…
History_AddressInput
object
Location specified by country, city, state and zip code
4 properties 2 required
History_LoadsHistoryRequest
object
14 properties 6 required
History_StopsInputRecentRates
array
Extra stops between origin and destination
History_RecentRateObject
object
8 properties 8 required
History_ExtraStops
array
Any extra stops along the route between the origin and destination points
History_RecentRatesRequest
object
12 properties 8 required
History_Error
object
A common api error object
2 properties 2 required
History_LoadsHistoryResponse
object
list of rates
2 properties 2 required
History_GeographicalArea
string
Determines the size of the area around the origin and destination points, that will be searched for the related data. CITY - narrow, city wide, area ZIP - narr…
History_ExtraStopAddress
object
Location specified by country, city, state and zip code. Country is required Either city-state pair or zip code is required All four parameters can be passed t…
4 properties 1 required
History_LoadRateObject
object
Load data
29 properties 7 required
History_StopInputRecentRates
object
Contains the stop information e.g. address
2 properties 2 required
History_RecentRatesResponse
object
rates for three periods
3 properties
History_ExtraStop
object
Extra stop
4 properties 2 required
History_StopsInput
array
Extra stops between origin and destination

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

green-screens-ai-history-api-openapi.yml Raw ↑

Other APIs Green Screens AI publishes across the network.

Green Screens AI Prediction API
Green Screens AI Analytics API
Green Screens AI Auth API
Green Screens AI Bids API
Green Screens AI MarketIntelligence API
Green Screens AI Prediction API
Green Screens AI Pricing API
Green Screens AI Quotes API
Green Screens AI TMS API
Where this information came from

This is an independent, third-party profile of Green Screens AI History API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

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