Backed by Entrepreneur FirstYour agent is paying for JSON itnever uses
Today, AI agents pay for full payloads. With us, AI agents pay for the payload they use. Hopeless Gateway intelligently filters unnecessary fields before reaching your model.
Token reduction
Faster processing
Setup cost
See It In Action
Your agent is paying for JSON it never uses. Watch how Hopelessreduces payload.
{
"Passengers": [
{
"Ref": "tss",
"RefClient": null,
"PassengerQuantity": 1,
"PassengerTypeCode": "AD",
"NameElement": {
"CivilityCode": "Mr",
"Firstname": "Pema",
"Middlename": "Pema",
"Surname": "Pema",
"Extensions": null
},
"Extensions": null
}
],
"Segments": [
{
"BookingClasses": [
{
"CabinClassCode": "Y",
"Code": "V",
"OperatingCode": "V",
"Quantity": 9,
"StatusCode": "HK",
"Extensions": null
},
{
"CabinClassCode": "C",
"Code": "C",
"OperatingCode": "C",
"Quantity": 3,
"StatusCode": "HK",
"Extensions": null
}
],
"Ref": "-1245309",
"AirlineDesignator": "B3",
"FlightInfo": {
"OriginAirportTerminal": null,
"DestinationAirportTerminal": null,
"FlightNumber": "700",
"OperatingAirlineDesignator": "B3",
"OperatingFlightNumber": "700",
"CodeShareAgreementTypeCode": "",
"EquipmentCode": "319",
"EquipmentText": "Airbus A319",
"DurationMinutes": 270,
"DepartureDate": "/Date(1766655300000+0100)/",
"Stops": [
{
"ArrivalDate": null,
"DepartureDate": null,
"LocationCode": "CCU",
"Extensions": null
}
],
"ArrivalDate": "/Date(1766675100000+0100)/",
"Remarks": null,
"Extensions": null
},
"OriginCode": "PBH",
"DestinationCode": "BKK",
"Extensions": null,
"LegRemarks": null
},
{
"BookingClasses": [
{
"CabinClassCode": "Y",
"Code": "V",
"OperatingCode": "V",
"Quantity": 9,
"StatusCode": "HK",
"Extensions": null
},
{
"CabinClassCode": "C",
"Code": "C",
"OperatingCode": "C",
"Quantity": 8,
"StatusCode": "HK",
"Extensions": null
}
],
"Ref": "-1245310",
"AirlineDesignator": "B3",
"FlightInfo": {
"OriginAirportTerminal": null,
"DestinationAirportTerminal": null,
"FlightNumber": "701",
"OperatingAirlineDesignator": "B3",
"OperatingFlightNumber": "701",
"CodeShareAgreementTypeCode": "",
"EquipmentCode": "319",
"EquipmentText": "Airbus A319",
"DurationMinutes": 265,
"DepartureDate": "/Date(1766813400000+0100)/",
"Stops": [
{
"ArrivalDate": null,
"DepartureDate": null,
"LocationCode": "CCU",
"Extensions": null
}
],
"ArrivalDate": "/Date(1766825700000+0100)/",
"Remarks": null,
"Extensions": null
},
"OriginCode": "BKK",
"DestinationCode": "PBH",
"Extensions": null,
"LegRemarks": null
}
],
"FareInfo": {
"Itineraries": [
{
"Ref": "Itin_0",
"AirOriginDestinations": [
{
"OriginDestinationOrder": 1,
"RefFareRule": "FR_0",
"AirCoupons": [
{
"CouponOrder": 1,
"RefSegment": "-1245309",
"BookingClassCode": "V",
"Extensions": null
}
],
"Extensions": null
},
{
"OriginDestinationOrder": 2,
"RefFareRule": "FR_0",
"AirCoupons": [
{
"CouponOrder": 2,
"RefSegment": "-1245310",
"BookingClassCode": "V",
"Extensions": null
}
],
"Extensions": null
}
],
"SaleCurrencyAmount": {
"DiscountAmount": 0,
"BaseAmount": 24239,
"TaxAmount": 10357,
"TotalAmount": 34596,
"MilesAmount": 0,
"Extensions": null
},
"Extensions": null,
"RefExchangingItin": null,
"ValidatingAirlineDesignator": null
}
],
"FareRules": [
{
"Ref": "FR_0",
"VoluntaryChangeCode": "WithPenalties",
"VoluntaryRefundCode": "WithPenalties",
"Details": null,
"FareConditionText": null,
"Extensions": null
}
],
"SaleCurrencyCode": "BTN"
},
"SystemMetadata": {
"RequestID": "req_92837465",
"Timestamp": "2024-12-08T14:22:00Z",
"ProcessingTime": 234,
"Version": "1.0",
"APIVersion": "v2.1",
"DataCacheKey": "flights_pbh_bkk_2025"
}
}From Legacy to Modern
Transform bloated APIs into optimized responses for AI agents
~5000 tokens
Optimized
~120 tokens
Your AI agents only pay for the data they actually use
Context bloating is the biggest blocker to AI adoption.
As AI agents become more powerful, they're drowning in unnecessary data. This context bloat creates real barriers that prevent teams from scaling their AI applications effectively.
Too Much Context
AI agents receive massive JSON payloads filled with unnecessary data, making it harder to extract relevant information and increasing processing complexity.
Hitting Token Limits
Large payloads quickly consume context windows, forcing you to truncate data or split requests, which breaks functionality and degrades user experience.
Paying More
Every unnecessary token costs money. Bloated contexts mean higher API costs, slower responses, and wasted resources on data your AI never uses.
How we solve it
Hopelessintelligently optimizes your JSON payloads, removing unused fields and reducing context bloat without changing your application logic.
Intelligent Field Filtering
Automatically identify and remove unused fields from your JSON payloads. Our AI analyzes your agent's behavior to suggest which fields can be safely excluded.
Dynamic Schema Optimization
Reduce payload sizes by 60-90% without changing your logic. Same functionality, same output—just dramatically smaller and faster.
Cost-Effective Processing
Pay only for what your agent actually uses. Lower token counts mean faster responses, reduced costs, and better performance across all LLM providers.
Frequently Asked Questions
Everything you need to know about Hopeless.
Start Optimizing Today
See how much you can save. No credit card required. Free tier includes everything you need.