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KREXA

The credit layer for the agentic economy.

Compute, payments, and borrowing — bundled into one atomic transaction.

0
Active agents
0
Repayment rate
0
Protocol revenue
Live
On mainnet
THE PROBLEM

Agents need three things to operate.
Today, each is a separate, broken system.

Problem 1

Agentic Payments

Agents can't hold cards or sign ToS. No payment rail is built for autonomous software.

Coinbase x402 & Stripe ACP launched May 2025 — proving the gap exists.
Visa: "Machine-to-machine payments will exceed human payments by 2030."
Problem 2

Borrowing Capital

Agents need capital to trade, pay for APIs, and scale — but have no credit identity or collateral history.

a16z (2025): "The missing primitive for autonomous agents is under-collateralized credit."
No DeFi protocol underwrites agent-specific risk today.
Problem 3

Compute Lending

AI inference costs $55B+ in 2026. Agents pay upfront or stop. There's no "borrow now, repay from earnings" model.

Bain & Co (2025): AI infra spend will hit $990B by 2028.
9M+ paying OpenAI users; avg enterprise bill $85K/yr.
1 TX Krexa bundles compute + payments + credit
into one atomic transaction.
Coinbasex402 StripeStripe ACP VisaVisa GoogleGoogle AP2
WHO IS THE BORROWER?

The developers and operators behind every AI agent.

Not the borrower → CursorCursor ($1B+) ElevenLabsElevenLabs ($330M) Sierra ($100M+)

Trading Agent

Prediction market trader

50%+ APY — verified on-chain

Needs capital BEFORE first trade

Float gap: $500–$20K

Voice Agent Operator

Dental receptionist AI

$500/clinic/mo · API costs $150 upfront

Clients pay NET-30

Float gap at 20 clinics: $6–8K

Coding Agent Operator

Vertical dev shop

$2K/client/mo · $800 API costs upfront

Clients pay NET-30

Float gap at 15 clients: $12K

One pattern: costs hit before revenue arrives.

THE PRODUCT

Three surfaces. One credit engine.

krexa.xyz

Web dashboard for operators

Register agent · Connect billing

Monitor credit · Track repayments

Onboard in 2 minutes

MCP Server

46 MCPs · 75+ APIs on credit

Agent calls any tool — Krexa pays

Jupiter, OKX, Pyth, SNS, Pay.sh

Plug into any AI framework

CLI + SDK

krexa draw --amount 5000

krexa pay --to 0x... --usd 100

krexa score --agent 0x...

Programmatic access to credit

Agent calls an API → Krexa pays → Agent earns → Revenue Router auto-repays

One atomic transaction. Compute + payment + borrowing — bundled.

RISK FRAMEWORK

Both undercollateralized. Both scored by subscription history.

Low Risk

16% APR

Standard repayment — agent acts, earns, repays on schedule

Use cases: Service agents, coding agents, data agents, voice operators

Enforcement: Revenue Router auto-splits incoming payments

Whitelisted actions only — agent can only call approved APIs and services

Determined at registration · Foolproof constraints

High Risk

Smart Contract Framework

On-chain enforcement — PDA custody, auto-liquidation, position limits

Use cases: Perps trading, prediction markets, arbitrage, leveraged strategies

Enforcement: Smart contract controls every transaction — agent never holds keys

Whitelisted actions only — can only execute pre-approved trade types

Higher credit line · Structural enforcement

Both tiers scored by compute subscription history — not trust, not collateral.

Risk is determined at registration. Actions are whitelisted. The code enforces it.

TRACTION

Building in public.

0
Active agents
0
Repayment rate
0
Volume routed
0
Credit deployed
0
Protocol revenue
0
MCPs connected
OKXOKX SNSSNS Pay.shPay.sh MonadMonad
BUSINESS MODEL

Blended yield across two risk tiers.

Low Risk Tier

16% APR

Service agents, coding agents, voice operators

Standard repayment · Whitelisted actions

Cost of capital: 4–6%

Net spread: 10–12%

~70% of portfolio · Lower yield, lower default

High Risk Tier

24% APR

Perps, prediction markets, arbitrage, leverage

Smart contract enforcement · Auto-liquidation

Cost of capital: 4–6%

Net spread: 18–20%

~30% of portfolio · Higher yield, structural protection
Blended Portfolio Yield
~19% APR
Net spread after cost of capital: ~13–15%
+ Protocol fee 10% of every tx
+ MCP usage margin on 75+ APIs
+ KrexaScore queries (at scale)

More agents → more credit → more fees → better data → more agents

THE VISION

Credit is the GTM. Credit bureau is the endgame.

NOW

Compute-backed credit

Revenue Router generates data

Identity seeds as byproduct

LIVE

12–18 MONTHS

KrexaScore = reference signal

Platforms query before routing

Free — distribution first

IN PROGRESS

DESTINATION

Credit bureau for agents

Every query = revenue event

Network effects compound

THE VISION
Equifax + Experian + TransUnion = $0
We're building the agent equivalent.
PARTNERSHIPS

The financial OS composes with everything.

46 MCPs · 75+ APIs on credit · 5 Anchor programs · Multi-chain

🔒
🔓 ALPHA

Your OpenAI bill is your credit score.

$0 AI compute spend globally
$0 Enterprise Anthropic bill (avg)
$0 SMB Anthropic bill (avg)
0 Paying OpenAI business users
0 Companies $1M+/yr on Claude
Connect OpenAI / Anthropic
Verify spend + trend
KrexaScore +60 pts max
Credit line = 2.5x spend
$2K/mo$5K credit
$10K/mo$25K credit
$50K/mo$125K credit
The richest credit signal in history —
verifiable, consistent, impossible to fake.
TEAM

The team building the agent credit layer.

YK

YATHARTH KHER

Co-founder · Protocol Architect
· Built 5 Anchor programs live on Solana mainnet
· ADGM Fintech Talent of the Year
· 15 hackathons — UAE, US, UK
· AI + blockchain researcher since 2020
@yatharthkher
MB

MOHIT BANSAL

Co-founder · Strategy & Capital
· Chief of Staff to Sandeep Nailwal (Polygon)
· Architected $75M raise at Avail
· Facebook x Polygon integration
· IIT Bombay · FRM · CFA Level 2
@mohitb026
THE ASK
$0
Pre-Seed · $20M valuation · First close open.
"Before the data speaks for itself."
0
Active borrowers
0
Monthly revenue
0
Default rate

16-week targets

LET'S BUILD

Let's build the agentic economy together.

Telegram QR — @yatharthkher

Scan to connect on Telegram

yatharth@krexa.xyz