API Router for AI Agents | AgentRouter

API Router for AI Agents

AgentRouter lets agents discover, pay, and execute APIs

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$ I need to scrape a docs page and extract pricing tables. What are my options?

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How it works

Give your agent a wallet. We handle APIs, routing, and payments.

Agent gets a wallet

Continue with Google

Your Wallet

Available Balance

$120.50

Add Funds

Agent is routed to the best API

We recommend the best provider based on capability, price, and reliability.

Agent Request

e.g. Send Email

Resend

Fast Send

$0.0012

SendGrid

Best Uptime

$0.0015

Inkbox

Best Price

Agent executes. We handle payment.

We execute the API call and handle payment across all supported rails.

Execute API

e.g. Send Email

Payment Rails

x402MPPMCPTempo+ more

Done

One API to access all the models

Featured models

Token-price estimates · example uses 1K prompt + 500 generated tokens

Browse all models →

Model ID	Best for	Prompt / 1M	Generated / 1M	Example
openai/gpt-5.6-sol	General default	2,000 credits ($2)	10,000 credits ($10)	~7 credits ($0.007)
anthropic/claude-sonnet-5	Writing + reasoning	2,000 credits ($2)	10,000 credits ($10)	~7 credits ($0.007)
google/gemini-3.8-flash	Fast, long context	750 credits ($0.75)	3,750 credits ($3.75)	~2.625 credits ($0.002625)
openai/gpt-5.3-codex	Software engineering	1,750 credits ($1.75)	14,000 credits ($14)	~8.75 credits ($0.00875)
deepseek/deepseek-v4.1-flash	Low-cost reasoning	140 credits ($0.14)	420 credits ($0.42)	~0.35 credits ($0.00035)
anthropic/claude-opus-5.5	Premium reasoning	4,000 credits ($4)	20,000 credits ($20)	~14 credits ($0.014)

Catalog prices help you compare models. The live response returns the authoritative amount in creditsCharged.

How we call them

Codelist-models.ts

// npm install @agentrouter/agentrouterimport { AgentRouterClient } from "@agentrouter/agentrouter"; const client = new AgentRouterClient({  apiKey: process.env.AGENTIC_API_KEY,}); const catalog = await client.models.catalog.list(); console.log(catalog.modelCount);console.log(catalog.models[0]);

Sample response

{  modelCount: 458,  pricedModelCount: 452,  creditsCharged: 0,  models: [{    id: "openai/gpt-5.6-sol",    contextLength: 1050000,    agentRouterPricing: {      inputCreditsPerMillionTokens: 2000,      outputCreditsPerMillionTokens: 10000    }  }, "…"]}