The Agent Economy Infrastructure

One key to every frontier model. Your wallet is your account โ agents sign up, top up, and get to work without a human in the loop.
You set the mission. Your agents do the rest โ register, pay, reason, earn, repay. Forever.
No forms. No cards. No humans in the loop.
One API For Any Model ยท Official API Direct ยท USDT / USDC on Ethereum
AGI-era flagships up top โ Fable 5.1 (CEO) and GPT-6 Astra (COO), the two $10/$50 seats โ then the rest of your model workforce.
OpenAI models (Astra, GPT-6.1 Sol, GPT-6 Sol, GPT-6 Luna, GPT-5.6 Sol / Terra / Luna, GPT-5.5, GPT-5.4): above 272K input tokens the whole request bills at OpenAI's long-context sheet โ input and cache ร2, output ร1.5 โ passed through 1:1.
Anthropic's most capable model โ the new CEO. Next-generation reasoning for the hardest problems and multi-hour agentic missions, always-on adaptive thinking, 1M context. Same $10/$50 as Fable 5 with cache reads at $0.25/M (a quarter of Fable 5's rate). Forced tool_choice is not supported upstream โ use auto plus an explicit instruction.
OpenAI's most capable model โ the COO. Built for the hardest end-to-end work: computer use, browsing, multistep workflows across code and professional software, with async tool calling and mid-conversation reasoning control on /v1/responses. 1.05M context, 128K output; same $10/$50 as the CEO. Tool calling requires /v1/responses; reasoning effort starts at low (none unsupported).
Anthropic's new enterprise flagship โ the Senior Advisor. Built for long-running agentic coding and knowledge work at $4/$20 with cache reads at $0.20/M (60% below Opus 5), 1M context, adaptive thinking always on (default effort medium), Jun 2026 knowledge. Same rules as Fable 5.1: no forced tool_choice (use auto + an explicit instruction); text between tool calls may arrive as thinking blocks (often plain text blocks in practice).
OpenAI's GPT-6.1 model โ near-Astra performance at a lower cost for complex coding, computer use and professional work; the Frontier Value seat at the same $2/$10 as GPT-6 Sol, cache reads halved to $0.10/M. 1.05M context, 128K output, Apr 2026 knowledge, reasoning effort low through max (no none / minimal). Astra rules: function tools only on /v1/responses (Chat Completions runs without tools โ a tools request there is a 400), no temperature / top_p.
The best combination of speed and intelligence โ the new CTO. Coding and agentic work at the same $2/$10 as Sonnet 5, 1M context, Jun 2026 knowledge, prompt caching from 512 tokens. Same rules as Fable 5.1: no forced tool_choice (use auto + an explicit instruction); thinking can't be turned off (between_tools is the floor, default effort high); text between tool calls may arrive as thinking blocks.
Google's flagship reasoning model โ the new Researcher. Built for complex software engineering, deep math and science, autonomous multi-step agents and long-horizon analysis over a 1M unified context; thinking low / medium / high, implicit prompt caching at $0.10/M. Intro price $2/$10 through 2026-11-30; $4/$20 from 2026-12-01. Thinking counts toward max_tokens โ set it โฅ 32,768 for hard tasks.
GPT-5.5-class quality at 40% of the price. The balanced everyday frontier model โ strong reasoning, coding, and tool use for agents that don't need flagship cost.
The new budget agentic workhorse โ Luna runs your entire back office at $0.10/M input, $0.50/M output, with 90%-off cache reads. GPT-6 generation: 1.05M context, 128K output, reasoning effort none through max; built for focused, high-volume agent fleets. Tools + reasoning โ use /v1/responses.
Google's agentic Flash โ native function calling (streaming + non-streaming), coding and multi-step agent pipelines at Flash cost, 1M context. Intro price $0.75/$3.75 through 2026-12-31; $1.50/$7.50 from 2027-01-01.
OpenAI frontier โ coding, agents, computer use, 1M context. The recommended default for most tasks.
Legacy Opus kept available for workflows pinned to 4.7 behaviors. Two generations back โ prefer Claude Opus 5 for new work at the same price.
The battle-tested previous-gen Sonnet. Kept available for workflows tuned to 4.6 behaviors โ Claude Sonnet 5.5 offers more intelligence at a lower price.
The battle-tested agentic model. Proven at long-horizon coding, computer use, and tool orchestration โ kept at full strength for workflows tuned to 5.5; GPT-5.6 Terra offers similar quality at 40% of the price.
OpenAI's proven mini model โ coding, computer use, and subagents. A dependable known quantity for high-volume workloads; GPT-5.6 Luna is the newer budget-agent pick.
Bench strength: the proven Opus flagship kept warm for second opinions and workflows tuned to 4.8 behaviors โ same $5/$25 as Claude Opus 5.
Google's fastest model โ 381 tokens/sec, 1M context. The pure-throughput pick for real-time agents and high-volume pipelines; everyday low-cost work now runs on Luna.
Bench strength: the proven Fable flagship kept warm for workflows tuned to Fable 5 behaviors โ and for forced tool_choice, which Fable 5.1 no longer accepts. Same $10/$50; cache reads $1/M.
Bench strength: the proven agentic Flash kept warm for pipelines tuned to 3.7 behaviors. Intro price $0.75/$3.75 through 2026-12-31; $1.50/$7.50 from 2027-01-01.
Bench strength: the proven Opus 5 flagship kept warm for workflows tuned to Opus 5 behaviors โ and for forced tool_choice, which Opus 5.5 no longer accepts. Same $5/$25; cache reads $0.50/M; May 2026 knowledge.
Bench strength: the proven GPT-5.6 Sol kept warm for workflows tuned to 5.6 behaviors, still at the promotional $4/$20 (at least through 2026-11-21). GPT-6.1 Sol is the new Frontier Value seat at $2/$10.
Bench strength: the proven GPT-5.6 Luna kept warm for high-volume pipelines tuned to 5.6 behaviors โ $0.20/$1.20 with 90%-off cache reads. GPT-6 Luna is the new back-office seat at $0.10/$0.50.
Bench strength: the proven Sonnet 5 kept warm for workflows tuned to Sonnet 5 behaviors โ and for forced tool_choice, which Sonnet 5.5 no longer accepts. Same $2/$10; cache reads $0.20/M.
Bench strength: the proven GPT-6 Sol kept warm for workflows tuned to GPT-6 Sol behaviors โ and for reasoning_effort none, which GPT-6.1 Sol no longer accepts (so function tools still run on /chat/completions here with none). Same $2/$10; cache reads $0.20/M. GPT-6.1 Sol is the new Frontier Value seat.
Bench strength: the proven Gemini Pro kept warm for research pipelines tuned to 3.1 behaviors. Same $2/$12; 1M context; cache reads $0.20/M. Gemini 4 Argon is the new Researcher seat at $2/$10.
Your wallet is your account: sign a message to prove you own it, top up with USDC/USDT, and your key is live.
Three doors. One key. All models, official APIs.
from openai import OpenAI
client = OpenAI(
base_url="https://clawapi.org/api/v1",
api_key="sk-claw-YOUR_KEY"
)
response = client.chat.completions.create(
model="claude-opus-4-8",
messages=[{"role": "user", "content": "Hello from ClawAPI!"}]
)
print(response.choices[0].message.content)
# GPT-5.6 / GPT-6 Sol & Luna + tools + reasoning, or GPT-6 Astra / GPT-6.1 Sol + tools? Use /v1/responses (see below)# Use any client that speaks Anthropic โ including Claude Code CLI:
export ANTHROPIC_BASE_URL=https://clawapi.org/anthropic
export ANTHROPIC_API_KEY=sk-claw-YOUR_KEY
claude --model gpt-5.4 # any of the ClawAPI models
# Or the Anthropic SDK directly:
from anthropic import Anthropic
client = Anthropic(
base_url="https://clawapi.org/anthropic",
api_key="sk-claw-YOUR_KEY"
)
msg = client.messages.create(
model="claude-sonnet-4-6", # ClawAPI short ID โ stable across versions
max_tokens=200,
messages=[{"role": "user", "content": "Hello"}],
)# GPT-5.6 family + GPT-6 Sol / Luna: reasoning + function tools runs here (upstream requirement)
# GPT-6 Astra / GPT-6.1 Sol: ALL function tools run here; reasoning_effort starts at "low" (none unsupported; max is Responses-only),
# no temperature/top_p, prefer stream=True for xhigh/max effort (forced tool_choice honored on both)
from openai import OpenAI
client = OpenAI(
base_url="https://clawapi.org/api/v1",
api_key="sk-claw-YOUR_KEY"
)
r = client.responses.create(
model="gpt-6-luna",
input="What's the ETH balance of vitalik.eth?",
tools=[{"type": "function", "name": "get_eth_balance",
"parameters": {"type": "object",
"properties": {"address": {"type": "string"}}}}],
)
print(r.output_text)sk-claw-* key works on every endpoint. Pick by client convenience โ every model works on both protocol doors, with two exceptions: the GPT-5.6 family and GPT-6 Sol / Luna with reasoning + tools, and GPT-6 Astra / GPT-6.1 Sol with tools at all, must use /v1/responses (Astra and 6.1 Sol also have no reasoning_effort: "none", reject temperature/top_p, take max effort only here, and work best with stream: true). Claude prompt caching is automatic on /chat/completions (system + last message); explicit cache_control passes through; x-claw-cache: off disables it. Extended thinking is preserved on the Anthropic endpoint, which also passes cache_control through. Forced tool_choice (required / a named function) is not available on claude-fable-5-1 or claude-opus-5-5 โ Anthropic removed it on Fable 5.1 and Opus 5.5, so you get a clear 400, never a silent downgrade to auto. Use auto + an explicit instruction, or claude-fable-5 / claude-opus-5. Server-side fallback and fast mode are not offered: the Anthropic endpoint strips fallbacks and speed, and a safety refusal arrives as HTTP 200 with stop_reason: "refusal" for your client to handle.Three steps. Under 60 seconds. Your model workforce is ready.
Fable 5.1 is your CEO. GPT-6 Astra is your COO. Sonnet 5.5 is your CTO. GPT-6 Luna is your CFO. One key runs them all.