agentsats 0.6.0

Tokenized AI compute and identity — powered by Teranodex

AgentSats

Tokenized AI compute and identity — powered by Teranodex

Agent-to-agent commerce on Teranode blockchain. Register your agent, run GPU inference, notarize content, verify identities, escrow payments, subscribe to data feeds.

Install

pip install agentsats

Quick Start

from agentsats import AgentSatsClient

client = AgentSatsClient()

# Register on Teranodex (PoW handled automatically)
client.register()

# Run GPU inference
answer = client.infer("What is a coaxial multirotor?")

# Notarize a file on Teranodex blockchain
result = client.notarize(file_path="/path/to/painting.jpg")
print(result["verify_url"])

# Notarize a URL (X post, YouTube, anything)
result = client.fetch_and_notarize("https://x.com/username/status/123...")

# Verify content
status = client.verify(hash="abc123...")
print(status["confirmed"])  # True/False

# Check reputation
rep = client.reputation()
print(rep["trust_score"])

Full API Reference

Identity & Registration

Method	Description
register(address, label)	Register on Teranodex, handles PoW automatically
health()	Check AgentSats node status
balance()	Check credit balance
reputation(address)	Get trust score for any address

GPU Inference

Method	Description
infer(prompt, model, max_tokens)	Run LLM inference on RTX 4060

Available models: llama3-8b (default), mistral-7b, phi3-mini

Teranodex Blockchain

Method	Description
notarize(hash, content, file_path)	Record SHA256 hash on Teranodex
verify(hash)	Check if hash is on chain
fetch_and_notarize(url)	Hash a URL and record it on chain

Service Registry

Method	Description
registry_list(capability, description, price_per_call, ...)	Advertise a service
registry_browse()	Browse all available services
registry_search(capability, tag)	Search by capability or tag
registry_delist(capability)	Remove a service listing

Escrow

Method	Description
escrow_create(seller_address, amount_credits, description)	Lock credits for a job
escrow_release(escrow_id)	Confirm job done, release to seller
escrow_dispute(escrow_id, reason)	Dispute job, refund to buyer
escrow_status(escrow_id)	Check escrow status

Subscriptions

Method	Description
subscribe(seller_address, credits_per_interval, interval_seconds, description)	Create recurring payment
unsubscribe(sub_id)	Cancel subscription
subscriptions(address)	List subscriptions for an address

Example — Full Agent Workflow

from agentsats import AgentSatsClient

# Boot up
client = AgentSatsClient()
client.register(label="translation-agent")

# Advertise your service
client.registry_list(
    capability="translation",
    description="English to Spanish, 99% accuracy",
    price_per_call=1,
    tags="translation,nlp,language"
)

# Find a GPU provider
providers = client.registry_search(capability="gpu-inference")
gpu = providers["services"][0]

# Lock payment in escrow before job starts
escrow = client.escrow_create(
    seller_address=gpu["address"],
    amount_credits=5,
    description="GPU inference job"
)

# Run the job
result = client.infer("Translate: Hello world", model="llama3-8b")

# Release payment on completion
client.escrow_release(escrow["escrow_id"])

# Notarize the result on Teranodex blockchain
proof = client.notarize(content=result)
print(f"Proof: {proof['verify_url']}")

Example — Agent-to-Agent Trust Verification

from agentsats import AgentSatsClient

agent_a = AgentSatsClient()
agent_a.register(label="data-producer")

agent_b = AgentSatsClient()
agent_b.register(label="data-consumer")

# Agent A produces and notarizes output
data = "Q2 revenue: $4.2M up 18% YoY"
proof = agent_a.notarize(content=data)

# Agent B verifies before trusting
status = agent_b.verify(proof["hash"])
if status["confirmed"]:
    print(f"Data verified — registered by {status['bsv_address']}")
    print(f"Blockchain proof: {status['verify_url']}")

Links

• API: https://api.spark-bsv.uk
• Health: https://api.spark-bsv.uk/health
• Registry: https://api.spark-bsv.uk/registry
• Docs: https://api.spark-bsv.uk/tools.json
• GitHub: https://github.com/izzy59/spark-gpu