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hyperd-ai 0.2.0

pip install hyperd-ai

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Python SDK for hyperD โ€” pay-per-call DeFi APIs for AI agents over x402. 20 paid endpoints on Base USDC, no API key, no signup.

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  • License: MIT License (MIT)
  • Author: Thomas Potter
  • Tags agent-tools , ai-agents , base , defi , eip-3009 , hyperd , langchain , usdc , x402
  • Requires: Python >=3.10
  • Provides-Extra: dev , langchain

Project description

hyperd-ai โ€” Python SDK

Pay-per-call DeFi APIs for AI agents on Base. 20 paid x402 endpoints, USDC settlement in ~2s, no API key, no signup. The signed EIP-3009 payment is the auth.

๐Ÿ‘ PyPI
๐Ÿ‘ Python
๐Ÿ‘ License

Try it free

First 5 calls per IP per 24h are free โ€” no wallet, no signup, no API key. Just curl:

curl"https://api.hyperd.ai/api/balance?address=0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045"

Lifetime cap: 25 calls per IP. After that (or when daily quota is exhausted), the endpoint returns HTTP 402 โ€” sign a small EIP-3009 USDC payment on Base via the Python SDK or TypeScript MCP server.

/api/wallet/pnl has a tighter free-tier cap of 1 call/IP/day (heavy upstream).

Install

pipinstallhyperd-ai

For LangChain Tool wrappers:

pipinstall'hyperd-ai[langchain]'

Quick start

fromhyperdimport HyperD

# private_key can be passed explicitly or read from HYPERD_WALLET_PRIVATE_KEY env
client = HyperD(private_key="0x...")

# Cost: $0.10 USDC โ€” auto-signed and settled
risk = client.wallet_risk("0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045")
print(risk["sanctioned"], risk["risk_tier"], risk["categories"])

# Cost: $0.05
pnl = client.wallet_pnl("0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045", chain="base")
print(f"Total P&L: ${pnl['total_pnl_usd']:.2f}")

Fund the wallet

The wallet at private_key must hold USDC on Base. Typical agent runs cost a few cents โ€” ~$5 of USDC is enough for hundreds of decision cycles.

  • Buy USDC directly on Base via Coinbase / Coinbase Wallet
  • Bridge from Ethereum via Across or Hop
  • Get a test wallet at any Ethereum wallet generator (don't use your primary)

Endpoints

Marquee (the agent decision loop โ€” $0.32 total)

Method Cost What it answers
client.wallet_risk(address) $0.10 Is this address OFAC-sanctioned or otherwise risky?
client.token_security(contract, chain) $0.05 Is this token a scam? (GoPlus 0-100 score)
client.liquidation_risk(address, chain) $0.10 Cross-protocol health across Aave V3 / Compound v3 / Spark / Morpho
client.wallet_pnl(address, chain) $0.05 Realized + unrealized P&L, per-token breakdown
client.dex_quote(from_token, to_token, amount, chain) $0.02 Best swap route (Paraswap + 0x)

Secondary

Method Cost
client.balance(address, chain) $0.01
client.token_info(query) $0.01
client.yield_recommend(amount, risk) $0.05
client.protocol_tvl(slug) $0.01
client.gas_estimate(chain) $0.005
client.wallet_persona(address) $0.10
client.contract_audit(contract, chain) $0.10
client.governance_summarize(proposal_url) $0.10
client.sentiment_token(token, window) $0.05
client.wallet_anomaly(address, chain, window) $0.10
client.budget_guardian(address) $0.01
client.bundle(calls) $0.20 fixed (up to 10 calls bundled)

Synthesis Tier (LLM-composed verdicts)

These endpoints compose multiple raw signals into a single plain-language verdict envelope. Each returns a verdict dict with at minimum summary, band, and confidence. Raise max_usdc_per_call if you call the $1+ endpoints:

fromhyperdimport HyperD
c = HyperD(private_key="0x...", max_usdc_per_call=2.0)

# Full cross-signal risk audit โ€” composes wallet_risk + liquidation_risk + anomaly
verdict = c.risk_full_audit("0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045")
print(verdict["verdict"]["summary"]) # plain-language risk verdict
print(verdict["verdict"]["band"]) # safe / elevated / high / critical

# Token behavioural archetype
archetype = c.token_archetype("0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913")
print(archetype["verdict"]["archetype"]) # blue_chip / established / speculative / scam / ...

# Narrative wallet thesis (where did this wallet make its money?)
thesis = c.wallet_thesis("0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045")
print(thesis["verdict"]["thesis"]) # yield farmer / accumulator / degen / ...

# Structured threat brief (deepest synthesis, $1.50)
brief = c.wallet_threat_brief("0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045")
print(brief["verdict"]["threat_level"]) # low / medium / high / critical

# Translate a governance proposal โ€” jargon-free summary, 1-year cache
gov = c.gov_translate("https://snapshot.org/#/aave.eth/proposal/0xabc")
print(gov["verdict"]["band"]) # economic_param / treasury / code_upgrade / governance_meta

# Optimal yield allocation for a given amount + duration
alloc = c.yield_allocation(10_000, duration=90, chain="base")
print(alloc["verdict"]["recommended_protocol"], alloc["verdict"]["expected_apy"])
Method Cost What it composes
client.risk_full_audit(address, chain) $0.35 wallet_risk + liquidation_risk + anomaly + contract_audit
client.token_archetype(contract, chain) $0.30 token_security + token_info + sentiment
client.wallet_thesis(address, chain) $0.50 wallet_persona + wallet_pnl + anomaly
client.wallet_threat_brief(address, chain) $1.50 All risk signals โ€” deepest synthesis
client.gov_translate(proposal_url) $1.00 Snapshot/Tally proposal โ†’ plain-English verdict
client.yield_allocation(amount, duration, chain) $1.00 yield_recommend filtered by TVL + lock-up constraints

Free (no payment)

Method What
client.health() Liveness + version
client.catalog() Full machine-readable catalog of every endpoint + price

LangChain

fromhyperd.langchainimport get_tools
fromlangchain.agentsimport create_react_agent
fromlangchain_openaiimport ChatOpenAI

tools = get_tools(private_key="0x...") # 5 marquee endpoints as StructuredTools
llm = ChatOpenAI(model="gpt-4o-mini")
agent = create_react_agent(llm, tools)

result = agent.invoke({
 "messages": [{
 "role": "user",
 "content": "Is 0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045 safe to send funds to?",
 }],
})

The agent will pick hyperd_wallet_risk from the tool list, sign + settle the payment, and return the result to the LLM for synthesis.

Safety: the per-call USDC cap

Every paid method respects max_usdc_per_call (default $0.25). If the server's 402 challenge requests more than that, the SDK throws HyperdPaymentRefused BEFORE signing โ€” your wallet can't be drained even by a misbehaving or compromised server.

To raise the cap (e.g. for the $3 watch.create endpoint):

client = HyperD(private_key="0x...", max_usdc_per_call=5.0)

How the x402 payment works

  1. The SDK makes a normal HTTP GET to the paid endpoint.
  2. The server responds with HTTP 402 Payment Required and a machine-readable payment-required header.
  3. The SDK decodes the header, signs an EIP-3009 USDC transfer authorization on Base, and retries with the signed payment in the X-Payment header.
  4. Coinbase's x402 facilitator verifies the signature, submits the transfer on-chain, and unblocks the response. ~2 seconds end-to-end.

There's no key store to rotate, no rate-limit form to fill out, no signup. The signature is the auth.

Errors

Exception When
HyperdPaymentRefused Server requested more USDC than max_usdc_per_call
HyperdHttpError Server returned a non-2xx after the payment retry
HyperdError Malformed 402 challenge, missing EIP-712 domain fields, or signing error

All three inherit from HyperdError so you can catch the umbrella class.

Remote MCP-over-HTTPS (for non-Python agents)

hyperD's tool catalog is also exposed as a remote MCP server at https://api.hyperd.ai/mcp. The Python SDK is the right choice for Python agents; the remote MCP is the right choice for:

  • Agents in other languages that already speak MCP (TypeScript, Go via mcp-go, etc.)
  • Hosted agent platforms that pull tools from MCP URLs (Smithery, Cursor's remote MCP roadmap)
  • Quick API discovery without installing anything

Same 17 tools, same per-IP free-tier quota, same x402 payment auth.

POST https://api.hyperd.ai/mcp
{"jsonrpc":"2.0","id":1,"method":"tools/list"}

Production integrators

Other x402 merchants whose integrator docs reference this SDK's _buyer.py (~210 LOC, requests + eth-account only) as a canonical non-TypeScript buyer implementation:

  • AgentOracle (@TKCollective) โ€” pay-per-call oracle aggregation on x402
  • x402-market (@AsaiShota) โ€” x402 marketplace + merchant tooling

Coordination context: x402-foundation/x402#2207 (the canonical-buyer / Bazaar resource-keying thread).

If you're shipping an x402 service in Go, Rust, JVM, .NET, or any non-TS environment and want a working reference, _buyer.py is the smallest faithful implementation of the v2 wire format โ€” copy-adapt freely (MIT).

Links

License

MIT. Built for agents that pay their own way.

Project details

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Thomas Potter
  • Tags agent-tools , ai-agents , base , defi , eip-3009 , hyperd , langchain , usdc , x402
  • Requires: Python >=3.10
  • Provides-Extra: dev , langchain

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