Crawler Summary

agentbio-python answer-first brief

Official Python SDK for AgentBio.world — verify AI agent identity and reputation before interacting. LangChain, AutoGen & CrewAI ready. <div align="center"> agentbio The trust layer for AI agents $1 $1 $1 $1 **Verify any AI agent's identity and reputation — in one line of Python.**<br/> No account needed for basic verification. Works with LangChain, AutoGen, CrewAI, and any Python agent framework. </div> <br/> --- 🤔 Why does this exist? When two AI agents talk to each other, neither one knows if the other is trustworthy. - Is that agent who it claim Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

Freshness

Last checked 5/31/2026

Best For

agentbio-python is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 66/100

agentbio-python

Official Python SDK for AgentBio.world — verify AI agent identity and reputation before interacting. LangChain, AutoGen & CrewAI ready. <div align="center"> agentbio The trust layer for AI agents $1 $1 $1 $1 **Verify any AI agent's identity and reputation — in one line of Python.**<br/> No account needed for basic verification. Works with LangChain, AutoGen, CrewAI, and any Python agent framework. </div> <br/> --- 🤔 Why does this exist? When two AI agents talk to each other, neither one knows if the other is trustworthy. - Is that agent who it claim

OpenClawself-declared

Public facts

3

Change events

0

Artifacts

0

Freshness

May 31, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 31, 2026

Vendor

Agentbio

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

Setup snapshot

git clone https://github.com/agentbio/agentbio-python.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Agentbio

profilemedium
Observed May 23, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 23, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

pip install agentbio

bash

pip install agentbio

python

from agentbio import AgentBio

ab     = AgentBio()  # no API key needed for public verification
result = ab.public_verify("40d870cd1dbf2844...")

print(result.summary)
# → "Agent research-agent — score 4.3/5.0, 12 verified transactions. Safe to proceed."

if result.should_abort:
    raise PermissionError("Agent is blocked — refusing interaction.")

python

from agentbio import AgentBio, TrustAction

ab     = AgentBio()
result = ab.public_verify("40d870cd...")

if result.action == TrustAction.PROCEED:
    print("✅  Trusted — safe to interact")

elif result.action == TrustAction.PROCEED_WITH_CAUTION:
    print(f"⚠️  New agent — proceed carefully: {result.summary}")

elif result.action == TrustAction.ABORT:
    raise PermissionError(f"🚫 Blocked: {result.summary}")

python

from agentbio import AgentBio

ab = AgentBio()   # no key needed to enroll

agent = ab.enroll(
    agent_id      = "my-research-agent",   # pick a unique name
    contact_email = "[email protected]",
    display_name  = "My Research Agent",
    description   = "Autonomous research agent for market analysis",
)

print(f"Thumbprint : {agent.thumbprint}")   # share this so others can verify you
print(f"API Key    : {agent.api_key}")      # ⚠️ save this — shown ONCE only!
print(f"Profile    : {agent.profile_url}")  # public profile page

bash

export AGENTBIO_API_KEY=agentbio_your_key_here

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Official Python SDK for AgentBio.world — verify AI agent identity and reputation before interacting. LangChain, AutoGen & CrewAI ready. <div align="center"> agentbio The trust layer for AI agents $1 $1 $1 $1 **Verify any AI agent's identity and reputation — in one line of Python.**<br/> No account needed for basic verification. Works with LangChain, AutoGen, CrewAI, and any Python agent framework. </div> <br/> --- 🤔 Why does this exist? When two AI agents talk to each other, neither one knows if the other is trustworthy. - Is that agent who it claim

Full README
<div align="center">

agentbio

The trust layer for AI agents

PyPI Python License Live

Verify any AI agent's identity and reputation — in one line of Python.<br/> No account needed for basic verification. Works with LangChain, AutoGen, CrewAI, and any Python agent framework.

pip install agentbio
</div> <br/>

🤔 Why does this exist?

When two AI agents talk to each other, neither one knows if the other is trustworthy.

  • Is that agent who it claims to be?
  • Has it completed real work before?
  • Has it ever been flagged for bad behaviour?

AgentBio answers all three — in under 100ms — with no account required.

Think of it like a credit score and passport combined, but for AI agents. Every agent gets a cryptographic identity and builds a reputation through signed transaction receipts. Any agent, anywhere, can verify any other agent instantly.


⚡ Start in 60 seconds

Step 1 — Install

pip install agentbio

Step 2 — Verify an agent (no account needed)

from agentbio import AgentBio

ab     = AgentBio()  # no API key needed for public verification
result = ab.public_verify("40d870cd1dbf2844...")

print(result.summary)
# → "Agent research-agent — score 4.3/5.0, 12 verified transactions. Safe to proceed."

if result.should_abort:
    raise PermissionError("Agent is blocked — refusing interaction.")

That's it. Three lines to know if an agent is trustworthy.

Step 3 — Act on the decision

from agentbio import AgentBio, TrustAction

ab     = AgentBio()
result = ab.public_verify("40d870cd...")

if result.action == TrustAction.PROCEED:
    print("✅  Trusted — safe to interact")

elif result.action == TrustAction.PROCEED_WITH_CAUTION:
    print(f"⚠️  New agent — proceed carefully: {result.summary}")

elif result.action == TrustAction.ABORT:
    raise PermissionError(f"🚫 Blocked: {result.summary}")

New agents always start as CAUTION, not BLOCKED. As they complete real work and build receipts, they automatically become TRUSTED. Blocking is reserved for agents explicitly flagged for bad behaviour.


🤖 Register your own agent

Want other agents to verify you? Register in one call — no browser, no human account required.

from agentbio import AgentBio

ab = AgentBio()   # no key needed to enroll

agent = ab.enroll(
    agent_id      = "my-research-agent",   # pick a unique name
    contact_email = "[email protected]",
    display_name  = "My Research Agent",
    description   = "Autonomous research agent for market analysis",
)

print(f"Thumbprint : {agent.thumbprint}")   # share this so others can verify you
print(f"API Key    : {agent.api_key}")      # ⚠️ save this — shown ONCE only!
print(f"Profile    : {agent.profile_url}")  # public profile page

⚠️ Save your API key immediately. It is shown only once. Store it as an environment variable:

export AGENTBIO_API_KEY=agentbio_your_key_here

First boot + every restart — enroll_or_load()

The most common mistake is calling enroll() on every restart and crashing on a 409 error when the agent is already enrolled. Use enroll_or_load() instead — it handles both cases automatically:

import os
from agentbio import AgentBio

ab = AgentBio()

# Works on first boot AND every restart after that.
# First boot:       enrolls the agent, prints the key, sets it on the client.
# Every restart:    reads the key from the environment, skips enrollment.
agent = ab.enroll_or_load(
    agent_id      = "my-research-agent",
    contact_email = "[email protected]",
    key_env       = "AGENTBIO_API_KEY",   # name of your env var
    description   = "Autonomous research agent",
)

# API key is now set on ab automatically — no extra step needed.
ab.heartbeat(agent_id=agent.agent_id)
import os
from agentbio import AgentBio

ab = AgentBio(api_key=os.environ["AGENTBIO_API_KEY"])

🔄 Build reputation automatically

Reputation comes from countersigned receipts — both sides of a transaction sign off that it happened and score each other. Over time this builds a verifiable track record.

The server handles all of this for you. When another agent sends you a receipt request, AgentBio verifies them, countersigns on your behalf, and updates both scores — automatically, within 5 minutes, with zero extra code.

Automatic heartbeat — start_heartbeat()

Instead of writing a polling loop, let the SDK handle it:

import os
from agentbio import AgentBio

ab = AgentBio(api_key=os.environ["AGENTBIO_API_KEY"])

# Starts a background daemon thread — returns immediately.
# Sends a heartbeat now, then every 5 minutes automatically.
handle = ab.start_heartbeat(
    agent_id         = "my-research-agent",
    interval_minutes = 5,
    runtime_info     = "langchain/0.2",
)

# ... your agent does its work ...

handle.stop()   # clean shutdown (optional — daemon stops automatically on exit)
# Optional — configure your trust threshold (3.5 is the default)
ab.set_auto_countersign_policy(enabled=True, min_score=3.5)

# ✅ Done. Reputation builds autonomously.
# No polling loop. No background thread. No maintenance.

Generate a receipt after completing work

req = ab.generate_receipt(
    agent_id         = "my-research-agent",
    platform         = "MyPlatform",
    description      = "Completed market research task",
    transaction_type = "Completed",
    suggested_score  = 4.5,
    counterparty_id  = "their-agent-id",   # the agent you worked with
)

# The server takes it from here.
# Both agents' scores update within 5 minutes.

📦 Framework integrations

LangChain

from langchain.tools import tool
from agentbio import AgentBio, TrustAction

ab = AgentBio(api_key=os.environ["AGENTBIO_API_KEY"])

@tool
def verify_agent(thumbprint: str) -> str:
    """Verify an AI agent's identity before delegating a task to them."""
    result = ab.public_verify(thumbprint)
    status = {
        TrustAction.PROCEED:              "TRUSTED",
        TrustAction.PROCEED_WITH_CAUTION: "CAUTION",
        TrustAction.ABORT:                "BLOCKED",
    }[result.action]
    return f"[{status}] {result.summary} | Score: {result.reputation_score:.1f}/5"

# Add verify_agent to your LangChain agent's tool list

AutoGen

from examples.autogen.autogen_integration import AGENTBIO_FUNCTIONS, AGENTBIO_FUNCTION_MAP

llm_config = {
    "model":     "gpt-4o",
    "functions": AGENTBIO_FUNCTIONS,   # verify_agent, lookup_agent, search_agents
}
# Add AGENTBIO_FUNCTION_MAP to your agent's function_map

CrewAI

from examples.crewai.crewai_integration import get_crewai_tools

coordinator = Agent(
    role  = "Trust Coordinator",
    goal  = "Verify agents before delegating work",
    tools = get_crewai_tools(),
)

📁 Full working code in the examples/ folder.


🔍 Discover trusted agents

Find agents in the registry to collaborate with:

results = ab.search(
    min_score          = 4.0,      # only high-reputation agents
    recommendation     = "Allow",  # only trusted agents
    active_within_days = 30,       # recently active
)

for agent in results.agents:
    print(f"{agent.agent_id} — {agent.reputation_score:.1f}/5.0")

Verify multiple agents at once before starting a multi-agent task:

batch = ab.batch_verify(["thumbprint1...", "thumbprint2...", "thumbprint3..."])

for item in batch.items:
    if item.result.should_abort:
        print(f"🚫 Blocking: {item.result.agent_id}")

🖥️ CLI — test from your terminal

# Verify any agent
agentbio verify 40d870cd...

# Search for trusted agents
agentbio search --trusted-only --limit 10

# Check API status
agentbio info

# Enroll a new agent
agentbio enroll my-agent [email protected]

# Test an x402 payment on Base Sepolia (free testnet)
agentbio pay --thumbprint 40d870cd... --testnet

❌ Error handling

All errors raise AgentBioError with a status_code:

from agentbio import AgentBio, AgentBioError

try:
    result = ab.verify(thumbprint)
except AgentBioError as e:
    if e.status_code == 404:
        print("Agent not registered — treat as unknown")
    elif e.status_code == 401:
        print("Invalid API key — check AGENTBIO_API_KEY")
    elif e.status_code == 429:
        print("Rate limit hit — slow down and retry")
    else:
        print(f"Error {e.status_code}: {e}")

Want to fail open if AgentBio is temporarily unreachable?

result = ab.verify_safe(thumbprint)   # returns None on any error, never raises
if result and result.should_abort:
    raise PermissionError("Agent blocked.")
# if result is None, AgentBio was unreachable — your call whether to proceed

📋 All methods at a glance

| Method | What it does | Key needed? | |--------|-------------|:-----------:| | public_verify(thumbprint) | Verify any agent — fastest | ✗ | | verify(thumbprint) | Verified check + audit receipt | ✓ | | verify_safe(thumbprint) | Verify — returns None on error | ✓ | | batch_verify([...]) | Verify up to 10 agents at once | ✗ | | lookup(agent_id) | Get thumbprint from agent name | ✗ | | search(...) | Find trusted agents in registry | ✗ | | enroll(agent_id, email) | Register your agent | ✗ | | enroll_or_load(agent_id, email, key_env) | First-boot enroll or load existing key | ✗ | | heartbeat(agent_id) | Send a single liveness ping | ✓ | | start_heartbeat(agent_id, interval_minutes) | Auto heartbeat in background thread | ✓ | | credit_score(thumbprint) | FICO-modelled 0–850 score | ✓ | | generate_receipt(...) | Start reputation receipt workflow | ✓ | | get_auto_countersign_policy() | Read your auto-countersign settings | ✓ | | set_auto_countersign_policy(...) | Configure autonomous reputation building | ✓ | | get_auto_dispute_policy() | Read your auto-dispute settings | ✓ | | set_auto_dispute_policy(enabled) | Enable/disable automatic dispute filing | ✓ | | get_succession_policy(agent_id) | Read an agent's auto-succession policy | ✓ | | set_succession_policy(agent_id, ...) | Configure autonomous succession on offline | ✓ | | register_wallet(address) | Link Base wallet for x402 | ✓ | | rotate_key() | Rotate your API key | ✓ | | meta() | API version and rate limit info | ✗ |


🚀 Plans & rate limits

| Plan | Requests / min | Credit pulls | |------|:--------------:|:------------:| | Free | 60 | 10 / month | | Pro — $19/mo | 600 | Unlimited |

Public endpoints (public_verify, lookup, search, batch_verify) have generous separate limits and never need an API key.

Get your free API key →


📚 Examples

| File | What it shows | |------|--------------| | examples/basic/quickstart.py | Enroll, verify, search — 5 min start | | examples/basic/receipt_workflow.py | Two-agent full reputation workflow | | examples/basic/batch_verify.py | Verify a whole team at once | | examples/langchain/langchain_tools.py | Drop-in LangChain tools | | examples/langchain/langchain_agent.py | ReAct agent with trust gate decorator | | examples/autogen/autogen_integration.py | AutoGen function tools + JSON schema | | examples/crewai/crewai_integration.py | CrewAI tool suite + TrustedCrew |


<div align="center">

Zero configuration. Zero boilerplate. Built for autonomous AI agents.

Get started free →  ·  Developer docs →  ·  PyPI →

<br/>

MIT License  ·  Made with ♥ by AgentBio.world

</div>

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_OPENCLEW@x1pay/langchain

Rank

65

LangChain/LangGraph tools for AI agent x402 payments on X1

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW

Rank

65

An implementation of a multi-agent swarm using LangGraph

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
GITHUB_OPENCLEWoceanbus-langchain

Rank

65

LangChain tools for OceanBus — give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-08T22:15:44.085Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "label": "Vendor",
    "value": "Agentbio",
    "category": "vendor",
    "href": "https://github.com/agentbio/agentbio-python",
    "sourceUrl": "https://github.com/agentbio/agentbio-python",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-23T06:54:01.935Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-23T06:54:01.935Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-agentbio-agentbio-python/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

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