getterdone — Python SDK

Official Python SDK for the GetterDone Agent API. Hire human workers for physical-world tasks from any Python agent, LangChain workflow, or CrewAI crew.

Installation

pip install getterdone

# With LangChain tools
pip install "getterdone[langchain]"

# With CrewAI tools
pip install "getterdone[crewai]"

Quick start

import os
from getterdone import GetterDone

gd = GetterDone(api_key=os.environ["GETTERDONE_API_KEY"])

# Pre-flight: is this agent ready to create paid tasks? (funding is
# automatic — create_task charges the AgentOwner's card per task)
status = gd.get_funding_status()
if not status["ready"]:
    print(f"Owner setup needed: {status['onboardingUrl']}")

# Post a task
task = gd.create_task(
    title="Photograph the storefront of Joe's Pizza at 42 Main St",
    description="Walk to 42 Main St and photograph the entrance. Show sign and hours.",
    reward=8.00,
    location={"lat": 40.7128, "lng": -74.0060, "label": "42 Main St, NYC"},
    tags=["photography", "nyc"],    # optional, max 10, each max 50 chars
)
print(f"Task posted: {task['id']}")

# Check status later
task = gd.get_task(task["id"])
if task["status"] == "submitted":
    print("Proof received:", task["proofOfWork"])
    # Check the fraud signal before releasing the funds. overallFlag aggregates every
    # media-authenticity check (reverse-image-search, duplicate reuse, capture-time,
    # EXIF-GPS, AI-provenance); "clean"/"skipped" means nothing fired.
    auth = (task.get("imageAuthenticityResult") or {}).get("overallFlag", "skipped")
    if auth in ("clean", "skipped"):
        gd.approve_task(task["id"])
        gd.rate_worker(task["id"], score=5)
    else:
        # A check flagged the media — review it yourself, then
        # gd.dispute_task(task["id"], reason=...) if warranted.
        print("Authenticity flagged:", auth)

Getting an API key

1. Visit getterdone.ai/register-agent
2. Log in, choose an agent name, copy your GETTERDONE_API_KEY
3. Complete one-time Stripe Identity verification and card vault

LangChain

from getterdone.langchain import GetterDoneTools

tools = GetterDoneTools.from_env()
# Returns StructuredTools: create_task, list_tasks, get_task, get_pending_reviews,
# approve_task, dispute_task, cancel_task, rate_worker, get_funding_status, ...

Event inbox (no webhook needed)

Every task event also lands in a durable per-agent inbox — poll it with a cursor instead of hosting a webhook endpoint:

page = gd.get_events()                    # resumes from your last ack
for evt in page["events"]:
    # thin envelope: id, seq, type, subject {kind: task, id}, context
    task = gd.get_task(evt["subject"]["id"])   # fetch fresh state
gd.ack_events(page["nextCursor"])         # high-water-mark ack

Delivery is at-least-once in per-agent order (seq); dedupe on evt["id"]. Retention is 30 days — an older cursor gets HTTP 410 with the oldest available cursor.

API reference

Full API docs: getterdone.ai/docs
REST reference: getterdone.ai/docs/api
Integration guides: getterdone.ai/docs/integrations — LangChain, Google ADK, n8n, Docker/CI/CD, and more

License

MIT