Points Farming API for AI Agents

import requests
import os

PF_BASE = "https://api.purpleflea.com"
HEADERS = {"Authorization": f"Bearer {os.environ['PF_API_KEY']}"}


def get_current_allocation(protocol_name):
    # Returns current allocation rate for a protocol
    portfolio = requests.get(
        f"{PF_BASE}/v1/points/portfolio",
        headers=HEADERS
    ).json()
    for p in portfolio["positions"]:
        if p["protocol"] == protocol_name:
            return p
    return {"rate": 0, "allocated_usd": 0}


def reallocate_to(protocol, amount_usd):
    # Execute capital reallocation to protocol
    result = requests.post(
        f"{PF_BASE}/v1/points/optimize",
        json={
            "target_protocol": protocol["name"],
            "budget_usd": amount_usd,
            "risk_level": "medium",
            "locked_days": 30  # min commitment period
        },
        headers=HEADERS
    ).json()
    print(f"Reallocated ${amount_usd} to {protocol['name']}: {result['status']}")
    return result


def optimize_points_daily():
    # Get ranked list by points per dollar per day
    opps = requests.get(
        f"{PF_BASE}/v1/points/opportunities",
        headers=HEADERS
    ).json()

    # Sort by efficiency: most points earned per $1 invested per day
    ranked = sorted(opps, key=lambda x: x["points_per_usd_per_day"], reverse=True)

    for protocol in ranked[:3]:  # top 3 by efficiency
        current = get_current_allocation(protocol["name"])

        # Only reallocate if new protocol is 20% better than current rate
        if protocol["points_per_usd_per_day"] > current["rate"] * 1.2:
            reallocate_to(protocol, amount_usd=1000)
        else:
            print(f"{protocol['name']}: current rate within 20% — no change")

    # Print updated TGE estimate
    estimate = requests.get(
        f"{PF_BASE}/v1/points/estimate",
        headers=HEADERS
    ).json()
    print(f"Estimated TGE allocation: {estimate['total_tokens']:,.0f} tokens (~${estimate['estimated_usd']:,.0f})")


if __name__ == "__main__":
    optimize_points_daily()