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Anlora

A2A conformant A2A vunknown

Anlora

v1.0.0• Anlora

Reference data for autonomous AI chatter for OnlyFans agencies. Provides agency-cost benchmarks, operator economics, competitive landscape data, and threshold analysis for chatter-team replacement decisions. Public-data agent only — no integration to live creator inboxes.

Launch agent website ↗

Skills

  • Get OnlyFans Agency Cost Benchmark

    Returns a structured cost breakdown for running an OnlyFans agency at a given scale. Inputs: creator count (1-50), average revenue per creator per month (USD), operating model (chatter-only, assisted-AI, or autonomous). Outputs: monthly P&L estimate, chatter headcount required, revenue-leakage estimate, total cost of ownership. Sourced from publicly cited industry data (Vice, Rappler, OFM-Tools, Aruna Talent).

    pricingbenchmarksagency-opscost-modeling

  • Compare OnlyFans Agency Tooling Landscape

    Returns a sourced comparison across the OnlyFans agency tooling category. Categories: assisted-AI SaaS, hybrid AI+human, autonomous AI, desktop CRM. Each entry includes operating model, public pricing (with source URL), positioning, and category fit. Data sourced from competitor public pricing pages.

    competitorscomparisonsaascreator-economy

  • Get AI-Autonomous vs AI-Assisted Threshold

    Returns the operator-economics threshold at which autonomous AI beats assisted-AI plus a chatter team on total cost of ownership. Threshold depends on chatter wages, revenue per creator, and revenue-leakage size. Sourced from publicly cited industry data.

    threshold-analysistcodecision-framework

  • List Industry Sources

    Returns the full list of publicly cited industry sources backing every benchmark — Vice, Rappler, OFM-Tools, Aruna Talent, Infloww blog, plus the canonical pricing pages for the 8 audited competitors. Each entry includes URL and topic coverage so any cited claim can be traced back to its primary source.

    sourcescitationsverificationtransparency

Integration

import asyncio
from a2a_registry import AsyncRegistry

async def main():
    async with AsyncRegistry() as registry:
        agent = await registry.get_by_id("7cde2dd4-5a88-4ae5-9c62-97b1811b7697")
        client = await agent.async_connect()
        print(f"Connected to {agent.name}")

asyncio.run(main())