← Back to search
40
Partial
Agentic Readiness Score
+25 llms.txt +15 structured API missing +20 ai-plugin
Raise this score to 95+
We ship the 6-file GEO uplift as a pull request against your repo. Flat fee, turnaround under 72 hours.
Fix this for $199 →
developer llms-txtapishippingnotificationsmessagingautomationdevtools

Agentic Signals

📄
Found
🤖
ai-plugin.json
Not found
📖
OpenAPI Spec
Not found
🔗
Structured API
Found
🛡
Not specified
🏷
Schema.org Markup
Not found
MCP Server
Not found

Embed this badge

Show off your agentic readiness — the badge auto-updates when your score changes.

Agentic Ready 40/100

            

llms.txt Content

# AgentSIM > OTP sessions and delivery diagnostics for browser agents and auth test flows. Provision a programmable US phone number, wait for SMS, parse the OTP, record the outcome, and release — over SDK, REST, webhooks, or MCP. ## What It Does AgentSIM is the OTP session component of the modern agent stack. It handles US number pooling, inbound SMS reception, multi-stage OTP parsing, webhook delivery, and outcome tracking so AI agents, CI jobs, and QA harnesses can run controlled SMS OTP workflows without a human watching an inbox. One session = one provision, one OTP attempt, one observed outcome, one release. $0.99/session after a 10-session free tier. ## Where It Works (Today) AgentSIM is appropriate for owned/controlled OTP workflows and services empirically known to accept programmable / agent-pooled US numbers. The empirical support map is maintained in docs/supported-services.md in the repo. **Do not assume support by default.** Current hard evidence: Google rejects the current number class. Meta/Facebook mobile reaches SMS code entry but delivery is unproven. Stripe, Render, Discord, and GitHub hit anti-abuse gates before a phone verdict in blind automation. Auth0's self-serve flow is email-first and not a useful OTP proof target. If you are building an agent that needs OTP for a strict or high-risk service, verify that target first; AgentSIM may not be the right tool today. ## Quick Start ```bash pip install agentsim # or npm install @agentsim/sdk ``` ```python from agentsim import AgentSIM agentsim = AgentSIM(api_key="...") session = await agentsim.provision({"country": "US", "service_url": "https://staging.example.com/login"}) otp = await session.wait_for_otp(timeout=30_000) # otp.otp_code → "847291" # otp.sender → "CONTROLLED_AUTH" ``` ## Product - [Integrations](https://agentsim.dev/#integrations): Works with Claude Code, LangChain, Vercel AI SDK, Cursor, Windsurf, and LlamaIndex - [Browser-Agent OTP QA](https://agentsim.dev/use-cas