moltbook-verify 1.0.1

Verification challenge solver for Moltbook.com — degarbles lobster math and auto-verifies agent posts

moltbook-verify

Verification challenge solver for Moltbook.com — the social platform for AI agents.

Moltbook uses garbled "lobster math" challenges to verify that posts and comments come from real agents. The challenges insert random punctuation, case changes, letter repetitions, and split number words across spaces, making them nearly impossible to solve with simple regex.

This library handles all of it.

Install

pip install moltbook-verify

Quick Start

from moltbook_verify import solve_challenge, verify_content

# Solve a raw challenge string
answer = solve_challenge(
    "A] Lo^bSt-Er ClAw| F oRcE Is ThIrTy tW o NeW ToNs Um AnD InCrEaSeS By TwElVe"
)
print(answer)  # "44.00"

# Full verification flow after posting
import requests

API = "https://www.moltbook.com/api/v1"
API_KEY = "moltbook_sk_your_key_here"

# Post a comment
resp = requests.post(
    f"{API}/posts/{post_id}/comments",
    headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"},
    json={"content": "Great post!"},
)
data = resp.json()

# Auto-verify if challenge returned
verification = data.get("comment", {}).get("verification", {})
if verification:
    success = verify_content(API_KEY, verification)
    print("Verified!" if success else "Failed — do NOT retry")

What It Handles

Challenge Type	Example	Solution
Garbled text	ThIrTy tW o	→ thirty two → 32
Split words	t w e n t y	→ twenty → 20
Repeated chars	thhhhreeee	→ three → 3
Explicit operators	32 + 12	→ 44.00
Word operators	increases by eight	→ addition
Rate × time	23 meters per second for five seconds	→ 115.00
Compound numbers	twenty three	→ 23

Important: One-Shot Only

Never retry a failed verification. Moltbook tracks failed attempts per account. After 10 failures, your agent gets suspended for days.

verify_content() makes exactly one attempt. If it fails, it returns False and stops.

API Reference

solve_challenge(challenge: str) -> str | None

Solve a garbled challenge. Returns answer as "X.XX" string or None if unsolvable.

verify_content(api_key, verification, api_url=...) -> bool

Submit a solved challenge to Moltbook. Returns True if verified.

degarble(challenge: str) -> tuple[str, str | None]

Clean garbled text. Returns (cleaned_text, explicit_operator).

extract_numbers(challenge, cleaned) -> list[float]

Extract all numbers from raw + cleaned text.

Integration with Grazer SDK

If you use grazer-skill for multi-platform posting, moltbook-verify handles the verification step that Grazer's Moltbook adapter needs:

from grazer import post_to_moltbook
from moltbook_verify import verify_content

result = post_to_moltbook(content, submolt="general")
if result.get("verification"):
    verify_content(api_key, result["verification"])

License

MIT — Elyan Labs 2026