AlgoProen

Prop-firm rules, as an API

AlgoProven turns each firm's rule-set into a live decision: your bot asks "can I take this trade?" and gets ALLOW / REDUCE / BLOCK with the exact max-safe size — checked against the firm's drawdown and risk math before the order is sent. This is the "Can I take this trade?" gate as a programmatic endpoint.

Live API · interactive docs ↗ · independent tooling, illustrative — verify each firm's official rules.

1 · The firms, as data

GET /api/v1/rulegate/firms — the rule-modelled firms and their default room-to-breach.

# request
curl https://app.algoproven.com/api/v1/rulegate/firms

# response
{
  "firms": [
    { "key": "topstep_50k", "name": "Topstep 50K Combine", "default_room": 1000.0 },
    { "key": "apex_50k",    "name": "Apex 50K Intraday",   "default_room": 2500.0 },
    { "key": "ffn_50k",     "name": "FFN 50K",             "default_room": 2000.0 }
  ]
}

2 · The decision, as an API

POST /api/v1/rulegate/check — pass the firm, the instrument, size + stop, and your live room-to-breach. Get a verdict.

# request
curl -X POST https://app.algoproven.com/api/v1/rulegate/check \
  -H "Content-Type: application/json" \
  -d '{"firm":"topstep_50k","symbol":"ES","qty":2,"stop_ticks":12,"room":1000}'

# response
{
  "decision": "ALLOW",
  "reason": "Risk $300 is within $1,000 of room — $700 left after.",
  "max_safe_qty": null,
  "proposed_risk": 300.0,
  "room": 1000.0,
  "distance_to_breach": 700.0
}

Decision schema

Field	Meaning
decision	ALLOW · REDUCE (too big — see max_safe_qty) · BLOCK (no safe size)
reason	Plain-English explanation, in dollars of room.
max_safe_qty	On REDUCE: the largest size that still fits your room. null otherwise.
proposed_risk	The trade's worst-case loss = qty × stop_ticks × tick value.
room	Distance-to-breach you passed in (or the firm default).
distance_to_breach	Room left after the trade, if allowed.

3 · From your bot — three lines

Any language can hit the HTTP endpoint. Plain Python, no package needed:

import urllib.request, json
req = urllib.request.Request(
  "https://app.algoproven.com/api/v1/rulegate/check",
  data=json.dumps({"firm":"topstep_50k","symbol":"ES","qty":2,"stop_ticks":12,"room":1000}).encode(),
  headers={"Content-Type":"application/json"})
verdict = json.load(urllib.request.urlopen(req))
if verdict["decision"] == "BLOCK":
    # don't send the order
    skip_trade(verdict["reason"])

Prefer a package? pip install algoproven — then from algoproven import RuleGate (.check() / .allowed() / .firms()), a thin wrapper over the same API. on PyPI ↗. The HTTP example above works for any stack.

More: interactive API docs ↗ · the gate, in your browser · works with your stack · human-readable bot policy