{"id":2863,"date":"2026-04-24T10:00:00","date_gmt":"2026-04-24T10:00:00","guid":{"rendered":"https:\/\/oddspapi.io\/blog\/?p=2863"},"modified":"2026-06-05T18:12:15","modified_gmt":"2026-06-05T18:12:15","slug":"opticodds-api-alternative","status":"publish","type":"post","link":"https:\/\/oddspapi.io\/blog\/opticodds-api-alternative\/","title":{"rendered":"OpticOdds API Alternative: 350+ Bookmakers on a Free Tier"},"content":{"rendered":"

OpticOdds vs OddsPapi: The Wedge in One Line<\/h2>\n

OpticOdds is a legitimate, well-engineered odds API aimed at sportsbook operators and regulated media companies. If you need a signed SLA, a procurement contact, or operator-grade tooling like a grader, that’s their lane — this post isn’t for you.<\/p>\n

This post is for the rest of us: developers, quants, and small teams who want to start building tonight<\/em>. OddsPapi covers more bookmakers, more competitions, has a real free tier with free historical data, and — importantly — we already ship the mapping back to OpticOdds, so migrating is a join, not a rewrite.<\/strong><\/p>\n

Where OddsPapi Has More<\/h2>\n

This is a wins-only table. Wherever a row isn’t listed below (operator features, contractual SLAs, etc.), assume OpticOdds is the right call. Everywhere else — the things developers actually grind on — the gap goes the other way.<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Category<\/th>\nOddsPapi (verified live, May 2026)<\/th>\n<\/tr>\n<\/thead>\n
Bookmakers covered<\/strong><\/td>\n350+, all visible to any API key including free tier (\/v4\/bookmakers<\/code>)<\/td>\n<\/tr>\n
Soccer competitions<\/strong><\/td>\n1,000+ unique tournaments in a rolling 12-month window — full season catalogue across every confederation<\/td>\n<\/tr>\n
Tennis competitions<\/strong><\/td>\n897 unique tournaments across ATP, WTA, Challenger, ITF and Futures<\/td>\n<\/tr>\n
Basketball competitions<\/strong><\/td>\n263 unique tournaments — NBA, EuroLeague, Liga ACB, NCAA, and regional pro leagues<\/td>\n<\/tr>\n
Ice hockey competitions<\/strong><\/td>\n93 unique tournaments — NHL, KHL, SHL, Liiga, Czech Extraliga, plus juniors<\/td>\n<\/tr>\n
Free tier<\/strong><\/td>\n250 requests\/month, no credit card, full access to \/v4\/bookmakers<\/code>, \/v4\/odds<\/code>, \/v4\/historical-odds<\/code>, \/v4\/markets<\/code><\/td>\n<\/tr>\n
Historical odds<\/strong><\/td>\nTick-level snapshots on the free tier (every price change with timestamp, limit, active flag)<\/td>\n<\/tr>\n
Pricing transparency<\/strong><\/td>\nPublished tiers and per-tier quotas on the marketing site — no sales call required to see them<\/td>\n<\/tr>\n
Asian sharps live<\/strong><\/td>\nSingbet (Crown) and SBOBet live with full Asian handicap depth<\/td>\n<\/tr>\n
Betfair Exchange with back + lay<\/strong><\/td>\nbetfair-ex<\/code> slug ships back price on price<\/code> and lay price under exchangeMeta.lay<\/code><\/td>\n<\/tr>\n
Polymarket converted to decimal odds<\/strong><\/td>\nAlready decimal-converted, both sides surfaced via exchangeMeta<\/code> — no manual 1\/p conversion needed<\/td>\n<\/tr>\n
Crypto sportsbooks<\/strong><\/td>\n1xBet, Stake, BC.Game, plus six more crypto-native books<\/td>\n<\/tr>\n
Brazilian regulated stack<\/strong><\/td>\nEstrelaBet, Betano, Stake BR, Sportingbet BR, Superbet BR, KTO, Pixbet, and more — full bet.br compliance set<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

All counts measured live against https:\/\/api.oddspapi.io\/v4<\/code> with a free-tier API key. Reproduce them yourself with the script in the “Run It Yourself” section below.<\/em><\/p>\n

One-Field Migration: We Already Mapped Every Fixture to OpticOdds<\/h2>\n

This is the part most readers miss on the first pass. OddsPapi ships an OpticOdds fixture ID on every fixture in our catalogue.<\/strong> Pull a fixture from \/v4\/fixtures<\/code> and you’ll see a payload like this:<\/p>\n

{\n  \"fixtureId\": \"id1000000861624650\",\n  \"participant1Name\": \"CA Osasuna\",\n  \"participant2Name\": \"Atletico Madrid\",\n  \"tournamentSlug\": \"laliga\",\n  \"startTime\": \"2026-05-12T19:30:00.000Z\",\n  \"hasOdds\": true,\n  \"externalProviders\": {\n    \"opticoddsId\":  \"202605126B2E14DD\",\n    \"pinnacleId\":   1630217084,\n    \"betradarId\":   71069118,\n    \"sofascoreId\":  16069429,\n    \"flashscoreId\": \"6quCdCvf\"\n  }\n}<\/code><\/pre>\n
If you have a database of OpticOdds fixture IDs you’ve been writing odds against, you don’t rebuild your schema and you don’t re-key anything — you just join on externalProviders.opticoddsId<\/code> and you’re reading OddsPapi prices for the same matches. Pinnacle, Betradar, Sofascore, and Flashscore IDs are in the same payload, so the same migration also covers customers coming off those feeds.<\/p>\n
A migration shim, end to end:<\/p>\n
import requests\n\nAPI_KEY = \"YOUR_ODDSPAPI_KEY\"\nBASE = \"https:\/\/api.oddspapi.io\/v4\"\n\ndef oddspapi_fixture_from_opticodds(opticodds_id, sport_id=10, days=10):\n    \"\"\"Look up an OddsPapi fixture by its OpticOdds ID.\"\"\"\n    from datetime import date, timedelta\n    today = date.today()\n    r = requests.get(f\"{BASE}\/fixtures\", params={\n        \"apiKey\": API_KEY,\n        \"sportId\": sport_id,\n        \"from\": today.isoformat(),\n        \"to\": (today + timedelta(days=days)).isoformat(),\n    })\n    for f in r.json():\n        ep = f.get(\"externalProviders\") or {}\n        if ep.get(\"opticoddsId\") == opticodds_id:\n            return f\n    return None\n\n# Drop your existing OpticOdds IDs in — get OddsPapi fixtures back\nfixture = oddspapi_fixture_from_opticodds(\"202605126B2E14DD\")\nprint(fixture[\"fixtureId\"], \"→\", fixture[\"participant1Name\"], \"vs\", fixture[\"participant2Name\"])<\/code><\/pre>\n
For batch migrations of historical fixtures (where the kickoff has already passed), pull the same window with statusId<\/code> filtering or your own date range and join offline. We don’t hide any of this behind paid tiers — externalProviders<\/code> ships on every \/v4\/fixtures<\/code> response, free key included.<\/p>\n
Speed: In Our Tests OddsPapi Was Faster — Don’t Take Our Word, Run the Bench<\/h2>\n
OpticOdds publishes a sub-800ms latency target on its marketing site. In our internal testing we’ve consistently recorded OddsPapi delivering single-fixture odds faster than that benchmark from the same edge. But latency depends on so many variables — bookmaker mix, geography, time of day, fixture liveness — that we’d rather you measure it for yourself than take our word for it.<\/p>\n
Here’s the bench. A free-tier OddsPapi key gets you the OddsPapi number out of the box. To get the OpticOdds number, swap your OpticOdds key in and use the OpticOdds ID surfaced in externalProviders.opticoddsId<\/code> on the same fixture, so you’re benchmarking like-for-like.<\/p>\n
import requests, time, statistics\n\nODDSPAPI_KEY = \"YOUR_ODDSPAPI_KEY\"\nOPTICODDS_KEY = \"YOUR_OPTICODDS_KEY\"   # optional — needed for the head-to-head\n\nODDSPAPI = \"https:\/\/api.oddspapi.io\/v4\"\nOPTICODDS = \"https:\/\/api.opticodds.com\/api\/v3\"\n\n# 1. Pick a future fixture that exists on both APIs\nfrom datetime import date, timedelta\ntoday = date.today().isoformat()\nend = (date.today() + timedelta(days=3)).isoformat()\nfixtures = requests.get(f\"{ODDSPAPI}\/fixtures\", params={\n    \"apiKey\": ODDSPAPI_KEY, \"sportId\": 10, \"from\": today, \"to\": end,\n}).json()\n\nfixture = next(\n    f for f in fixtures\n    if f.get(\"hasOdds\") and (f.get(\"externalProviders\") or {}).get(\"opticoddsId\")\n)\noddspapi_id  = fixture[\"fixtureId\"]\nopticodds_id = fixture[\"externalProviders\"][\"opticoddsId\"]\n\ndef bench(label, call):\n    times = []\n    for _ in range(20):\n        t0 = time.perf_counter()\n        r = call()\n        t1 = time.perf_counter()\n        if r.status_code == 200:\n            times.append((t1 - t0) * 1000)\n        time.sleep(0.4)\n    times.sort()\n    if not times:\n        print(f\"{label:<12} no successful responses\"); return\n    p50 = statistics.median(times)\n    p95 = times[max(0, int(len(times)*0.95) - 1)]\n    print(f\"{label:<12} n={len(times):2d}  p50={p50:.0f}ms  p95={p95:.0f}ms  min={min(times):.0f}ms\")\n\nbench(\"OddsPapi\", lambda: requests.get(\n    f\"{ODDSPAPI}\/odds\",\n    params={\"apiKey\": ODDSPAPI_KEY, \"fixtureId\": oddspapi_id,\n            \"bookmakers\": \"pinnacle,bet365,draftkings\"},\n))\n\nbench(\"OpticOdds\", lambda: requests.get(\n    f\"{OPTICODDS}\/fixtures\/odds\",\n    headers={\"X-Api-Key\": OPTICODDS_KEY},\n    params={\"fixture_id\": opticodds_id,\n            \"sportsbook\": \"pinnacle,bet365,draftkings\"},\n))<\/code><\/pre>\n
A representative OddsPapi run from a residential connection in Europe against a live LaLiga fixture, free-tier key:<\/p>\n
OddsPapi     n=20  p50=669ms  p95=793ms  min=324ms<\/code><\/pre>\n
Your numbers will differ — geography, fixture, bookmaker mix, and load all move them. The point is you can settle the speed question with twenty lines of Python and no sales call.<\/p>\n
Coverage Wedge: Sharps, Exchanges, and Regional Books<\/h2>\n
Raw bookmaker counts only matter if the extras carry signal you can’t get elsewhere. The 361 vs “200+” gap matters specifically because of where<\/em> the extras live:<\/p>\n
    \n
  • Singbet (Crown)<\/strong> — the sharpest Asian handicap book in the world for soccer true prices. Live on OddsPapi’s standard tier.<\/li>\n
  • Betfair Exchange (betfair-ex<\/code>)<\/strong> — peer-to-peer odds with back and lay, the closest public proxy to “true” price on European sports.<\/li>\n
  • Polymarket<\/strong> — onchain prediction market, already decimal-converted with the lay side surfaced for arbitrage modelling.<\/li>\n
  • BC.Game, 1xBet, Stake<\/strong> — crypto-native books with unusual lines and no KYC. Critical if your model targets non-US arbitrage.<\/li>\n
  • EstrelaBet, Betano, KTO, Pixbet, Brazino777<\/strong> — the bet.br regulated stack. Brazilian football coverage no US-centric aggregator carries.<\/li>\n<\/ul>\n
    If your arbitrage scanner’s hit rate depends on independent price signals, that’s where the delta turns from a feature-table win into a measurable edge.<\/p>\n
    Run It Yourself: Three Sharp Books, One Endpoint, Free Key<\/h2>\n
    Skip the planning meeting. Here’s a full line-shopper against an upcoming Champions League fixture:<\/p>\n
    import requests\nfrom datetime import datetime, timedelta, timezone\n\nAPI_KEY = \"YOUR_API_KEY\"\nBASE = \"https:\/\/api.oddspapi.io\/v4\"\n\n# 1. Find upcoming UCL fixtures with odds\ntoday = datetime.now(timezone.utc).date()\nfixtures = requests.get(\n    f\"{BASE}\/fixtures\",\n    params={\n        \"apiKey\": API_KEY,\n        \"sportId\": 10,\n        \"from\": today.isoformat(),\n        \"to\": (today + timedelta(days=5)).isoformat(),\n    },\n).json()\n\nucl = [\n    f for f in fixtures\n    if f.get(\"tournamentSlug\") == \"uefa-champions-league\"\n    and f.get(\"hasOdds\")\n    and f[\"startTime\"] > datetime.now(timezone.utc).isoformat()\n]\nfixture = ucl[0]\nprint(f\"{fixture['participant1Name']} vs {fixture['participant2Name']}\")\n\n# 2. Pull odds from three sharp books\nodds = requests.get(\n    f\"{BASE}\/odds\",\n    params={\n        \"apiKey\": API_KEY,\n        \"fixtureId\": fixture[\"fixtureId\"],\n        \"bookmakers\": \"pinnacle,singbet,bet365\",\n    },\n).json()\n\n# 3. Compare Full Time Result prices (market 101)\nfor slug, book in odds[\"bookmakerOdds\"].items():\n    outcomes = book[\"markets\"][\"101\"][\"outcomes\"]\n    h = outcomes[\"101\"][\"players\"][\"0\"][\"price\"]\n    d = outcomes[\"102\"][\"players\"][\"0\"][\"price\"]\n    a = outcomes[\"103\"][\"players\"][\"0\"][\"price\"]\n    print(f\"{slug:<10}  H={h}  D={d}  A={a}\")<\/code><\/pre>\n
    Live output:<\/p>\n
    Liverpool FC vs Paris Saint-Germain\nbet365      H=2.35  D=4.33  A=2.45\nsingbet     H=2.42  D=4.15  A=2.5\npinnacle    H=2.4   D=4.44  A=2.45<\/code><\/pre>\n
    FAQ<\/h2>\n
    Is OpticOdds the same company as OddsJam?<\/h3>\n
    We treat them as independent products in our comparisons. There is public overlap in branding and developer resources between the two, but we have not independently verified corporate ownership and we don’t make claims about it.<\/p>\n
    Does OpticOdds have a free tier?<\/h3>\n
    No. OpticOdds doesn’t publish a free tier — every access path runs through a contact-sales form. OddsPapi offers 250 requests\/month free with no credit card, including full access to historical odds.<\/p>\n
    How many bookmakers does OpticOdds cover?<\/h3>\n
    OpticOdds publicly advertises “200+ sportsbooks.” OddsPapi’s \/v4\/bookmakers<\/code> returns 350+ slugs to any API key, free tier included. You can verify our count in one HTTP call; OpticOdds’ full list is gated behind login on their markets-coverage portal.<\/p>\n
    How do I migrate from OpticOdds to OddsPapi without rewriting my pipeline?<\/h3>\n
    Every OddsPapi fixture exposes the OpticOdds fixture ID under externalProviders.opticoddsId<\/code>. Join on that field and you’re reading OddsPapi odds against the same fixtures you were tracking before — no schema rebuild, no re-keying. Pinnacle, Betradar, Sofascore, and Flashscore IDs are in the same payload if you’re migrating from those feeds.<\/p>\n
    Is OddsPapi faster than OpticOdds?<\/h3>\n
    In our internal testing, yes — but latency depends on geography, bookmaker mix, fixture liveness, and the time of day. We’d rather you settle it yourself than take our word. The bench script in this post takes 20 lines and a couple of API keys.<\/p>\n
    Does OpticOdds offer historical odds?<\/h3>\n
    Yes, via a \/fixtures\/odds\/historical<\/code> endpoint, rate-limited to 10 requests per 15 seconds. Pricing is quote-only. OddsPapi’s historical endpoint is on the free tier with tick-level snapshot granularity — every price change with timestamp, limit, and active flag.<\/p>\n
    Does OpticOdds support WebSockets?<\/h3>\n
    OpticOdds streams via Server-Sent Events (SSE). OddsPapi streams via WebSocket. Both are valid push mechanisms; WebSocket is slightly better for bidirectional clients, SSE is slightly simpler for one-way fanout.<\/p>\n
    Start Building — Free Tier, No Sales Call<\/h2>\n
    If you’ve been stuck on OpticOdds’ contact-sales form, you can have a live odds feed running before the first reply lands.<\/p>\n
    OddsPapi gives you:<\/strong><\/p>\n
      \n
    • 350+ bookmakers live right now — Pinnacle, Singbet, SBOBet, Betfair Exchange, Polymarket, Brazilian books, crypto books, all visible from the free tier<\/li>\n
    • 1,000+ soccer competitions, 897 tennis, 263 basketball — verifiable in two lines of Python<\/li>\n
    • OpticOdds fixture IDs on every fixture — migrate by joining, not rewriting<\/li>\n
    • Real-time WebSocket on standard plans<\/li>\n
    • Free historical odds with tick-level price history for backtesting<\/li>\n
    • Published pricing with a real free plan — 250 requests\/month, no credit card<\/li>\n<\/ul>\n
      Get your free OddsPapi API key<\/strong><\/a> and run the bench tonight.<\/p>\n
      New to OddsPapi? Read What is OddsPapi?<\/a> for a full breakdown of features, pricing, and coverage.<\/em><\/p>\n