Z87

GET /api/chess/position?moves=e4%20e5%20Nf3&limit=1

{
  "games": [
    {
      "black": "Ukraine-team-creator",
      "black_elo": 3111,
      "eco": "C40",
      "game_id": 155475799400,
      "opening": "King's Knight Opening",
      "ply_count": 3,
      "result": "1-0",
      "white": "MayhemPI_cluster",
      "white_elo": 3220
    }
  ],
  "limit": 1,
  "offset": 0,
  "total": 66486348
}

GET /api/companies_uk/search?q=name:google&limit=1

{
  "companies": [
    {
      "number": "12372612",
      "name": "CAR GOOGLE LTD",
      "postcode": "UB8 1JG",
      "town": "UXBRIDGE",
      "status": "Active",
      "category": "Private Limited Company",
      "incorporation_date": "2019-12-09",
      "sic_codes": ["45111 - Sale of new cars and light motor vehicles"]
    }
  ],
  "total": 30
}

# Change tracking — same endpoint, same index:
# /search?q=kind:new sic:software                       — new software companies
# /search?q=to_town:london from_town:manchester         — relocated Manchester → London
# /search?q=from_status:active to_status:liquidation    — entering liquidation
# /search?q=changed:mortgages name:holdings             — mortgage activity at holdings cos
# /search?q=kind:dissolved postcode:EC1V                — dissolved in EC1V
# /search?q=to_status:active category:community         — community interest cos becoming active

GET /api/companies_uk/number/11743365

{
  "company": {
    "number": "11743365",
    "name": "!BIG IMPACT GRAPHICS LIMITED",
    "postcode": "EC1V 2NX",
    "status": "Active",
    "changes": [
      {
        "snapshot": "2026-03",
        "kind": "changed",
        "fields": [
          {"field": "address_line1", "from": "COMPANIES HOUSE DEFAULT ADDRESS", "to": "124 CITY ROAD"},
          {"field": "town", "from": "CARDIFF", "to": "LONDON"},
          {"field": "postcode", "from": "CF14 8LH", "to": "EC1V 2NX"}
        ]
      }
    ]
  }
}

GET /api/holidays/search?q=name:christmas&limit=2

{
  "holidays": [
    {
      "date": "2026-12-25",
      "name": "Christmas Day",
      "local_name": "Nadal",
      "country_code": "AD",
      "types": ["Public"],
      "nationwide": true,
      "fixed": false
    },
    {
      "date": "2027-12-25",
      "name": "Christmas Day",
      "local_name": "Nadal",
      "country_code": "AD",
      "types": ["Public"],
      "nationwide": true,
      "fixed": false
    }
  ],
  "total": 294
}

GET /api/holidays/country/US?year=2026&limit=2

{
  "country_code": "US",
  "holidays": [
    {"date": "2026-01-01", "name": "New Year's Day", "nationwide": true},
    {"date": "2026-01-19", "name": "Martin Luther King, Jr. Day", "nationwide": true}
  ],
  "total": 16
}

GET /api/holidays/date/2026-12-25?limit=3

{
  "date": "2026-12-25",
  "holidays": [
    {"name": "Christmas Day", "country_code": "AD"},
    {"name": "Christmas Day", "country_code": "AL"},
    {"name": "Christmas Day", "country_code": "AR"}
  ],
  "total": 107
}

GET /api/holidays/upcoming?country=US&limit=2

{
  "date": "2026-04-09",
  "tz": "America/New_York",
  "country_code": "US",
  "holidays": [
    {"date": "2026-05-25", "name": "Memorial Day", "nationwide": true},
    {"date": "2026-06-19", "name": "Juneteenth", "nationwide": true}
  ],
  "total": 26
}

GET /api/countries/rank?indicator=gdp_per_capita_usd&limit=1

{
  "entries": [
    {
      "country": "Monaco",
      "iso3": "MCO",
      "rank": 1,
      "value": 256580.515122745
    }
  ],
  "indicator": "gdp_per_capita_usd",
  "limit": 1,
  "offset": 0,
  "total": 223
}

GET /api/design/search?q=style:brutalist&limit=1

{
  "designs": [
    {
      "id": 57,
      "category": "Web App / Dashboard",
      "style": "Brutalist",
      "tags": ["brutalist", "code-review", "diff-view", "..."],
      "summary": "Raw brutalist code review tool with three rigid columns..."
    }
  ],
  "total": 46
}

GET /api/design/details/0

{
  "design": {
    "id": 0,
    "category": "Web App / Dashboard",
    "style": "Bauhaus Minimal",
    "tags": ["bauhaus", "server-monitoring", "..."],
    "summary": "Server monitoring dashboard with 4×3 server tile grid...",
    "prompt": "Design a server monitoring dashboard...",
    "html": "https://z87.ai/api/design/details/0/example.html",
    "screenshot": "https://z87.ai/api/design/details/0/example.png"
  }
}

GET /api/food/recipes/filter?cuisine=italian&is_vegetarian=true&limit=1

{
  "limit": 1,
  "offset": 0,
  "recipes": [
    {
      "cuisine": "italian",
      "difficulty": "easy",
      "id": 70,
      "is_vegetarian": true,
      "taste_profile": { "umami": 7, "fat": 7, "salty": 6, "sour": 4 },
      "title": "Swiss Chard Pasta With Toasted Hazelnuts and Parmesan",
      "total_time_minutes": 40
    }
  ],
  "total": 815
}

GET /api/gbif/search?q=canonical_name:canis+lupus&limit=1

{
  "limit": 1,
  "offset": 0,
  "taxa": [
    {
      "canonical_name": "Canis lupus lupus",
      "id": 7193871,
      "kingdom": "Animalia",
      "rank": "subspecies",
      "status": "accepted"
    }
  ],
  "total": 44
}

GET /api/gutenberg/books?q=title:pride+prejudice&limit=1

{
  "books": [
    {
      "id": 1342,
      "title": "Pride and Prejudice",
      "author": "Jane Austen",
      "genre": ["fiction", "romance"],
      "mood": ["romantic", "humorous"],
      "rating": 5,
      "importance": 5,
      "era": "romantic",
      "five_words": "Witty woman outwits her prejudice"
    }
  ],
  "total": 3
}

GET /api/home/search?q=name:motion+sensor&limit=1

{
  "products": [
    {
      "id": 5681,
      "name": "IWATSU Motion Sensor",
      "vendor": "IWATSU",
      "model": "Motion Sensor",
      "category": "sensor",
      "protocols": ["zwave"]
    }
  ],
  "total": 262
}

GET /api/jokes/random

{
  "joke": {
    "body": "What's Canada's spy agency?\nThe CI, eh?",
    "category": "wordplay",
    "id": 16672,
    "offensive_score": 0,
    "rating": "clean",
    "title": "What's Canada's spy agency?",
    "topics": ["canada"]
  }
}

GET /api/mtg/cards/search?q=name:lightning+bolt&limit=1

{
  "cards": [
    {
      "cmc": 1.0,
      "id": 14351,
      "mana_cost": "{R}",
      "name": "Lightning Bolt",
      "rarity": "Common",
      "type_line": "Instant"
    }
  ],
  "limit": 1,
  "offset": 0,
  "total": 1
}

GET /api/music/artists/search?q=name:radiohead&limit=1

{
  "artists": [
    {
      "country": "GB",
      "genres": ["alternative rock", "art rock", "electronic", "experimental"],
      "id": 46,
      "listen_count": 5711195,
      "listener_count": 21322,
      "name": "Radiohead",
      "type": "Group"
    }
  ],
  "limit": 1,
  "offset": 0,
  "total": 1
}

GET /api/music/suggest?artists=46,1,45&limit=3

{"like": ["Radiohead", "Massive Attack", "Portishead"],
 "suggestions": [
   {"name": "Pixies", "score": 0.999},
   {"name": "Moby", "score": 0.999},
   {"name": "Blur", "score": 0.999}],
 "type": "artists", "mode": "similar", "pool": "popular"}

# modes: similar (default), opposite, explore
GET /api/music/suggest?artists=46,1&mode=opposite&limit=5

# like/dislike — refine with negative signal
GET /api/music/suggest?like=46,1&dislike=40&limit=5

# explore — orthogonal to both likes and dislikes
GET /api/music/suggest?like=46,1&dislike=40&mode=explore&limit=5

# discovery pools: popular (default), known, deep, obscure
GET /api/music/suggest?artists=46,1&pool=deep&limit=5
GET /api/music/suggest?songs=500,600&pool=obscure&limit=5

GET /api/movies/search?q=genre:horror+language:en&min_rating=8&limit=3

{
  "movies": [
    {"id": 268, "title": "Alien", "year": 1979,
     "genres": ["Horror", "Science Fiction"], "tmdb_rating": 8.16},
    {"id": 423, "title": "The Shining", "year": 1980,
     "genres": ["Horror", "Thriller"], "tmdb_rating": 8.22},
    {"id": 542, "title": "Psycho", "year": 1960,
     "genres": ["Horror", "Mystery", "Thriller"], "tmdb_rating": 8.41}
  ],
  "total": 334
}

# /search?q=director:nolan — 75 results
# /search?q=cast:dicaprio+decade:2010s
# /search?q=keyword:time+travel&min_rating=7

GET /api/movies/vibe?q=cerebral:0.9+dark:0.8+tension:0.9&min_rating=7&limit=3

{
  "movies": [
    {"id": 51958, "title": "La table", "score": 0.506,
     "genres": ["Drama", "Thriller"], "tmdb_rating": 8.0},
    {"id": 96814, "title": "Inside", "score": 0.495,
     "genres": ["Drama", "Horror", "Mystery"], "tmdb_rating": 7.01}
  ],
  "query": {"cerebral": 0.9, "dark": 0.8, "tension": 0.9}
}

# /vibe?q=feel_good:0.9+humor:0.8 — feel-good comedies
# /vibe?q=romantic:0.8+tragic:0.7 — tragic love stories
# /vibe?q=family_friendly:0.9+humor:0.7 — family movie night

GET /api/movies/similar/19?limit=3  (Inception)

{
  "movie": {"id": 19, "title": "Inception", "year": 2010},
  "similar": [
    {"id": 903, "title": "Oblivion", "score": 0.962,
     "shared_taste": ["visual_style", "world_building", "mystery"]},
    {"id": 1201, "title": "Source Code", "score": 0.961,
     "shared_taste": ["tension", "cerebral", "pacing_speed", "complexity"]},
    {"id": 1232, "title": "Minority Report", "score": 0.959,
     "shared_taste": ["tension", "visual_style", "world_building", "cerebral"]}
  ]
}

GET /api/movies/recommend?movies=inception,the+dark+knight&limit=3

{
  "like": [{"id": 19, "title": "Inception"},
           {"id": 18, "title": "The Dark Knight"}],
  "suggestions": [
    {"id": 317, "title": "The Dark Knight Rises", "score": 0.977,
     "shared_taste": ["tension", "action_intensity", "redemption_arc"]},
    {"id": 1232, "title": "Minority Report", "score": 0.976,
     "shared_taste": ["tension", "visual_style", "world_building", "cerebral"]},
    {"id": 18472, "title": "Batman: The Long Halloween, Part Two", "score": 0.970,
     "shared_taste": ["tension", "complexity", "mystery"]}
  ]
}

# modes: similar (default), opposite, explore
# /recommend?like=inception&dislike=transformers
# /recommend?movies=inception&pool=deep — deep cuts only

GET /api/podcast/search?q=title:coin+category:technology&limit=1

POST /api/solve/solve
{"expr": "F = m * v^2 / r",
 "known": {"m": [5, "kg"], "v": [36, "km/h"], "r": [200, "cm"]},
 "solve": "F"}

{"result": {"symbol": "F", "value": 250.0, "unit": "N"}, "verified": true}

POST /api/solve/solve-system
{"equations": ["v = u + a*t", "s = u*t + 0.5*a*t^2"],
 "known": {"s": 100, "u": 0, "t": 5}, "solve": ["a", "v"]}

{"results": [{"symbol": "a", "value": 8.0}, {"symbol": "v", "value": 40.0}],
 "verified": true}

POST /api/solve/stats
{"data": [2, 4, 4, 4, 5, 5, 7, 9]}

{"count": 8, "mean": 5.0, "median": 4.5, "stddev": 2.138,
 "skewness": 0.656, "kurtosis": -0.152,
 "percentiles": {"p5": 2.7, "p25": 4.0, "p50": 4.5, "p75": 5.5, "p95": 8.4},
 "outliers": [], "normality": {"statistic": 0.12, "p_value": 0.72},
 "histogram": [{"low": 2.0, "high": 2.35, "count": 1}, ...]}

POST /api/solve/stats/compare
{"a": [23, 25, 28, 30, 32], "b": [20, 22, 24, 26, 28]}

{"welch_t": {"t_statistic": 1.668, "p_value": 0.135, "cohens_d": 1.05,
  "mean_difference": 3.6, "confidence_interval_95": [-1.46, 8.66]},
 "mann_whitney": {"u_statistic": 5.0, "p_value": 0.15}}

GET /api/solve/stats/proportion?x1=52&n1=100&x2=45&n2=100

{"z_statistic": 0.99, "p_value": 0.32, "p1": 0.52, "p2": 0.45,
 "difference": 0.07, "confidence_interval_95": [-0.07, 0.21]}

POST /api/solve/stats/portfolio
{"returns": [0.01, -0.02, 0.015, 0.005, -0.01, 0.02],
 "risk_free_rate": 0.02, "periods_per_year": 252}

{"sharpe_ratio": 1.42, "sortino_ratio": 2.18, "max_drawdown": 0.02,
 "var_95": 0.02, "cvar_95": 0.02, "win_rate": 0.667,
 "annualized_return": 0.63, "annualized_volatility": 0.22}

POST /api/solve/stats/moving-average
{"data": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "window": 3, "method": "sma"}

{"method": "sma", "window": 3, "values": [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]}

GET /api/solve/stats/power?effect_size=0.5&alpha=0.05&power=0.8

{"required_n": 32, "effect_size": 0.5, "alpha": 0.05, "power": 0.8}

POST /api/solve/regression
{"x": [1, 2, 3, 4, 5], "y": [2.1, 3.9, 6.2, 7.8, 10.1], "model": "linear"}

{"model": "linear", "coefficients": [0.05, 1.99], "r_squared": 0.997,
 "formula": "y = 0.050000 + 1.990000 * x"}

POST /api/solve/finance/npv
{"rate": 0.10, "cash_flows": [-1000, 300, 420, 680]}

{"npv": 130.73, "rate": 0.1}

POST /api/solve/finance/amortization
{"principal": 200000, "annual_rate": 0.06, "periods": 360}

{"payment": 1199.10, "total_interest": 231676.38,
 "schedule": [{"period": 1, "payment": 1199.10, "principal": 199.10,
               "interest": 1000.0, "balance": 199800.90}, ...]}

POST /api/solve/finance/black-scholes
{"spot": 100, "strike": 100, "time": 1.0, "rate": 0.05, "volatility": 0.20}

{"call_price": 10.45, "put_price": 5.57,
 "call_delta": 0.637, "put_delta": -0.363,
 "gamma": 0.019, "vega": 0.375}

POST /api/solve/graph/shortest-path
{"edges": [["A","B",1], ["B","C",2], ["A","C",10]], "from": "A", "to": "C"}

{"distance": 3.0, "path": ["A", "B", "C"]}

POST /api/solve/monte-carlo/simulate
{"distribution": {"type": "normal", "mean": 100, "stddev": 15}, "n": 10000}

{"n": 10000, "mean": 100.03, "stddev": 14.94,
 "percentiles": {"p5": 75.4, "p25": 90.0, "p50": 100.1, "p75": 109.9, "p95": 124.9},
 "histogram": [{"low": 44.6, "high": 50.2, "count": 5}, ...]}

POST /api/solve/monte-carlo/expression
{"variables": {"price": {"type": "uniform", "min": 90, "max": 110},
               "qty": {"type": "normal", "mean": 100, "stddev": 10}},
 "expression": "price * qty", "n": 10000}

{"n": 10000, "mean": 9982.5, "stddev": 1144.0,
 "percentiles": {"p5": 8128, "p50": 9953, "p95": 11901}}

POST /api/solve/matrix/determinant
{"matrix": [[6, 1, 1], [4, -2, 5], [2, 8, 7]]}

{"determinant": -306.0, "size": 3}

POST /api/solve/matrix/inverse
{"matrix": [[4, 7], [2, 6]]}

{"matrix": [[0.6, -0.7], [-0.2, 0.4]], "size": 2}

POST /api/solve/matrix/multiply
{"a": [[1, 2], [3, 4]], "b": [[5, 6], [7, 8]]}

{"matrix": [[19, 22], [43, 50]], "rows": 2, "cols": 2}

POST /api/solve/matrix/eigenvalues
{"matrix": [[2, 1], [1, 2]]}

{"eigenvalues": [3.0, 1.0], "iterations": 2}

GET /api/solve/number-theory/factorize?n=360

{"n": 360, "factors": [[2, 3], [3, 2], [5, 1]], "is_prime": false}

GET /api/solve/number-theory/is-prime?n=104729

{"n": 104729, "is_prime": true}

GET /api/solve/number-theory/gcd?a=48&b=18

{"gcd": 6, "lcm": 144, "a": 48, "b": 18}

GET /api/solve/number-theory/mod-pow?base=3&exponent=100&modulus=1000000007

{"result": 886041711, "base": 3, "exponent": 100, "modulus": 1000000007}

GET /api/solve/combinatorics/combinations?n=52&r=5

{"n": 52, "r": 5, "value": 2598960.0}

GET /api/solve/combinatorics/binomial-probability?n=10&k=5&p=0.5

{"n": 10, "k": 5, "p": 0.5, "probability": 0.2461, "cumulative": 0.6230}

POST /api/solve/interpolate
{"x": [0, 1, 2, 3, 4], "y": [0, 1, 4, 9, 16], "at": [0.5, 2.5], "method": "cubic_spline"}

{"method": "cubic_spline", "values": [{"x": 0.5, "y": 0.25}, {"x": 2.5, "y": 6.25}]}

POST /api/solve/integrate
{"x": [0, 0.25, 0.5, 0.75, 1.0], "y": [0, 0.0625, 0.25, 0.5625, 1.0]}

{"trapezoidal": 0.34375, "simpsons": 0.33333, "n": 5}

POST /api/solve/ode
{"expr": "y * (1 - y)", "y0": 0.01, "t_start": 0, "t_end": 10, "steps": 1000}

{"method": "rk4", "steps": 1000, "points": [{"t": 0.0, "y": 0.01}, ..., {"t": 10.0, "y": 0.9999}]}

GET /api/solve/geo/distance?lat1=51.5074&lon1=-0.1278&lat2=48.8566&lon2=2.3522

{"km": 343.5, "miles": 213.4, "nautical_miles": 185.5}

GET /api/restaurants/search?q=cuisine:indian&limit=1

{
  "restaurants": [
    {
      "id": 1135,
      "name": "Dishoom King's Cross",
      "city": "London",
      "state": "England",
      "country": "GB",
      "rating": 4.8,
      "price": "$$",
      "classification": "upscale_casual",
      "michelin_stars": 0,
      "cuisines": ["indian", "south_asian"]
    }
  ],
  "total": 1289,
  "limit": 1,
  "offset": 0
}

# ingredient filters — find restaurants strong in game meats
GET /api/restaurants/search?q=&min_game=7&sort=game&limit=5

# combine text + filters
GET /api/restaurants/search?q=cuisine:seafood&min_seafood=8&michelin_min=1

GET /api/restaurants/nearby?lat=51.51&lng=-0.13&radius_km=2&q=cuisine:japanese&limit=3

GET /api/manpages/search?q=category:networking&min_freq=4&limit=2

{
  "pages": [
    {
      "id": 5992,
      "name": "curl",
      "one_liner": "A versatile command-line tool for transferring data to or from servers via URLs.",
      "card": "# Download a file\ncurl -O https://example.com/file.tar.gz\n# POST JSON data\ncurl -X POST -H \"Content-Type: application/json\" -d '{\"key\":\"val\"}' https://api.site.com\n# Follow redirects and show headers\ncurl -LI https://example.com",
      "section": "1",
      "categories": ["networking", "web"],
      "use_frequency": 5
    }
  ],
  "total": 147
}

# Browse by category
GET /api/manpages/search?q=category:shell&min_freq=4
GET /api/manpages/search?q=category:crypto
GET /api/manpages/search?q=category:container

# Search by name or content
GET /api/manpages/search?q=name:git+section:1
GET /api/manpages/search?q=description:socket+section:2

GET /api/osm/search?q=starbucks&lat=48.8566&lon=2.3522&radius_km=5&limit=2

{
  "elements": [
    {
      "category": "amenity",
      "id": 3438053662,
      "lat": 48.87618,
      "lon": 2.3445282,
      "name": "Starbucks"
    }
  ],
  "limit": 2,
  "offset": 0,
  "total": 43
}

GET /api/wikipedia/summary/Albert_Einstein

{
  "infobox": {
    "Awards": "Nobel Prize in Physics (1921)...",
    "Born": "14 March 1879, Ulm, Germany",
    "Fields": "Physics",
    "Known for": "General relativity, E=mc²..."
  },
  "link_count": 1096,
  "summary": "Albert Einstein (14 March 1879 – 18 April 1955) was a German-born theoretical physicist...",
  "title": "Albert Einstein",
  "url": "Albert_Einstein"
}

GET /api/wiktionary/word/hello

{
  "entry": {
    "languages": [
      {
        "language": "English",
        "pronunciations": ["/hɛˈloʊ/"],
        "senses": [
          { "definitions": ["A greeting..."], "pos": "interjection" },
          { "definitions": ["\"Hello!\" or an equivalent greeting."], "pos": "noun" }
        ],
        "synonyms": ["hi", "howdy", "g'day"]
      }
    ],
    "word": "hello"
  }
}