{"id":3137,"date":"2026-07-30T22:05:33","date_gmt":"2026-07-30T19:05:33","guid":{"rendered":"https:\/\/shareai.now\/?p=3137"},"modified":"2026-07-30T22:05:33","modified_gmt":"2026-07-30T19:05:33","slug":"claude-bilim-api-arastirma-is-akislari","status":"publish","type":"post","link":"https:\/\/shareai.now\/tr\/blog\/gelistiriciler\/claude-bilim-api-arastirma-is-akislari\/","title":{"rendered":"Claude Bilim API Kal\u0131plar\u0131 i\u00e7in Denetlenebilir Ara\u015ft\u0131rma \u0130\u015f Ak\u0131\u015flar\u0131"},"content":{"rendered":"

Claude Bilim API'si<\/strong> faydal\u0131 bir arama ifadesidir, ancak \u00fcr\u00fcn dersi tek bir u\u00e7 noktadan daha geni\u015ftir. Claude Bilim, bilim insanlar\u0131 i\u00e7in bir Anthropic uygulamas\u0131d\u0131r ve 30 Haziran 2026'da beta s\u00fcr\u00fcm\u00fcnde piyasaya s\u00fcr\u00fclm\u00fc\u015ft\u00fcr. Ara\u015ft\u0131rma ara\u00e7lar\u0131n\u0131, veri kaynaklar\u0131n\u0131, hesaplama ortamlar\u0131n\u0131 ve denetlenebilir eserleri tek bir bilimsel \u00e7al\u0131\u015fma tezgah\u0131nda bir araya getirir. Yap\u0131c\u0131lar i\u00e7in pratik soru, maliyet ve riski \u00fcr\u00fcn i\u00e7inde g\u00f6mmeden kontrol edilebilen, yeniden \u00fcretilebilen, y\u00f6nlendirilebilen ve fiyatland\u0131r\u0131labilen AI ara\u015ft\u0131rma i\u015f ak\u0131\u015flar\u0131n\u0131 nas\u0131l tasarlayacaklar\u0131d\u0131r.<\/p>\n

Anthropic, Claude Bilim'i<\/a> yayg\u0131n bilimsel ara\u00e7lar\u0131 ve paketleri entegre eden, denetlenebilir eserler \u00fcreten ve esnek hesaplama eri\u015fimi sa\u011flayan bir AI \u00e7al\u0131\u015fma tezgah\u0131 olarak tan\u0131mlar. Uygulama, Claude Pro, Max, Team ve Enterprise planlar\u0131 i\u00e7in macOS ve Linux'ta beta s\u00fcr\u00fcm\u00fcnde mevcuttur. Genel bir kod gerektirmeyen olu\u015fturucu veya bir alan \u00fcr\u00fcn\u00fc i\u00e7in bir yedek de\u011fildir. Ara\u015ft\u0131rma a\u011f\u0131rl\u0131kl\u0131 AI \u00fcr\u00fcnlerinin nas\u0131l paketlendi\u011fine dair faydal\u0131 bir sinyaldir.<\/p>\n

En g\u00fc\u00e7l\u00fc desen basittir: her AI \u00e7\u0131kt\u0131s\u0131 bir iz b\u0131rakmal\u0131d\u0131r. Literat\u00fcr\u00fc arayabilen, kod \u00e7al\u0131\u015ft\u0131rabilen, kan\u0131tlar\u0131 \u00f6zetleyebilen, ara\u00e7lar\u0131 \u00e7a\u011f\u0131rabilen ve fig\u00fcrler olu\u015fturabilen bir ara\u015ft\u0131rma asistan\u0131n\u0131n yaln\u0131zca bir komut kutusundan daha fazlas\u0131na ihtiyac\u0131 vard\u0131r. Kaynak yakalama, ara\u00e7 g\u00fcnl\u00fckleri, model \u00e7a\u011fr\u0131 kay\u0131tlar\u0131, inceleme ad\u0131mlar\u0131 ve kullan\u0131m muhasebesine ba\u015ftan itibaren ihtiya\u00e7 duyar.<\/p>\n

Denetlenebilir ara\u015ft\u0131rma i\u015f ak\u0131\u015flar\u0131n\u0131n \u00f6nemi<\/h2>\n

Ara\u015ft\u0131rma kullan\u0131c\u0131lar\u0131 nadiren sadece bir cevaba ihtiya\u00e7 duyar. Cevab\u0131n nereden geldi\u011fini, hangi varsay\u0131mlar\u0131n onu \u015fekillendirdi\u011fini, hangi ara\u00e7lar\u0131n kullan\u0131ld\u0131\u011f\u0131n\u0131 ve sonucun daha sonra yeniden \u00e7al\u0131\u015ft\u0131r\u0131l\u0131p \u00e7al\u0131\u015ft\u0131r\u0131lamayaca\u011f\u0131n\u0131 bilmek isterler. Bu, \u00fcr\u00fcn mimarisini de\u011fi\u015ftirir. Genel bir sohbet transkripti, \u00e7\u0131kt\u0131n\u0131n bir raporu, deneyi, yat\u0131r\u0131m notunu, uyumluluk incelemesini veya klinik yan i\u015f ak\u0131\u015f\u0131n\u0131 etkileyebilece\u011fi durumlarda yeterli de\u011fildir.<\/p>\n

Yap\u0131c\u0131lar i\u00e7in faydal\u0131 Claude Bilim API deseni, her \u00fcretilen \u00e7\u0131kt\u0131y\u0131 bir eser olarak ele almakt\u0131r. Bir grafik, \u00f6zet, kod sonucu, literat\u00fcr incelemesi veya deney plan\u0131, onu \u00fcreten yolu incelemek i\u00e7in bir g\u00f6zden ge\u00e7irenin yeterli ba\u011flam\u0131 ta\u015f\u0131mal\u0131d\u0131r. Bu do\u011frulu\u011fu garanti etmez, ancak \u00fcr\u00fcn\u00fcn i\u015fini geli\u015ftirmek, d\u00fczeltmek ve savunmak i\u00e7in g\u00fcvenilir bir yol sunar.<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n
\u0130\u015f ak\u0131\u015f\u0131 katman\u0131<\/th>\nNeleri yakalamal\u0131<\/th>\n<\/tr>\n<\/thead>\n
Girdi<\/td>\nKullan\u0131c\u0131 iste\u011fi, dosyalar, veri setleri, k\u0131s\u0131tlamalar ve \u00e7al\u0131\u015fma alan\u0131 ba\u011flam\u0131.<\/td>\n<\/tr>\n
Geri alma<\/td>\nArama terimleri, kaynak veritabanlar\u0131, al\u0131nt\u0131lar, filtreler ve s\u0131ralama mant\u0131\u011f\u0131.<\/td>\n<\/tr>\n
Model \u00e7a\u011fr\u0131s\u0131<\/td>\nModel ad\u0131, istem s\u00fcr\u00fcm\u00fc, yan\u0131t, gecikme, maliyet ve yedekleme yolu.<\/td>\n<\/tr>\n
Ara\u00e7 \u00e7a\u011fr\u0131s\u0131<\/td>\nKullan\u0131lan ara\u00e7 ad\u0131, parametreler, \u00e7\u0131kt\u0131lar, hatalar ve izinler.<\/td>\n<\/tr>\n
Eser<\/td>\nOlu\u015fturulan kod, tablolar, \u015fekiller, notlar, iddialar ve kaynak referanslar\u0131.<\/td>\n<\/tr>\n
\u0130nceleme<\/td>\n\u0130nsan d\u00fczenlemeleri, onaylar, reddedilen iddialar ve \u00e7\u00f6z\u00fclmemi\u015f s\u0131n\u0131rlamalar.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

Claude Science tarz\u0131 \u00fcr\u00fcnler i\u00e7in bir Builder deseni<\/h2>\n

\u00c7o\u011fu Builder, Claude Science'\u0131 yeniden \u00fcretmek zorunda de\u011fildir. Kendi ara\u015ft\u0131rma \u00fcr\u00fcnleri i\u00e7in daha dar bir mimariye ihtiya\u00e7 duyarlar. Bu, bir makale \u00f6nceliklendirme arac\u0131, hukuki ara\u015ft\u0131rma asistan\u0131, finansal analiz \u00e7al\u0131\u015fma alan\u0131, piyasa istihbarat\u0131 i\u015f ak\u0131\u015f\u0131, politika ara\u015ft\u0131rma sistemi, e\u011fitim arac\u0131 veya dahili analiz asistan\u0131 olabilir.<\/p>\n

1. Tekrarlanabilir bir ara\u015ft\u0131rma i\u015fiyle ba\u015flay\u0131n<\/h3>\n

Kullan\u0131c\u0131n\u0131n ba\u015far\u0131y\u0131 zaten bildi\u011fi bir i\u015f ak\u0131\u015f\u0131n\u0131 se\u00e7in: makalelerden kan\u0131t \u00e7\u0131karma, sat\u0131c\u0131lar\u0131 kar\u015f\u0131la\u015ft\u0131rma, d\u00fczenleyici de\u011fi\u015fiklikleri \u00f6zetleme, teknik bir not tasla\u011f\u0131 haz\u0131rlama veya bir veri setini a\u00e7\u0131klama. Dar bir i\u015f, hangi kaynaklar\u0131n izinli oldu\u011funu, hangi ara\u00e7lar\u0131n \u00e7a\u011fr\u0131labilece\u011fini ve hangi \u00e7\u0131kt\u0131lar\u0131n\u0131n inceleme gerektirdi\u011fini tan\u0131mlamay\u0131 kolayla\u015ft\u0131r\u0131r.<\/p>\n

2. Model katman\u0131n\u0131 de\u011fi\u015ftirilebilir tutun<\/h3>\n

Ara\u015ft\u0131rma i\u015f ak\u0131\u015flar\u0131 genellikle basit \u00e7\u0131kar\u0131m, \u00f6zetleme, ak\u0131l y\u00fcr\u00fctme, kodlama ve son yaz\u0131m\u0131 bir araya getirir. Bu ad\u0131mlar\u0131n hepsi ayn\u0131 modele ihtiya\u00e7 duymaz. Builder'lar \u00fcr\u00fcn deneyimini model y\u00f6nlendirme katman\u0131ndan ay\u0131rmal\u0131, b\u00f6ylece g\u00f6rev baz\u0131nda kalite, maliyet, gecikme ve g\u00fcvenilirli\u011fi test edebilirler.<\/p>\n

3. \u00d6zerklikten \u00f6nce inceleme ekleyin<\/h3>\n

Denetlenebilir i\u015f ak\u0131\u015flar\u0131, hassas iddialar, hesaplamalar, al\u0131nt\u0131lar ve nihai \u00f6nerilerin bir inceleme ad\u0131m\u0131ndan ge\u00e7ti\u011fi durumlarda en iyi \u015fekilde \u00e7al\u0131\u015f\u0131r. \u0130nceleyici bir insan, ba\u015fka bir model, kural tabanl\u0131 bir do\u011frulay\u0131c\u0131 veya bir kombinasyon olabilir. \u00d6nemli olan, neyin de\u011fi\u015fti\u011fini ve nedenini yakalamakt\u0131r.<\/p>\n

ShareAI'nin uyumu<\/h2>\n

ShareAI, insan g\u00fcc\u00fcyle \u00e7al\u0131\u015fan bir AI pazaryeri ve API'dir. Ara\u015ft\u0131rma \u00e7al\u0131\u015fma masas\u0131, kodsuz uygulama olu\u015fturucu, CMS, bar\u0131nd\u0131rma platformu veya i\u015f ak\u0131\u015f\u0131 olu\u015fturucu de\u011fildir. Yap\u0131c\u0131lar i\u00e7in ShareAI, model eri\u015fimi ve kullan\u0131m katman\u0131na uyar: bir API \u00fczerinden \u00e7\u0131kar\u0131m y\u00f6nlendirin, modelleri kar\u015f\u0131la\u015ft\u0131r\u0131n, yedekleme se\u00e7enekleri ekleyin ve m\u00fc\u015fteriler veya \u00e7al\u0131\u015fma alanlar\u0131 genelinde kullan\u0131m\u0131 takip edin.<\/p>\n

Bu, ara\u015ft\u0131rma \u00fcr\u00fcnleri i\u00e7in \u00f6nemlidir \u00e7\u00fcnk\u00fc AI kullan\u0131m\u0131 m\u00fc\u015fteri baz\u0131nda keskin bir \u015fekilde de\u011fi\u015febilir. Bir ekip haftada birka\u00e7 \u00f6zet \u00e7al\u0131\u015ft\u0131rabilir. Di\u011feri binlerce belge i\u015fleyebilir, ara\u00e7lar\u0131 tekrar tekrar \u00e7a\u011f\u0131rabilir ve uzun raporlar \u00fcretebilir. Sabit bir abonelik, bu maliyetleri marj incelene kadar gizleyebilir.<\/p>\n

ShareAI ile Yap\u0131c\u0131lar, AI \u00e7\u0131kar\u0131m trafi\u011fini ShareAI \u00fczerinden y\u00f6nlendirebilir, bir ek \u00fccret veya marj belirleyebilir, m\u00fc\u015fterilerin y\u00f6nlendirilen kullan\u0131m i\u00e7in do\u011frudan ShareAI'ye \u00f6deme yapmas\u0131na izin verebilir ve olu\u015fturulan kazan\u00e7lara dayal\u0131 olarak ayl\u0131k \u00f6demeler alabilir. Bu, Yap\u0131c\u0131lara her m\u00fc\u015fteriyi ayn\u0131 AI maliyet yap\u0131s\u0131na zorlamadan yo\u011fun kullan\u0131c\u0131lar\u0131 desteklemek i\u00e7in daha temiz bir yol sunar.<\/p>\n

Kullan ShareAI\u2019nin model pazar\u0131<\/a> ara\u015ft\u0131rma ad\u0131mlar\u0131 i\u00e7in modelleri kar\u015f\u0131la\u015ft\u0131rmak veya ShareAI API belgeleri<\/a> bir \u00fcr\u00fcn i\u015f ak\u0131\u015f\u0131n\u0131 ba\u011flamaya haz\u0131r oldu\u011funuzda.<\/p>\n

Pratik bir Claude Science API mimarisi<\/h2>\n

\u00dcretime haz\u0131r bir ara\u015ft\u0131rma asistan\u0131 k\u00fc\u00e7\u00fck ba\u015flamal\u0131 ve daha otonom hale gelmeden \u00f6nce daha denetlenebilir olmal\u0131d\u0131r. Minimum mimari, a\u00e7\u0131k kaynak kurallar\u0131n\u0131, istem s\u00fcr\u00fcmlemeyi, model y\u00f6nlendirmeyi, ara\u00e7 izinlerini, eser depolamay\u0131, inceleme g\u00fcnl\u00fcklerini, m\u00fc\u015fteri d\u00fczeyinde kullan\u0131m s\u0131n\u0131rlar\u0131n\u0131 ve maliyet raporlamas\u0131n\u0131 i\u00e7ermelidir.<\/p>\n

    \n
  • Makale s\u0131ralama, kan\u0131t \u00e7\u0131karma, rapor tasla\u011f\u0131 haz\u0131rlama veya veri a\u00e7\u0131klamas\u0131 gibi ara\u015ft\u0131rma g\u00f6revini tan\u0131mlay\u0131n.<\/li>\n
  • Kaynak belgeleri, veri setlerini, istemleri, model se\u00e7imlerini ve ara\u00e7 \u00e7\u0131kt\u0131lar\u0131 nihai esere ba\u011fl\u0131 tutun.<\/li>\n
  • Basit ad\u0131mlar\u0131 maliyet a\u00e7\u0131s\u0131ndan verimli modellere y\u00f6nlendirin ve daha g\u00fc\u00e7l\u00fc modelleri ak\u0131l y\u00fcr\u00fctme a\u011f\u0131rl\u0131kl\u0131 i\u015fler i\u00e7in ay\u0131r\u0131n.<\/li>\n
  • Al\u0131nt\u0131lar, hesaplamalar, desteklenmeyen iddialar ve bi\u00e7imlendirme hatalar\u0131 i\u00e7in inceleyici ge\u00e7i\u015fleri ekleyin.<\/li>\n
  • Fiyatland\u0131rman\u0131n ger\u00e7ek AI i\u015f y\u00fck\u00fcn\u00fc takip edebilmesi i\u00e7in kullan\u0131m\u0131 \u00e7al\u0131\u015fma alan\u0131, \u00f6zellik ve m\u00fc\u015fteri baz\u0131nda izleyin.<\/li>\n
  • \u00c7\u0131kt\u0131lar dan\u0131\u015fmanl\u0131k niteli\u011finde, \u00f6n haz\u0131rl\u0131k a\u015famas\u0131nda veya uzman incelemesi gerektiriyorsa s\u0131n\u0131rlamalar\u0131 a\u00e7\u0131k\u00e7a belgeleyin.<\/li>\n<\/ul>\n

    Sonu\u00e7 sadece daha ak\u0131ll\u0131 bir asistan de\u011fildir. Kullan\u0131c\u0131lar\u0131n i\u015fin nas\u0131l \u00fcretildi\u011fini inceleyebilece\u011fi i\u00e7in g\u00fcven kazanabilecek bir \u00fcr\u00fcnd\u00fcr.<\/p>\n

    SSS<\/h2>\n

    Claude Science i\u00e7in bir genel API var m\u0131?<\/h3>\n

    Claude Science \u015fu anda beta a\u015famas\u0131nda bir Anthropic uygulamas\u0131 olarak tan\u0131mlan\u0131yor. Claude Science API'sinin Yap\u0131c\u0131lar i\u00e7in faydal\u0131 a\u00e7\u0131s\u0131, i\u015f ak\u0131\u015f\u0131 modeli: ara\u00e7 kullan\u0131m\u0131, kaynak, inceleme, y\u00f6nlendirme ve tekrarlanabilir eserlerdir.<\/p>\n

    Claude Science nedir?<\/h3>\n

    Claude Science, bilimsel ara\u00e7lar\u0131, paketleri, ba\u011flay\u0131c\u0131lar\u0131, hesaplama ortamlar\u0131n\u0131 ve denetlenebilir eserleri ara\u015ft\u0131rma odakl\u0131 bir uygulamada birle\u015ftiren bilim insanlar\u0131 i\u00e7in bir yapay zeka \u00e7al\u0131\u015fma platformudur.<\/p>\n

    Claude Science'\u0131 kimler kullanabilir?<\/h3>\n

    Anthropic, Claude Science'\u0131n macOS ve Linux'ta Claude Pro, Max, Team ve Enterprise kullan\u0131c\u0131lar\u0131 i\u00e7in beta olarak mevcut oldu\u011funu, Team ve Enterprise eri\u015fiminin y\u00f6neticiler taraf\u0131ndan kontrol edildi\u011fini s\u00f6yl\u00fcyor.<\/p>\n

    Bu durum ShareAI Yap\u0131c\u0131lar\u0131 i\u00e7in neden \u00f6nemlidir?<\/h3>\n

    Yap\u0131c\u0131lar, kendi \u00fcr\u00fcnlerinde ayn\u0131 mimari ilkeleri uygulayabilir: model \u00e7a\u011fr\u0131lar\u0131n\u0131 y\u00f6nlendirme, kullan\u0131m\u0131 izleme, kaynaklar\u0131 koruma, inceleme ad\u0131mlar\u0131 ekleme ve ShareAI y\u00f6nlendirmeli trafik yoluyla yo\u011fun yapay zeka kullan\u0131m\u0131n\u0131 gelir elde etme.<\/p>\n

    ShareAI, Claude Science'\u0131n yerini alabilir mi?<\/h3>\n

    Hay\u0131r. ShareAI, bir bilimsel \u00e7al\u0131\u015fma platformu de\u011fil, insan g\u00fcc\u00fcyle \u00e7al\u0131\u015fan bir yapay zeka pazar\u0131 ve API'dir. Ara\u015ft\u0131rma \u00fcr\u00fcn\u00fcnde model eri\u015fimi, y\u00f6nlendirme, kullan\u0131m ve Yap\u0131c\u0131 gelir elde etme katman\u0131n\u0131 destekleyebilir.<\/p>\n

    Yapay zeka ara\u015ft\u0131rma i\u015f ak\u0131\u015flar\u0131nda kaynak neden \u00f6nemlidir?<\/h3>\n

    Kaynak, bir \u00e7\u0131kt\u0131n\u0131n nas\u0131l olu\u015fturuldu\u011funu g\u00f6sterir. Kullan\u0131c\u0131lar\u0131n kaynaklar\u0131 do\u011frulamas\u0131na, kodu yeniden \u00e7al\u0131\u015ft\u0131rmas\u0131na, model kararlar\u0131n\u0131 incelemesine, hatalar\u0131 d\u00fczeltmesine ve eseri daha sonra yeniden \u00fcretmesine yard\u0131mc\u0131 olur.<\/p>\n

    Bir ara\u015ft\u0131rma asistan\u0131 neyi kaydetmelidir?<\/h3>\n

    Kullan\u0131c\u0131 iste\u011fini, belgeleri, veri setlerini, model \u00e7a\u011fr\u0131lar\u0131n\u0131, istemleri, ara\u00e7 \u00e7a\u011fr\u0131lar\u0131n\u0131, olu\u015fturulan kodu, \u00e7\u0131kt\u0131lar\u0131, inceleme notlar\u0131n\u0131, maliyetleri ve herhangi bir insan d\u00fczenlemesi veya onay\u0131n\u0131 kaydetmelidir.<\/p>\n

    Model y\u00f6nlendirme, ara\u015ft\u0131rma yapay zeka maliyetlerini nas\u0131l azaltabilir?<\/h3>\n

    Y\u00f6nlendirme, basit ad\u0131mlar\u0131n daha d\u00fc\u015f\u00fck maliyetli modelleri kullanmas\u0131na izin verirken, daha g\u00fc\u00e7l\u00fc modelleri mant\u0131k a\u011f\u0131rl\u0131kl\u0131 g\u00f6revler i\u00e7in saklar. Bu, her ad\u0131mda a\u015f\u0131r\u0131 harcama yapmadan kaliteyi \u00f6nemli oldu\u011fu yerde tutar.<\/p>\n

    Bu sadece ya\u015fam bilimleri \u00fcr\u00fcnleri i\u00e7in mi?<\/h3>\n

    Hay\u0131r. Ayn\u0131 model, yasal ara\u015ft\u0131rma, finansal analiz, pazar istihbarat\u0131, politika \u00e7al\u0131\u015fmalar\u0131, e\u011fitim ve yapay zeka \u00e7\u0131kt\u0131lar\u0131n\u0131n kan\u0131t ve tekrarlanabilirlik gerektirdi\u011fi herhangi bir i\u015f ak\u0131\u015f\u0131 i\u00e7in ge\u00e7erlidir.<\/p>\n

    Ara\u015ft\u0131rma yapay zeka kullan\u0131m\u0131n\u0131 Builders nas\u0131l fiyatland\u0131rmal\u0131?<\/h3>\n

    Fiyatland\u0131rma, m\u00fc\u015fteri kullan\u0131m\u0131na g\u00f6re de\u011fi\u015fti\u011finde ger\u00e7ek yapay zeka i\u015f y\u00fck\u00fcne g\u00f6re yap\u0131lmal\u0131d\u0131r. ShareAI, Builders'\u0131n \u00e7\u0131kar\u0131m\u0131 ShareAI \u00fczerinden y\u00f6nlendirmesine, bir marj eklemesine ve m\u00fc\u015fterilerin y\u00f6nlendirilmi\u015f kullan\u0131m\u0131 do\u011frudan \u00f6demesine olanak tan\u0131r.<\/p>\n

    Bir Yap\u0131c\u0131 nereden ba\u015flamal\u0131?<\/h3>\n

    Dar bir i\u015f ak\u0131\u015f\u0131yla ba\u015flay\u0131n, kaynak yakalama ve model \u00e7a\u011fr\u0131s\u0131 kayd\u0131n\u0131 ekleyin, bir inceleme ad\u0131m\u0131 tan\u0131t\u0131n ve daha geni\u015f ara\u015ft\u0131rma otomasyonuna \u00f6l\u00e7eklenmeden \u00f6nce LLM katman\u0131n\u0131 bir API \u00fczerinden y\u00f6nlendirin.<\/p>","protected":false},"excerpt":{"rendered":"

    Claude Science, ara\u015ft\u0131rma \u00fcr\u00fcnleri i\u00e7in pratik bir API modeline i\u015faret ediyor: ara\u00e7 kullan\u0131m\u0131, k\u00f6ken, inceleme d\u00f6ng\u00fcleri, y\u00f6nlendirme ve ba\u015flang\u0131\u00e7tan itibaren kullan\u0131m kontrolleri.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"cta-title":"Integrate one API","cta-description":"Access 150+ models for research workflows with one ShareAI integration.","cta-button-text":"Read the API Docs","cta-button-link":"https:\/\/shareai.now\/docs\/api\/using-the-api\/getting-started-with-shareai-api\/?utm_source=blog&utm_medium=content&utm_campaign=claude-science-api-research-workflows","rank_math_title":"Claude Science API Patterns for Auditable Research Workflows","rank_math_description":"Claude Science API patterns show how Builders can design auditable research workflows with tool use, provenance, routing, and review loops.","rank_math_focus_keyword":"Claude Science API, auditable research workflows, AI research assistant","footnotes":""},"categories":[4,6],"tags":[],"class_list":["post-3137","post","type-post","status-publish","format-standard","hentry","category-developers","category-insights"],"_links":{"self":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/3137","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/comments?post=3137"}],"version-history":[{"count":1,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/3137\/revisions"}],"predecessor-version":[{"id":3141,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/3137\/revisions\/3141"}],"wp:attachment":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/media?parent=3137"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/categories?post=3137"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/tags?post=3137"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}