Yapay Zeka Verimlilik Analizleri

Üretkenlik verileriniz üzerinde yapay zeka destekli analizler çalıştırın. İçgörü motoru, eğilimleri tespit etmek, anormallikleri işaretlemek, optimizasyon önermek ve ilerlemeyi tahmin etmek için zincirleriniz ve zincirleriniz genelinde bit tamamlama modellerini analiz eder.

Uç noktalar

Method	Path	Description	Auth	Rate Limit
POST	/ai/productivity-insights/analyze	Run an analysis	JWT + Entitlement	20/min
GET	/ai/productivity-insights	List past insights	JWT + Entitlement	60/min

---

POST /ai/productivity-insights/analyze

Tanım

Bir tarih aralığındaki üretkenlik kalıpları üzerinde yapay zeka analizi yapın.

Kimlik Doğrulama: JWT Taşıyıcı jetonu + aktif AI yetkisi gereklidir. Hız sınırı: 20/dak

Rica etmek

• Başlıklar: Authorization: Bearer <token>, Content-Type: application/json

Talep Gövdesi

Field	Type	Required	Description
scope	string	Yes	Analysis scope: account, chainy, or chain
scopeId	string	No	Target ID when scope is chainy or chain
insightType	string	Yes	One of: trend, anomaly, optimization, forecast
from	string	No	Start date
to	string	No	End date

Analiz Türleri

Type	What It Does
trend	Splits the date range in half, compares average daily completions, and determines if you are improving, declining, or stable
anomaly	Detects days with unusually high activity or unexpected gaps
optimization	Generates actionable suggestions based on completion history patterns, chain count, and daily pace
forecast	Projects completion counts for the next 7 and 30 days based on your current pace

Cevap

Yanıt Örneği (Trend)

{
  "data": {
    "id": "cm5insight01",
    "scope": "account",
    "scopeId": null,
    "insightType": "trend",
    "content": {
      "direction": "improving",
      "avgDailyCompletions": 3.2,
      "firstHalfAvg": 2.1,
      "secondHalfAvg": 4.3,
      "activeChains": 4,
      "totalCompletions": 96
    },
    "runId": null,
    "createdAt": "2026-03-17T14:00:00.000Z"
  }
}

Yanıt Örneği (Anormallik)

{
  "data": {
    "id": "cm5insight02",
    "scope": "account",
    "scopeId": null,
    "insightType": "anomaly",
    "content": {
      "avgDailyCompletions": 3.2,
      "anomalyCount": 3,
      "anomalies": [
        { "date": "2026-03-01", "count": 12, "type": "spike" },
        { "date": "2026-03-05", "count": 0, "type": "gap" },
        { "date": "2026-03-10", "count": 11, "type": "spike" }
      ]
    },
    "runId": null,
    "createdAt": "2026-03-17T14:00:00.000Z"
  }
}

Yanıt Örneği (Optimizasyon)

{
  "data": {
    "id": "cm5insight03",
    "scope": "chainy",
    "scopeId": "cm5abc123",
    "insightType": "optimization",
    "content": {
      "averageSuccessfulRuns": 2.5,
      "activeChains": 7,
      "suggestions": [
        "Focus on building consistent run history before adding new chains.",
        "Consider consolidating chains -- too many parallel goals can reduce focus."
      ]
    },
    "runId": null,
    "createdAt": "2026-03-17T14:00:00.000Z"
  }
}

Yanıt Örneği (Tahmin)

{
  "data": {
    "id": "cm5insight04",
    "scope": "account",
    "scopeId": null,
    "insightType": "forecast",
    "content": {
      "projectedCompletions7d": 22,
      "projectedCompletions30d": 96,
      "currentPace": 3.2,
      "requiredPaceForTarget": null
    },
    "runId": null,
    "createdAt": "2026-03-17T14:00:00.000Z"
  }
}

Yanıt Alanları

Field	Type	Description
id	string	Insight UUID
scope	string	Analysis scope (account, chainy, chain)
scopeId	string | null	Target ID
insightType	string	The insight type
content	object	Analysis results
runId	string | null	Associated AI run ID
createdAt	string	ISO 8601 timestamp

Kod Örnekleri

cURL

curl -X POST https://api.chainabit.com/api/v1/ai/productivity-insights/analyze \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "scope": "account",
    "insightType": "trend",
    "from": "2026-02-15T00:00:00.000Z",
    "to": "2026-03-17T00:00:00.000Z"
  }'

JavaScript

const res = await fetch(`${BASE_URL}/ai/productivity-insights/analyze`, {
  method: "POST",
  headers: {
    Authorization: `Bearer ${TOKEN}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    scope: "account",
    insightType: "trend",
    from: "2026-02-15T00:00:00.000Z",
    to: "2026-03-17T00:00:00.000Z",
  }),
});
const { data } = await res.json();

Python

import requests

res = requests.post(
    f"{BASE_URL}/ai/productivity-insights/analyze",
    headers={"Authorization": f"Bearer {TOKEN}"},
    json={
        "scope": "account",
        "insightType": "trend",
        "from": "2026-02-15T00:00:00.000Z",
        "to": "2026-03-17T00:00:00.000Z",
    },
)
data = res.json()["data"]

---

GET /ai/productivity-insights

Tanım

Geçmiş üretkenlik öngörülerinizi en yenisi ilk sıraya göre sıralanarak listeleyin. En fazla 20 sonuç döndürür.

Kimlik Doğrulama: JWT Taşıyıcı jetonu + aktif AI yetkisi gereklidir. Hız sınırı: 60/dak

Rica etmek

• Başlıklar: Authorization: Bearer <token>

Cevap

Yanıt Örneği

{
  "data": [
    {
      "id": "cm5insight01",
      "scope": "account",
      "scopeId": null,
      "insightType": "trend",
      "content": {
        "direction": "improving",
        "avgDailyCompletions": 3.2,
        "firstHalfAvg": 2.1,
        "secondHalfAvg": 4.3,
        "activeChains": 4,
        "totalCompletions": 96
      },
      "runId": null,
      "createdAt": "2026-03-17T14:00:00.000Z"
    },
    {
      "id": "cm5insight02",
      "scope": "chainy",
      "scopeId": "cm5abc123",
      "insightType": "optimization",
      "content": {
        "averageSuccessfulRuns": 2.5,
        "activeChains": 7,
        "suggestions": [
          "Focus on building consistent run history before adding new chains."
        ]
      },
      "runId": null,
      "createdAt": "2026-03-16T10:00:00.000Z"
    }
  ]
}

Kod Örnekleri

cURL

curl https://api.chainabit.com/api/v1/ai/productivity-insights \
  -H "Authorization: Bearer $TOKEN"

JavaScript

const res = await fetch(`${BASE_URL}/ai/productivity-insights`, {
  headers: { Authorization: `Bearer ${TOKEN}` },
});
const { data } = await res.json();

Python

import requests

res = requests.get(
    f"{BASE_URL}/ai/productivity-insights",
    headers={"Authorization": f"Bearer {TOKEN}"},
)
data = res.json()["data"]