Affise
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PixelAPI.dev
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Affiliate marketing and mobile attribution platform built to manage, attribute, and scale performance marketing across web and mobile.
Trusted by 1,000+ companies since 2017, Affise offers two core products:
Affise Performance โ Built for affiliate networks to track, optimize, and scale with confidence, offering advanced crossโdevice attribution, fully customizable postbacks, realโtime analytics, and builtโin fraud prevention.
Affise Mobile Attribution (MMP) โ Full-funnel tracking for installs, in-app events, re-engagements, and uninstalls across iOS and Android. Supports SKAN, Facebook attribution, and raw data exports.
Affise also empowers media buying teams with a centralized dashboard for smart cost tracking, bulk editing, and granular performance insights.
By unifying attribution, automation, and analytics, Affise gives marketers full control over their performance ecosystemโdriving growth, optimizing spend, and scaling with confidence.
Affise PixelAPI.devBusinesses and marketers who require advanced tracking, reporting, and customization abilities in their affiliate marketing campaigns will benefit most from Affise. The platform is particularly well-suited for medium to large enterprises and agencies looking to effectively manage a high volume of affiliate partnerships and campaigns.
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Import httpx Import os PIXELAPI_KEY = os.environ["PIXELAPI_KEY"] Def color_grade(image_url: str, style: str) -> str: response = httpx.post( "https://pixelapi.dev/api/color-grade", headers={"Authorization": f"Bearer {PIXELAPI_KEY}"}, json={ "image_url": image_url, "style": style, }, timeout=30, ) response.raise_for_status() return... - Source: dev.to / 2 months ago
I shipped PixelAPI's /v1/pattern endpoint yesterday โ 8 styles, 512px or 1024px output, recolor + upscale ops, fully seamless tileable. At $0.008/pattern, it's 2-5ร cheaper than PatternedAI's GUI sessions. - Source: dev.to / 3 months ago
Import fs from "fs"; Import path from "path"; Import fetch from "node-fetch"; Import FormData from "form-data"; Async function addShadow(imagePath) { const form = new FormData(); form.append("image", fs.createReadStream(imagePath)); const response = await fetch("https://pixelapi.dev/api/shadow-generator", { method: "POST", headers: { Authorization: `Bearer ${process.env.PIXELAPI_KEY}`, ... - Source: dev.to / 3 months ago
Free credits at pixelapi.dev โ no card needed. Run your hardest test images through it. - Source: dev.to / 4 months ago
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