Built for sales and research teams who need to know what a prospect's product line really looks like — not what their marketing page implies. Drop in a domain, get back the actual products with cited evidence URLs. JSON in, typically a minute or two.
ZoomInfo, Apollo, and Crunchbase list whatever a company markets — every feature, every tier, every add-on as if it were a real product. Stacksift is a focused LLM pipeline that returns only the standalone, purchasable products, with the source URLs to back every call.
Honest answer: ChatGPT is great for one-off questions. Stacksift is built for the cases where you can't afford it to be wrong, or you need it on 500 domains at once.
You probably still use ChatGPT for one-off lookups. Use Stacksift when you need to trust the answer, run it at scale, or hand the output to another system.
Drop in a domain, hit "run". Stacksift returns structured products typically in a minute or two — with the URLs the model used to make each call.
Every card below is an actual API response — same code, same prompts, same pipeline you'd hit. Re-run any of them yourself to verify.
scripts/generate_landing_samples.py has been run.
The pattern we keep hearing: SDRs hand-clean HubSpot or ZoomInfo data for half an hour before they can write a relevant outbound email. Stacksift cuts that to zero. Other use cases come next, but RevOps is the wedge.
Stacksift, per account: confirmed product list, pricing & sign-up URLs, single- vs multi-product flag, evidence URLs you can audit. Pipe it into Salesforce or HubSpot via Zapier, n8n, or 10 lines of Python.
POST a domain, get JSON. Code below is real and runnable against your beta key.
curl -X POST https://api.stacksift.in/analyze \ -H "Content-Type: application/json" \ -H "Authorization: Bearer sk_beta_YOUR_KEY" \ -d '{"domain": "dialpad.com"}'
import requests resp = requests.post( "https://api.stacksift.in/analyze", headers={"Authorization": "Bearer sk_beta_YOUR_KEY"}, json={"domain": "dialpad.com"}, timeout=60, ) data = resp.json() # Just the products that are actually sold standalone products = [p for p in data["products"] if p["is_product"]] for p in products: print(p["name"], "·", p["confidence"], "·", p["pricing_url"])
const resp = await fetch("https://api.stacksift.in/analyze", { method: "POST", headers: { "Content-Type": "application/json", "Authorization": "Bearer sk_beta_YOUR_KEY", }, body: JSON.stringify({ domain: "dialpad.com" }), }); const data = await resp.json(); // Push only verified products to your CRM const verified = data.products.filter(p => p.verdict === "true_product"); await syncToCRM(data.domain, verified);
Each tool is good at something. Stacksift is the only one purpose-built to answer a single question: "what does this company actually sell?"
| Capability | Stacksift | ZoomInfo / Apollo | Clay AI enrichment | ChatGPT yourself |
|---|---|---|---|---|
| Distinguishes products from features | Yes — that's the core job | No — lists everything | Depends on prompt | Depends on prompt |
| Cites evidence per verdict | Per-product URLs + reasoning | Black-box scoring | If you ask for it | No — hallucinates URLs |
| Catches discontinued products | Yes — shutdown signals | Stale data | Not specifically | No |
| Cost per domain | From ₹9.4 / ~$0.11 per call (Scale pack) | $10K+/yr seat | ~$0.10–$0.30 / enrichment | Free, but unreliable |
| Built for this specific job | Yes — entire product | No — built for contacts | No — general enrichment | No — general purpose |
Buy credits when you need them. Larger packs cost less per call. No subscriptions, no commitment.
For solo SDRs, founders, and analysts. Real workflows, low commit.
~$96 USD · incl. 18% GST
500 credits · 500 domain analyses
~₹16 per call
For RevOps teams running thousands of accounts. 25% off per call.
~$359 USD · incl. 18% GST
2,500 credits · 2,500 analyses
~₹12 per call
For B2B data teams and competitive intel pipelines. 42% off per call.
~$899 USD · incl. 18% GST
8,000 credits · 8,000 analyses
~₹9.4 per call
Free 14-day trial — 25 domain analyses, no credit card required. Buy a credit pack when you're ready.
confidence level (high / medium / low)
and a requires_human_review flag, so you can pick your threshold.
POST /analyze/batch takes a list of up to 500 domains and returns
a job ID. Poll GET /jobs/{id} for progress.