Skip the retrieval pipeline — no scraper, no reranker, no cache layer. One OpenAI-compatible/v1/chat/completionsendpoint returns cited live-web answers, up to a multi-step research agent.
Ten kinds of answers behind one endpoint. You ask in plain language, we find it — same flat price whether the answer is a cited article, a product listing, a flight, a hotel, or a video transcript.
You just ask. Same call. Same flat price.
Same task — ask in natural language, get a cited answer from the live web. Here's how pixserp-fast stacks up against the ask-AI mode of the usual suspects.
They give you a paragraph. We give you a paragraph plus the structured rows your agent needs — products, flights, hotels, places, videos with transcripts. One endpoint. One bill.
| answer shape | pixserp | Exa | Brave | Perplexity |
|---|---|---|---|---|
| Web | ||||
| News | ||||
| Images | ||||
| Places & maps | ||||
| Shopping | ||||
| Flights | ||||
| Hotels | ||||
| YouTube videos | ||||
| YouTube transcripts | ||||
| Any URL extract |
Coverage = ask-style endpoint returns this shape with structured fields, not just a free-text mention
A real agent doesn't just “hit a search API” — it expands the query, scrapes pages, reranks them, caches results, and stitches citations. pixserp-agent is that whole loop, in one OpenAI-compatible call.
await pixserp.chat.completions.create({
model: "pixserp-agent",
messages: [{ role: "user", content: userQ }],
})Pick a model, know the price upfront. Same rate at any volume. Pay-as-you-go in real dollars, top up from $50 up to $50,000.
POST /v1/chat/completionsflat per-requestPOST /v1/watchsame model rateSame flat rate whether the answer is a web article, a flight, or a YouTube transcript.
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