Pixserp

Pixserp

Pixserp is a web scraping and live search API built for developers who need cited answers from the open web inside AI agents and RAG pipelines. You send natural language questions to a single OpenAI-compatible /v1/chat/completions endpoint, and Pixserp returns structured, source-linked results instead of raw HTML. The same call can pull web articles, news, images, maps, shopping listings, flights, hotels, YouTube videos, transcripts, or text extracted from any URL.

Where most search APIs stop at web snippets or a single answer shape, Pixserp bundles ten vertical response types behind one endpoint and one flat per-request bill. Its pricing page comparison lists pixserp-fast at $1.50 per 1,000 requests against $5 for Exa /answer, $9 for Brave Answers, and $19 for Perplexity Sonar Pro for the same cited-answer workload. The pixserp-agent model also folds a multi-step retrieval loop (search, scrape, follow links, cross-check) into one API call so you do not have to wire Serper, Firecrawl, a reranker, and cache glue yourself.

Backend and agent developers use Pixserp when they want OpenAI SDK compatibility without rebuilding a retrieval stack. LangChain, LlamaIndex, Cursor, Cline, and LiteLLM can all point at https://pixserp.com/api/v1 with a pixserp model name. Teams monitoring prices, hotel rates, or breaking news can schedule reruns through POST /v1/watch with cron cadences down to one minute and diff-aware webhooks.

Top Features:
  1. One /v1/chat/completions endpoint returns 10 answer shapes (web, news, images, places, shopping, flights, hotels, YouTube, transcripts, and any URL) at the same flat rate

  2. pixserp-fast returns cited answers in about 0.5 to 1.5 seconds on the homepage benchmark table

  3. Point the OpenAI SDK at https://pixserp.com/api/v1 and existing chat-completions code works without rewrites

  4. Pass response_format with a JSON schema and Pixserp fills typed fields with web-grounded values instead of prose to parse

  5. POST /v1/watch reruns any chat completion on a cron as short as 1 minute and sends HMAC-signed diff webhooks

  6. pixserp-agent bills $0.0035 per step for multi-step search, scrape, and cross-check loops up to 100 steps

Pros:
  1. OpenAI-compatible endpoint drops into LangChain, Cursor, and existing chat-completions code with a base URL swap

  2. Ten answer shapes including flights, hotels, shopping, and YouTube share one flat per-request price

  3. Pricing page lists pixserp-fast at $1.50 per 1,000 requests versus $5 for Exa /answer on the same cited-answer benchmark

  4. Structured citation objects return URLs, prices, ratings, and GPS coordinates per vertical instead of loose text

  5. $2.50 free balance on signup with no credit card required

Cons:
  1. Pay-as-you-go only with no subscription tier for predictable monthly billing

  2. Higher concurrency requires emailing [email protected] rather than self-serve plan upgrades

  3. pixserp-agent step costs can add up when research loops run many steps toward the 100-step cap

FAQs:

Can I try Pixserp for free?

Yes. Pixserp gives new accounts a $2.50 free balance after magic-link sign-in with no credit card required. Your first pixserp-fast call costs $0.0025 against that balance according to the docs quickstart.

How does Pixserp pricing work?

Pixserp uses flat pay-as-you-go rates with no tiers or packs. pixserp-fast is $1.50 per 1,000 requests, pixserp-standard is $2.50, pixserp-deep is $3.50, and pixserp-agent bills $0.0035 per step executed. Top-ups run from $50 to $50,000 and balances never expire.

Does Pixserp work with OpenAI SDK code?

Yes. Pixserp is OpenAI-compatible: set `base_url` to `https://pixserp.com/api/v1`, pass your `pxs_` API key, and choose a pixserp model such as pixserp-fast. The docs show Python, JavaScript, Go, and curl examples using the standard chat-completions shape.

What web content types does Pixserp return?

Pixserp returns ten answer shapes from one endpoint: web pages, news, images, places and maps, shopping, flights, hotels, YouTube videos, video transcripts, and extracted text from any URL. Each shape includes structured citation fields such as price, rating, GPS, or transcript text.

How is Pixserp different from Exa or Perplexity?

Pixserp lists pixserp-fast at $1.50 per 1,000 cited-answer requests on its pricing comparison, versus $5 for Exa /answer and $19 for Perplexity Sonar Pro. It also returns structured rows for shopping, flights, hotels, and YouTube in the same call, which those ask-style APIs do not cover on the comparison table.

Does Pixserp support scheduled monitoring?

Yes. Pixserp Watch exposes POST `/v1/watch` to rerun any chat completion on a cron schedule from 1 minute to daily. Each tick bills the same model rate as a normal call, cron scheduling and webhooks are free, and diff webhooks include prev_label and curr_label fields for price or content changes.

Does Pixserp work with Claude Desktop or Cursor?

Yes. Pixserp ships an MCP server at POST `/v1/mcp` with streamable HTTP transport, and the features page lists Cursor, Claude Desktop, Zed, Cline, and Continue as supported clients. You can also route those tools through LiteLLM or n8n using the OpenAI-compatible base URL.

Category:

Pricing:

Freemium

Tags:

OpenAI-compatible
Live web data
Structured citations
RAG pipelines
Web research API
MCP server
Agent orchestration
AI search

Tech used:

OpenAI SDK
REST API
Model Context Protocol
Streaming SSE
Cloud-based
Next.js
Cloudflare
Google Cloud
Google Fonts
Ruby
Tailwind CSS

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