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Web-Scale Search API for AI & LLMs — 20x Cheaper

Starting price
$99/mo
Pricing
Free plan
Website
ceramic.ai

About Ceramic

Ceramic is a web-scale search API built for AI agents and LLM-driven workflows. It serves developers who need fast, cost-effective web search to augment AI responses and power agent tasks beyond static training data.

Ceramic screenshot

Key Features

When teams rely on live web data for prompts and verification, cost and latency matter. Ceramic’s API provides AI-ready search at scale for fresh results and reliable reuse:

Pricing & Cost Alignment

Pricing starts at $0.25 per 1K queries, designed to align search spend with inference costs rather than per-query fees.

Massive Index & Low Latency

40B+ pages indexed with ~50ms responses, enabling quick lookups for real-time prompts.

AI-Agent Ready API & Multi-Query Workflows

Built for AI agents and LLM pipelines; supports running multiple searches per task to fetch diverse angles and reduce stale results.

Hallucination Detection & Verification

Includes tooling to detect and verify results before they reach users, reducing output hallucinations.

Summary

Best for AI product teams, data science/engineering teams building AI agents, and operations teams monitoring search spend.

Plans and prices as listed on ceramic.ai as of Oct 5, 2026.

Pay As You Go

$0 / month

  • Usage
  • $0.25/ 1K queries
  • 1,000 free queries to start
  • 20 QPS across your organization
  • No credit card required to start
  • Email support

Pro

$99 / month

  • Usage
  • $0.20/ 1K queries
  • 495,000 queries per month included, worth $99
  • 20% off all usage
  • 50 QPS across your organization
  • Email support
  • Included queries reset at the start of each billing period. Top-up credits carry over.

Enterprise

Custom / Pricing

  • Custom infrastructure and dedicated resources for large-scale deployments.
  • Volume discounts
  • Custom rate limits and QPS reservations
  • SLA guarantees and dedicated support
  • Private hosted or co-located index
  • Custom index on your data

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