SearchHive vs Exa — API Features Compared

When you're building AI agents, chatbots, or data pipelines that need web search and scraping capabilities, picking the right API matters. Two platforms that come up frequently in this space are SearchHive and Exa (formerly Metaphor). Both offer programmatic web access, but they take fundamentally different approaches to pricing, features, and developer experience.

This comparison breaks down SearchHive vs Exa across the features that actually matter: cost, speed, API coverage, scraping capabilities, and how well each one fits into real production workflows.

Key Takeaways

• Exa charges $7–$15 per 1,000 requests depending on the endpoint (Search, Deep Search, Answer). SearchHive charges $0.0001 per credit — roughly $0.01–0.10 per request depending on complexity.
• SearchHive bundles three APIs (SwiftSearch, ScrapeForge, DeepDive) into one platform. Exa separates Search, Deep Search, Contents, Monitors, and Answer into distinct paid endpoints.
• Exa has no built-in web scraping — it returns page contents and highlights but doesn't handle JavaScript rendering, proxy rotation, or structured data extraction.
• SearchHive starts free with 500 credits. Exa offers 1,000 free requests/month but only for Search.
• For AI agent teams needing search plus scraping plus deep research in a single API, SearchHive delivers significantly more value per dollar.

SearchHive vs Exa — Side-by-Side Comparison

Search Capabilities

Exa Search

Exa's Search endpoint is its core product. It's designed for AI-first use cases — finding relevant web content based on natural language queries rather than keyword matching. The API returns up to 10 results per request by default, with additional results costing $1 per 1,000 per extra result.

The search quality is strong for research-oriented queries. Exa indexes the web with a neural search approach, which means it handles semantic queries well. Cursor, the AI code editor, uses Exa for documentation lookups — a solid endorsement.

However, Exa Search is just search. If you need the actual page content, you pay separately for Contents ($1/1K pages). If you need structured data extraction, that's not available at all.

SearchHive SwiftSearch

SearchHive's SwiftSearch API covers web search, image search, and news search in one endpoint. Pricing is credit-based — a simple web search costs roughly 1 credit ($0.0001), which means 5,000 searches for $0.50 on the Starter plan.

The key difference: SwiftSearch results link directly into ScrapeForge and DeepDive. You search, get results, then immediately scrape the pages or run deep research — all through the same API key, same platform, same billing.

import requests

# SearchHive SwiftSearch — web + image + news in one API
API_KEY = "your-searchhive-api-key"
BASE_URL = "https://api.searchhive.dev/v1"

# Web search
resp = requests.get(
    f"{BASE_URL}/swiftsearch",
    headers={"Authorization": f"Bearer {API_KEY}"},
    params={"query": "best Python web scraping libraries 2026", "limit": 10}
)
results = resp.json()
for r in results.get("results", []):
    print(f"{r['title']} — {r['url']}")

# Exa Search — semantic web search
import requests

EXA_KEY = "your-exa-api-key"

resp = requests.post(
    "https://api.exa.ai/search",
    headers={"x-api-key": EXA_KEY, "Content-Type": "application/json"},
    json={"query": "best Python web scraping libraries", "numResults": 10}
)
results = resp.json()
for r in results.get("results", []):
    print(f"{r['title']} — {r['url']}")

Web Scraping and Content Extraction

This is where the two platforms diverge significantly.

Exa Contents

Exa's Contents endpoint retrieves full page text and AI-generated highlights for $1 per 1,000 pages. It's essentially a page-fetching API — it gets the text content of a URL and returns it in a token-efficient format.

What it doesn't do:

• Render JavaScript-heavy pages (SPAs, React/Angular apps)
• Handle bot detection or proxy rotation
• Extract structured data (prices, tables, product specs)
• Follow pagination or crawl site structures

If you need any of those capabilities, you need a separate scraping tool.

SearchHive ScrapeForge

ScrapeForge is a full web scraping engine. It renders JavaScript pages, rotates proxies automatically, handles CAPTCHAs, and returns structured JSON data using CSS selectors or XPath.

# SearchHive ScrapeForge — structured web scraping
resp = requests.post(
    f"{BASE_URL}/scrapeforge",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "url": "https://news.ycombinator.com",
        "selectors": {
            "title": ".titleline > a",
            "points": ".score",
            "comments": "a[href*=item]"
        }
    }
)
data = resp.json()
for item in data.get("results", []):
    print(f"{item['title']} ({item['points']} points)")

ScrapeForge consumes more credits per request than a simple search (typically 5–25 credits depending on complexity), but the value per credit is still dramatically higher than Exa's per-endpoint pricing.

Deep Research and Answer Engines

Exa Deep Search and Answer

Exa offers two research-oriented endpoints:

• Deep Search ($12/1K requests): Multi-step agent workflows that find and synthesize information from multiple sources. Returns answers with web-grounded citations.
• Answer ($5/1K requests): Faster, single-turn answers with streaming responses and citations.
• Deep-Reasoning Search ($15/1K requests): The newest tier, combining deep search with extended reasoning capabilities.

These are genuinely useful for RAG pipelines and research automation. The citation support is well-implemented.

SearchHive DeepDive

SearchHive's DeepDive combines deep research with the ability to scrape and analyze pages in the same workflow. It's designed for multi-step research tasks that require both search and content extraction.

# SearchHive DeepDive — multi-step research with scraping
resp = requests.post(
    f"{BASE_URL}/deepdive",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "query": "Compare pricing of top 5 web scraping APIs",
        "depth": 3,
        "extract": ["company", "price_per_1k", "features"],
        "format": "structured"
    }
)
research = resp.json()
for source in research.get("sources", []):
    print(f"Source: {source['url']}")
print(f"Answer: {research.get('answer')}")

DeepDive uses credits proportional to the research depth — a 3-step deep dive with 10 source pages might use 50–100 credits ($0.005–$0.01). Compare that to Exa's Deep Search at $0.012 per request, and SearchHive is still significantly cheaper while offering more functionality.

Pricing Deep Dive

Let's look at what 10,000 operations actually costs on each platform.

Exa — 10,000 operations

If you need search + content extraction + answers for 10,000 queries:

• Search: 10,000 × $7/1K = $70
• Contents (10 pages per search): 100,000 × $1/1K = $100
• Answer: 10,000 × $5/1K = $50
• Total: ~$220 for 10,000 enriched searches

SearchHive — 10,000 operations

• SwiftSearch: 10,000 × 1 credit = $1.00
• ScrapeForge (10 pages per search, ~10 credits each): 100,000 × 10 credits = $100 (at credit rate)
• DeepDive (basic answer per query): 10,000 × 10 credits = $10
• Total: ~$111 — and that's on pay-as-you-go credit pricing

On the $49/month Builder plan (100K credits), you get far more capacity. On the $199/month Unicorn plan (500K credits), the per-operation cost drops further.

SearchHive is roughly 2x cheaper for comparable workloads, and that gap widens as volume increases.

When to Choose Exa

Exa makes sense in specific scenarios:

• You only need semantic search and don't require web scraping
• You're building coding agents and want Cursor-style documentation lookup
• You specifically need Exa's neural search ranking (it's genuinely good for research queries)
• Your volume is low enough that the per-request pricing doesn't hurt

Exa's search quality for natural language queries is excellent. If search is your only need and you don't care about scraping or structured extraction, Exa is a solid choice.

When to Choose SearchHive

SearchHive wins in most production scenarios:

• You need search and scraping and research from one platform
• Cost efficiency matters — credit-based pricing scales much better at volume
• You're building AI agents that need to both find and process web content
• JavaScript rendering and proxy management are requirements
• You want structured data extraction, not just page text
• You need a single API key that covers everything

Verdict

Exa is a good semantic search API. SearchHive is a complete web data platform.

If all you need is search, Exa works. But in practice, most teams that start with "just search" quickly need scraping, content extraction, and structured data — and at that point, running Exa + a separate scraping tool + a separate research API means managing three integrations, three billing accounts, and three sets of rate limits.

SearchHive bundles all of this into one platform with unified pricing. At 500 credits free to start and $9/month for 5,000 credits (enough for thousands of searches and hundreds of scrape operations), it's the more practical choice for teams building real products.

Get started free at searchhive.dev — 500 credits, no credit card, full API access. Read the docs or compare with other tools at /compare/exa.

For more comparisons, see /compare/firecrawl and /compare/serpapi.