Glasser

Exa vs Tavily: choose source discovery or research context

What can Exa and Tavily do?

Limits & data comparison

Compare by
Exa
Direct API · Glasser access noted below
Tavily
Direct API · Glasser access noted below
Limits

Up to 25 search requests / second on Developer

Direct plan capacity; Glasser Search supports up to 25 results, with 10 in the base charge.

1,000 requests / minute with production keys

Direct Crawl: 100/min; Research creation: 20/min. Search can return up to 20 results.

Data fields

URLs, titles, dates and optional page text

Use Contents for known URLs; add summaries or highlights when the selected endpoint supports them.

Title, URL, relevance score and matched content

Optional raw content and generated answer; Extract reports failed URLs separately.

Collection & context controls

Domain and date filters; similar-page discovery

Describe the kind of source you need, then fetch the relevant passages.

Search depth, domains, dates and topics

Crawl and Map offer path/depth controls; instructions focus collection on a task.

Execution & Reliability

Search returns its result in one request

Direct Contents supports a live-crawl timeout and per-URL statuses. Handle failed URLs individually.

Search and Extract return in the request; Research is a job

Extract has a configurable wait and per-URL failures. Poll Research status; respect Retry-After on 429 responses.

Glasser access

Search, similar pages, Contents and Answers

Choose a published Glasser operation; provider features can exceed its supported inputs.

Search, Extract, Crawl, Map and Research

All five operations are available through Glasser; depth and volume affect the charge.

Exa vs Tavily pricing

Exa

$7/ 1,000 searches

Auto Search

Results
Up to 10 / search
Billing
Usage-based; no subscription
Contents
Priced separately

Tavily

$8/ 1,000 basic searches

Pay-as-you-go Search

Basic search
1 credit / request
Advanced search
2 credits / request
Optional Project plan
$30/month · 4,000 credits

Task-based cost example

Exa: 1,000 Auto searches with up to 10 results + Tavily: 1,000 basic searches

Task volumeDirect: entry spendGlasser: task charges
Exa: 1,000 Auto searches with up to 10 results$7.001,000 × $0.007; no subscription$7.001,000 × $0.007
Tavily: 1,000 basic searches$8.001,000 × $0.008; no subscription$8.001,000 × $0.008
Entry spend / task charges$15.00$15.00

Inputs and outputs

Exa

  1. InputA question or description of sources
  2. OperationSearch by meaning
  3. OutputRelevant URLs and source snippets

Tavily

  1. InputA question, domains and search depth
  2. OperationSearch and collect context
  3. OutputScored sources and optional answer

Still unsure? Choose based on your task

Why Use Exa and Tavily Through Glasser?

One API Key

Access both providers with one Glasser key.

One Balance

Use one shared balance for both providers.

Pay as You Go

Pay per use, with no Glasser subscription.

Agent-Ready Integration

Connect your agent via Skill, MCP or CLI.

Questions before you choose

Which is better for finding relevant sources?

Exa supports meaning-based discovery and similar-page search. Tavily emphasizes ranked research context and optional answers. Compare the returned sources on your own questions; this page makes no accuracy ranking.

Do I need a separate page-fetch step?

It depends on the output. Exa Contents retrieves known URLs; Tavily Search can include raw content and Tavily Extract handles supplied URLs. Snippets alone may omit details you need to verify an answer.

Can I use Exa and Tavily together in one AI agent?

Yes, for their connected operations. Use Exa to find relevant publications and Tavily to gather research context for a source cross-check. Your agent coordinates the requests using one Glasser key and shared balance.

Can my agent automatically choose between Exa and Tavily?

A tool-using agent can discover endpoints, inspect their inputs and prices, and select an operation for your task. Tell it which output, source filters and request volume you need. Ask for approval before paid calls; Glasser does not make that routing decision for the agent.

How do I control API spending through Glasser?

Search and Inspect are free. Ask your agent to estimate the planned batch, inspect the charge rules and wait for approval before running it. Keep batches small and review final charges; failures can be billable under the endpoint’s rules. The comparison excludes free allowances and does not promise lower unit prices.

Can I use Glasser with Claude Code, Codex and ChatGPT?

Use the Glasser Skill and CLI with local coding agents such as Claude Code or Codex. ChatGPT can connect through the Glasser MCP integration. Follow the setup guide for your client, then inspect the selected operation before making a paid call.

Get the data you need with Glasser.