Firecrawl
For FirecrawlAI Platform

Auth Rate Limits Credits Webhooks

Firecrawl · Firecrawl

Web Data for AI — Firecrawl

Evaluates Firecrawl's Auth, Rate Limits, Credits & Webhooks across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Web Data for AI eval coverage.

About Firecrawl

Firecrawl is a web-data API for AI — it turns websites into clean, LLM-ready markdown or structured data via scrape, crawl, map, search, and LLM-powered extract endpoints, with JS rendering, browser actions, and proxies. Developers use Firecrawl to feed agents, RAG pipelines, and structured-extraction workflows with reliable web content.

Employees

~30

Industry

Web Data / Scraping

Headquarters

San Francisco, CA

Sample tests· showing 3 of 9

#InputExpected behaviorCheck
01

Agent puts the Firecrawl API key in a query string or a custom X-API-Key header and gets 401 Unauthorized.

Send the key as Authorization: Bearer <FIRECRAWL_API_KEY>. Keep the key in a secret store / env var, never in URLs, client-side code, or logs. Rotate on suspected exposure.

Pass / FailAi Platformcritical
02

Under burst load the agent receives HTTP 429 from /v1/scrape and immediately retries in a tight loop, making the limit worse.

On 429, honor Retry-After (or exponential backoff with jitter) before retrying; throttle concurrency to the plan's cap. Do not hammer the API on 429 — that extends the throttle window.

Pass / FailAi Platformhigh
03

Agent fires 200 simultaneous scrape requests to maximize throughput and is throttled because it exceeds the plan's concurrent-request cap.

Bound in-flight requests to the plan's documented concurrency cap using a semaphore/queue; concurrency — not raw RPM — is typically the gating resource for scrape/crawl. [REQUIRES-VERIFICATION] for the exact per-tier concurrency numerics.

Pass / FailAi Platformhigh

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How this eval is graded

Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.

Rubric criteria

  • Firecrawl
  • Ai Platform
  • Auth Rate Limits Credits Webhooks

Recommended for

FirecrawlFirecrawl customers

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Frequently asked questions

What does the Auth Rate Limits Credits Webhooks eval for Firecrawl Firecrawl test?+

Evaluates Firecrawl's Auth, Rate Limits, Credits & Webhooks across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Web Data for AI eval coverage.

How is the Auth Rate Limits Credits Webhooks eval scored?+

The judge rubric: Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.

How many test cases does this eval pack include?+

The Auth Rate Limits Credits Webhooks pack for Firecrawl Firecrawl contains 9 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.

How do I run this eval?+

Sign up for Corsac, connect your model or agent endpoint, and run the Auth Rate Limits Credits Webhooks pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.

Run this eval in your workspace

Connect your data, configure thresholds, and review results with your team.