---
type: "post"
id: "bad-company-data-sends-your-gtm-agents-after-09ae49"
slug: "bad-company-data-sends-your-gtm-agents-after-09ae49"
title: "Bad company data sends your GTM agents after the wrong leads."
description: "Firecrawl has published a benchmark of six company-enrichment APIs using 200 companies."
retrieval_nugget: "Firecrawl has published a benchmark of six company-enrichment APIs using 200 companies."
published_at: "2026-10-21"
updated_at: "2026-10-21"
record_date: "2026-10-21"
date_kind: "published_at"
topics: ["agents","enterprise-agents"]
entities: ["Firecrawl","Apollo.io","People Data Labs","Ocean.io","FullEnrich","ContactOut","Data Legion"]
related_patterns: []
novelty_label: "new_fact"
what_changed: "Firecrawl adds a company-enrichment benchmark: Apollo.io leads most fields, while Ocean.io leads industry accuracy."
prior_refs: ["memory:974a8236-afa2-87d3-a550-1f2df4754a54"]
source_url: "https://www.firecrawl.dev/benchmarks/company-enrichment"
source_urls: ["https://www.firecrawl.dev/benchmarks/company-enrichment"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:bad-company-data-sends-your-gtm-agents-after-09ae49"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/bad-company-data-sends-your-gtm-agents-after-09ae49/","markdown":"https://newruntime.com/posts/bad-company-data-sends-your-gtm-agents-after-09ae49.md","json":"https://newruntime.com/posts/bad-company-data-sends-your-gtm-agents-after-09ae49.json"}
---

# Bad company data sends your GTM agents after the wrong leads.

## Retrieval answer

Firecrawl has published a benchmark of six company-enrichment APIs using 200 companies.

Firecrawl has published a benchmark of six company-enrichment APIs using 200 companies. Each provider was asked to build a company profile from its website. The comparison covers headquarters, employee count, founding year and LinkedIn URL; where available, it also covers industry, ticker and revenue.

On the four fields shared by all providers, Firecrawl reports Apollo.io at 89.3%, followed by People Data Labs at 80.6% and Ocean.io at 78.7%. Across all seven fields, Apollo.io scored 81.6% and People Data Labs 72.0%. Firecrawl says Apollo led six of seven fields; Ocean.io led industry classification at 69.2%.

The source also reports Apollo at 77.2% for employee counts and 82.8% for public-company revenue within 5% of filed figures. LinkedIn URL results were close: Apollo scored 99.2% and People Data Labs 98.8%.

This is a benchmark published by Firecrawl, not an independent audit. The source does not establish provider performance beyond this 200-company dataset, the freshness of returned records, API pricing, coverage, or suitability for a particular GTM workflow.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Agents](https://newruntime.com/topics/agents.md): Explore the agents topic hub.
- topic hub: [Enterprise Agents](https://newruntime.com/topics/enterprise-agents.md): Explore the enterprise-agents topic hub.
- collection: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)
