Crawler comparison
Use Screaming Frog for crawling. Use Index Pulse for the evidence layer your agents and reports can trust.
Screaming Frog, Sitebulb, Ahrefs, Semrush, SE Ranking, and similar tools are strong at finding technical SEO facts. Index Pulse API is built for the next layer: connecting crawl facts with GSC, sitemap intent, schema, entities, history, usage, webhooks, reports, API responses, and MCP-ready answers.
Short version
Stop feeding raw crawl dumps into Claude. Feed it structured evidence: what happened, where it happened, why it matters, how confident the signal is, and what to do next.
Remote MCP endpoint: https://indexpulseapi.com/mcp. OpenAPI endpoint: https://indexpulseapi.com/v1/openapi.json. Workspace tokens stay in Index Pulse; Google OAuth secrets do not go into MCP clients.
What each tool should own
| Need | Crawler or SEO suite | Index Pulse API |
|---|---|---|
| Raw crawl data | Great for deep desktop or suite crawling, exports, tabs, filters, and one-off investigations. | Stores the important crawl evidence in a workspace and exposes it as structured API/report rows. |
| GSC context | Useful integrations exist, but users still need to interpret and operationalize contradictions. | Turns GSC plus crawl facts into explicit contradictions, risk, confidence, and next action. |
| Crawl waste | Finds many waste symptoms across a crawl. | Quantifies waste by site/client/workspace and explains whether it is sitemap, redirect, noindex, robots, canonical, or fetch-driven. |
| Schema and entities | Can surface structured data issues or extraction rows. | Builds schema/entity coverage evidence that an MCP client, report, or product widget can query directly. |
| AI/MCP usage | Good for controlling or querying crawl data. | Designed to return small, grounded payloads so agents do not waste context on raw exports. |
| Monitoring and automation | Often handled outside the crawler with exports or external workflows. | Owns snapshots, history, alerts, usage, webhooks, and recurring report/API surfaces. |
Example workflow: crawl to evidence to agent
When to use a crawler first
- You need a full manual desktop crawl with heavy custom extraction.
- You are debugging JavaScript rendering or crawl configuration interactively.
- You need an analyst to inspect hundreds of raw columns by hand.
When to use Index Pulse
- You need an API or MCP tool to answer from trusted evidence.
- You need GSC contradictions, crawl waste, schema/entity context, and report-ready actions.
- You want recurring monitoring, snapshots, alerts, usage, and client/workspace organization.
Structured evidence object
This is the shape Index Pulse should keep making louder: one row that tells an agent or developer exactly what matters without shipping an entire crawl export.
{
"url": "https://example.com/pricing",
"source": ["crawl", "gsc", "sitemap", "schema"],
"risk_score": 82,
"gsc_contradiction": "submitted_but_not_indexed",
"crawl_waste_reason": "indexable_sitemap_url_returns_noindex",
"evidence": {
"http_status": 200,
"meta_robots": "noindex,follow",
"in_sitemap": true,
"schema_types": ["Product", "Organization"]
},
"recommended_action": "Remove noindex if this page should rank, or remove it from the indexable sitemap."
}
The honest positioning
Index Pulse API does not need to pretend crawlers are bad. The pitch is stronger when it says: keep your crawler if you love it, then use Index Pulse to turn crawl, GSC, sitemap, schema, and entity evidence into the cleaner layer that agents, reports, and automations need.