Visitor takeaway
38/100
Low AI-discovery coverage across description, prompts, keywords, visuals, tool metadata, health, and freshness.

by PredictLeads(Community)
Visitor takeaway
38/100
Low AI-discovery coverage across description, prompts, keywords, visuals, tool metadata, health, and freshness.
Routing category
Needs category
This listing is missing a primary category, which weakens browse placement and AI recommendation routing.
Connector evidence
Not verified
Tedix cannot currently verify live MCP tools from the endpoint, so visitors should treat capabilities as unconfirmed.
Directory freshness
7h ago
Catalog metadata was refreshed 7h ago (July 25, 2026).
Give your AI assistant structured intelligence on millions of companies worldwide. Data sourced directly from company websites, career pages, news outlets, SEC filings, and review sites. Continuously refreshed, with 5+ years of history. Every API endpoint is a native tool: ask natural-language questions, get structured answers. - Enrich known companies by domain name: news, job postings, technographics, key customers, lookalikes. - Discover net new companies by criteria: technologies used, hiring activity, funding received and more. Filtered by location, size, and industry. Signal types: News Events (launches, partnerships, leadership changes...), Job Openings (with salaries, seniority, locations), Technology Detections, Financing Events, Similar Companies, SEC Filings (as Markdown), Product offerings, Key Customers, and GitHub Activity. Built for GTM teams, researchers, and investors running agentic workflows that need live, structured company data.
No special capabilities listed
PredictLeads is indexed by Tedix as a structured ai application listing for AI assistants, search crawlers, and users comparing agent-ready apps.
Use this page to understand whether PredictLeads is relevant for general AI app workflows in AI assistants.
For MCP discovery, this listing helps crawlers connect PredictLeads to tool, resource, prompt, and server-health signals instead of treating it as a generic directory entry.
The canonical Tedix directory URL is https://tedix.dev/apps/predictleads/.
Tedix identifies PredictLeads from Upstream Mcp tool source; Store sources: ChatGPT app store; Distribution: Ecosystem Directory; Tenant install: A platform catalog operator must create or reconcile the base app before tenants can install this entry.. Availability is reported for US, FR, GB, ES, KR, IN.
Authentication: Requires Login. No special capability flags are currently listed. Current MCP inventory reports 0 tools, 0 resources, and 0 prompts.
Public trust signals for visitors and practical recommendations for publishers. Use this section to understand what Tedix can verify today and what would make the app easier for AI agents to find.
Visitor takeaway
38/100
Low AI-discovery coverage across description, prompts, keywords, visuals, tool metadata, health, and freshness.
Routing category
Needs category
This listing is missing a primary category, which weakens browse placement and AI recommendation routing.
Connector evidence
Not verified
Tedix cannot currently verify live MCP tools from the endpoint, so visitors should treat capabilities as unconfirmed.
Directory freshness
7h ago
Catalog metadata was refreshed 7h ago (July 25, 2026).
Live tools
Unavailable
No verified tool inventory while the endpoint is failing.
Resources
Not verified
Resource discovery resumes after health checks recover.
Prompts
Not verified
Prompt inventory is not shown until the MCP scan succeeds.
Tedix cannot currently verify this MCP endpoint. The listing metadata is still useful, but visitors should not assume live tools are available until health checks recover.
https://mcp.predictleads.comLow
38 of 100 — how easily AI agents can find this app
Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.
Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.
Choose a primary catalog category so visitors and AI agents can route this app into the right browse and recommendation surfaces.
MCP capabilities are not currently discovered. Fix endpoint/auth handshake to restore tool-level discoverability.
Add at least 2 screenshots that show real workflows to increase confidence and conversion.