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Find local businesses, enrich them with emails and socials, and run lead pipelines from your AI.

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Status
Unhealthy
Uptime
0.0% over the last 24 hours
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP
URL
ChatGPT
–
Claude
–

TDQS

A3.6/5.0

Scored across 13 tools

Disambiguation5/5

Each tool targets a distinct resource or action: creation tools (scrap, enrichment, pipeline, veille) are clearly separated, estimation and retrieval tools (estimate_scrap, get_job, get_job_results, get_events) have unique purposes, and listing tools cover different entity types (jobs, modules, pipelines, veilles). No two tools appear to perform the same function, even the three get_* tools are clearly scoped to status, results, and events.

Naming Consistency5/5

Tool names follow a consistent verb_noun pattern: create_* for starting actions, get_* for retrieving specific items, list_* for enumerations, and a single estimate_* verb for cost estimation. All names are in lowercase snake_case with no mixing of conventions, making the pattern highly predictable.

Tool Count5/5

With 13 tools, the server is well-scoped for a data extraction and enrichment platform. Each tool addresses a distinct aspect of the lifecycle—creation, estimation, listing, retrieval, monitoring, and schema discovery—without unnecessary redundancy or overwhelming breadth.

Completeness4/5

The tool surface covers the core workflows: creating jobs (scrap, enrichment, pipeline, veille), estimating costs, retrieving status and results, listing resources, and accessing events. Minor gaps exist, such as no explicit tool for deleting or canceling jobs/pipelines, but these may be outside the intended domain, and the presence of get_events and pipeline_schema fills important monitoring and configuration needs.

Tool Schema Changelog

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