How do I install the Dievio Lead Search API skill?

Run npx skillmds@latest add hundevmode/dievio-lead-search-api in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Which AI agents work with Dievio Lead Search API?

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Is Dievio Lead Search API free to use?

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Who published Dievio Lead Search API?

hundevmode (@hundevmode) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Dievio Lead Search API by hundevmode

Name: Dievio Lead Search API
Author: hundevmode

Dievio Lead Search API

Run Dievio lead search and LinkedIn lookup workflows through the public API with correct authentication, filters, pagination, and credit-aware handling. Use this skill when users need to find B2B leads, enrich LinkedIn URLs with emails/phones, apply Dievio filter fields, or iterate across paginated API results safely.

hundevmode e2b27a2 4 files · 9.4 KB Updated Sep 17, 2026

File contents

Dievio Lead Search Api

Overview

Use this skill for end-to-end Dievio API execution: authenticate requests, submit lead searches, enrich LinkedIn profiles, and paginate results. Prefer the bundled script for deterministic request formatting and response handling.

Core Endpoints

Public lead search: POST https://dievio.com/api/public/search
LinkedIn lookup: POST https://dievio.com/api/linkedin/lookup

Authentication headers (use one):

Authorization: Bearer YOUR_API_KEY
X-API-Key: YOUR_API_KEY

Workflow

Validate credentials:

Require DIEVIO_API_KEY for API-key flows.
Never print raw secrets.

Build request body:

Search endpoint uses pagination keys (_page, _per_page, max_results) plus filters.
LinkedIn lookup requires linkedinUrls and optional output flags.

Execute request and parse response:

Validate success, count, has_more, next_page, data arrays.
Respect credit behavior: low credits can return fewer rows than requested.

Handle errors:

401: missing/invalid credentials
402: insufficient credits
502: upstream lead service issue
500: server error

Commands

Show help:

python3 scripts/dievio_api.py --help

Search with JSON body:

export DIEVIO_API_KEY="your_api_key"
python3 scripts/dievio_api.py search \
  --body-file ./search_body.json \
  --auto-paginate

By default the CLI prints a safe summary. Use --raw-output only when you explicitly need full rows (which may contain emails/phones).

LinkedIn lookup from URLs:

python3 scripts/dievio_api.py linkedin-lookup \
  --linkedin-url "https://www.linkedin.com/in/example-1" \
  --linkedin-url "https://www.linkedin.com/in/example-2" \
  --include-work-emails \
  --include-personal-emails \
  --only-with-emails

Decision Rules

Use search when query is filter-based lead discovery.
Use linkedin-lookup when input is explicit LinkedIn profile URLs.
For large pulls, enable pagination and stop on has_more=false.
Keep outputs structured and include paging fields for traceability.
If user asks for exact filter values, read references/filters-cheatsheet.md.

References

API contracts: references/api-reference.md
Filter fields and allowed values: references/filters-cheatsheet.md
Pagination behavior: references/pagination.md
Error handling guidance: references/errors.md

---name: dievio-lead-search-apidescription: Run Dievio lead search and LinkedIn lookup workflows through the public API with correct authentication, filters, pagination, and credit-aware handling. Use this skill when users need to find B2B leads, enrich LinkedIn URLs with emails/phones, apply Dievio filter fields, or iterate across paginated API results safely.---# Dievio Lead Search Api## OverviewUse this skill for end-to-end Dievio API execution: authenticate requests, submit lead searches, enrich LinkedIn profiles, and paginate results.Prefer the bundled script for deterministic request formatting and response handling.## Core Endpoints- Public lead search: `POST https://dievio.com/api/public/search`- LinkedIn lookup: `POST https://dievio.com/api/linkedin/lookup`Authentication headers (use one):- `Authorization: Bearer YOUR_API_KEY`- `X-API-Key: YOUR_API_KEY`## Workflow1. Validate credentials:- Require `DIEVIO_API_KEY` for API-key flows.- Never print raw secrets.2. Build request body:- Search endpoint uses pagination keys (`_page`, `_per_page`, `max_results`) plus filters.- LinkedIn lookup requires `linkedinUrls` and optional output flags.3. Execute request and parse response:- Validate `success`, `count`, `has_more`, `next_page`, data arrays.- Respect credit behavior: low credits can return fewer rows than requested.4. Handle errors:- `401`: missing/invalid credentials- `402`: insufficient credits- `502`: upstream lead service issue- `500`: server error## CommandsShow help:```bashpython3 scripts/dievio_api.py --help```Search with JSON body:```bashexport DIEVIO_API_KEY="your_api_key"python3 scripts/dievio_api.py search \ --body-file ./search_body.json \ --auto-paginate```By default the CLI prints a safe summary.Use `--raw-output` only when you explicitly need full rows (which may contain emails/phones).LinkedIn lookup from URLs:```bashpython3 scripts/dievio_api.py linkedin-lookup \ --linkedin-url "https://www.linkedin.com/in/example-1" \ --linkedin-url "https://www.linkedin.com/in/example-2" \ --include-work-emails \ --include-personal-emails \ --only-with-emails```## Decision Rules- Use `search` when query is filter-based lead discovery.- Use `linkedin-lookup` when input is explicit LinkedIn profile URLs.- For large pulls, enable pagination and stop on `has_more=false`.- Keep outputs structured and include paging fields for traceability.- If user asks for exact filter values, read [references/filters-cheatsheet.md](references/filters-cheatsheet.md).## References- API contracts: [references/api-reference.md](references/api-reference.md)- Filter fields and allowed values: [references/filters-cheatsheet.md](references/filters-cheatsheet.md)- Pagination behavior: [references/pagination.md](references/pagination.md)- Error handling guidance: [references/errors.md](references/errors.md)

Frequently asked questions