Parallel Data Enrichment
Published by harshanandak in forge
What this skill does
Structured company and entity data enrichment using Parallel AI Task API with core/base processors. Returns typed JSON output. No binary install — requires PARALLEL_API_KEY in .env.local.
Add Parallel Data Enrichment to your agent
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Install with a prompt
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add this skill "parallel-data-enrichment" from https://github.com/harshanandak/forgeInstall with the CLI
Run this command in a controlled environment after reviewing the repository:
npx skills add https://github.com/harshanandak/forge --skill parallel-data-enrichmentSkill instructions
Parallel Data Enrichment
Enrich company or entity data into structured JSON using the Task API. Use core (1-5 min, $0.025) or base (15-100s, $0.01) for structured output.
CLI alternative (recommended): Install
parallel-clifor official skill:npx skills add parallel-web/parallel-agent-skills --skill parallel-data-enrichment
Setup
API_KEY=$(grep "^PARALLEL_API_KEY=" .env.local | cut -d= -f2)
Create Enrichment Task
curl -s -X POST "https://api.parallel.ai/v1beta/tasks/runs" \
-H "x-api-key: $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": "OpenAI",
"processor": "core",
"output_schema": {
"type": "object",
"properties": {
"name": {"type": "string"},
"founded_year": {"type": "integer"},
"headquarters": {"type": "string"},
"employee_count": {"type": "integer"},
"key_products": {"type": "array", "items": {"type": "string"}}
}
}
}'
Response: {"id": "task_abc123", "status": "queued"}
Check Result
curl -s "https://api.parallel.ai/v1beta/tasks/runs/task_abc123" \
-H "x-api-key: $API_KEY"
{
"id": "task_abc123",
"status": "completed",
"result": {
"content": {
"name": "OpenAI",
"founded_year": 2015,
"headquarters": "San Francisco, CA",
"employee_count": 770,
"key_products": ["ChatGPT", "GPT-4", "DALL-E", "Whisper"]
},
"basis": {
"citations": [{"url": "...", "excerpt": "..."}]
}
}
}
Processors
| Processor | Speed | Cost | Use For |
|---|---|---|---|
| base | 15-100s | $0.01/task | Quick lookups, simple data |
| core | 1-5 min | $0.025/task | Enrichment, verification, structured data |
Tips for output_schema
- Keep schemas simple — fewer fields = more reliable
- Use
"type": "string"broadly; avoid strict enums - Omit optional fields from the schema
When to Use
- Company or person data enrichment
- Structured data extraction with typed schemas
- Lead qualification, CRM enrichment, research
For narrative reports, use parallel-deep-research. For web search, use parallel-web-search.
Files included
- SKILL.md
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