Parallel API Guide for GTM Workflows

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Playbook

• Use parallel_run_task, parallel_search, and parallel_extract for agent-friendly workflows.
• Use the paid REST actions parallel_search and parallel_extract for every Play, enrich, map, dataset, batch, repeated, unattended, or production workload.
• The free anonymous parallel_search_mcp and parallel_fetch_mcp actions are exact-name tools for small, direct, one-off exploration only. They are intentionally omitted from general tool discovery.
• Never put a free MCP action in a Play or scale loop. Use parallel_search or parallel_extract instead.
• Prefer parallel_search first for attendee/discovery workflows, then parallel_extract for targeted pages.
• parallel_search_mcp is only for an explicitly requested lightweight lookup where zero provider spend matters more than reliability or REST-side controls.
• parallel_fetch_mcp is only for directly reading a small set of URLs during that same exploratory session.
• Use parallel_run_task when you need synthesized, schema-shaped outputs from multiple sources.
• Call parallel_run_task first. If it finishes quickly, use that result.
• If parallel_run_task returns pending or times out, keep the run_id and use parallel_get_task_run_result later to fetch the final output.
• Ignore parallel_get_task_run unless you specifically need run metadata like status timestamps or processor info.
• Keep monitor/stream endpoints out of default flows unless a user explicitly needs them.
• Pilot on a small objective first, then widen max_results and scope.
• For a direct exploratory MCP call, pass a stable session_id across related calls when possible to reduce anonymous-tier throttling. A session id does not make MCP suitable for scale.

deepline tools execute parallel_search --payload '{"mode":"agentic","objective":"Find recent hiring and launch signals for OpenAI","max_results":5,"excerpts":{"max_chars_per_result":1200,"max_chars_total":10000}}'

deepline tools execute parallel_search_mcp --payload '{"objective":"Find recent OpenAI product announcements","search_queries":["OpenAI recent announcements","site:openai.com/news OpenAI product"],"session_id":"demo-session"}'

deepline tools execute parallel_extract --payload '{"urls":["https://openai.com/research/index/release/"],"objective":"Extract key product launch signal, release summary, and source evidence","full_content":true}'

deepline tools execute parallel_fetch_mcp --payload '{"urls":["https://openai.com/news"],"objective":"Extract the latest product announcement headlines","search_queries":["OpenAI latest product announcements"],"session_id":"demo-session"}'

deepline tools execute parallel_run_task --payload '{"processor":"lite-fast","input":"Summarize key GTM signals for OpenAI from recent public web sources in 3 bullets."}'

deepline tools execute parallel_get_task_run_result --payload '{"run_id":"trun_123"}'

deepline tools execute parallel_search --payload '{"objective":"Find AI companies that raised Series A funding in 2024 with source links","max_results":10}'
deepline tools execute parallel_extract --payload '{"urls":["https://techcrunch.com/2024/12/20/heres-the-full-list-of-49-us-ai-startups-that-have-raised-100m-or-more-in-2024/"],"objective":"Extract company name, funding round, amount, date, and source evidence","excerpts":true}'