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Decision Record – Action-Marker Line Extraction
x402
Decision Record – Action-Marker Line Extraction is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Extracts TODO/action-marker lines from a decision record document (Markdown or plain text) using deterministic processing.
Price / call$0.01
Success—
StatusUnknown
How this service works
Decision record - Action-marker line extraction: Action-marker line extraction for Decision record. Supplied Markdown or plain text, up to 20,000 characters. Deterministic processing and document templates; no generative prose or fact checking. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded action-marker line extraction deliverable.
Output
A list of extracted action-marker lines (e.g. TODO items) found within the supplied decision record document, returned as a bounded, deterministic deliverable with no generative prose added.
Example use cases
Audit ADR for outstanding action items
“I have an architecture decision record written in Markdown — can you scan it and pull out every TODO or action-marker line so I can track what still needs to be done?”
Pre-review action item extraction
“Before we review this decision record in our next sprint, extract all the TODO lines from it so we can assign owners: '## Context
TODO: confirm compliance requirements by 2026-09-01.
## Decision
Adopt microservices.
TODO: schedule architecture review by 2026-10-15.'”
Automated pipeline action-line harvesting
“As part of our doc pipeline, pull all action-marker lines from this decision record text so we can feed them into our task tracker automatically.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-writing-decision-record-action-lines?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need deterministic, rule-based extraction of action-marker lines (TODOs) specifically from decision record documents. It is purpose-built for the decision record document type and applies no generative AI, making results reproducible and auditable. Prefer this over general-purpose LLM extraction when consistency and cost predictability matter.
Side effects
- Input text exceeds 20,000 character limit — request rejected
- No action-marker lines found in document — empty result returned
- Malformed input (non-text content) — processing error
- Payment not confirmed — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Tags
x402
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