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Decision Record - Bounded Text Chunks
x402
Decision Record - Bounded Text Chunks 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).
Splits a decision record document (Markdown or plain text) into bounded text chunks of a specified maximum character size using deterministic processing.
Price / call$0.01
Success—
StatusUnknown
How this service works
Decision record - Bounded text chunks: Bounded text chunks 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 bounded text chunks deliverable.
Output
Returns a list of bounded text chunks derived from the input decision record document, each no longer than the specified max_characters value (100–4000 characters). Processing is deterministic — same input always yields the same chunks. No generative content is added.
Example use cases
ADR ingestion into vector store
“I have this architecture decision record I want to index into a vector database — can you split it into chunks of 500 characters each? Here's the full Markdown text: '## Context
The team evaluated three caching strategies.
## Decision
We adopted Redis.
## Consequences
Infrastructure complexity increases.'”
Decision log chunking for LLM context
“Break this decision record into segments of up to 1200 characters so I can feed each piece into an LLM without hitting context limits: '## Context
Legacy monolith causing deployment bottlenecks.
## Decision
Migrate to microservices architecture.
## Consequences
Requires significant refactoring effort.'”
Preparing decision docs for search indexing
“Split this decision record Markdown into 600-character bounded chunks so I can index each one for full-text search: '## Context
API versioning was inconsistent across services.
## Decision
Adopt semantic versioning company-wide.
## Consequences
All teams must update their release pipelines.'”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-writing-decision-record-chunks?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to deterministically segment a decision record (ADR or similar) into bounded chunks for downstream use cases like vector embedding, search indexing, or LLM context window preparation. Prefer this over generic text splitters when working within a structured decision-record workflow on the datapackvibe platform, especially when cost predictability ($0.01/call) matters.
Side effects
- Input text exceeds 20,000 character limit — request rejected
- max_characters below 100 or above 4000 — validation error
- Empty or missing text field — may return empty chunk list or error
- Malformed request body — HTTP 400 or payment gateway error
- Payment not processed — HTTP 402 returned before chunking occurs
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| max_characters | integer |
Tags
x402
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