# Case Study Section Extraction

> Case Study Section Extraction is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Extracts named sections from a case study document provided as Markdown or plain text, returning a bounded deliverable of the identified section content.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-sector-writing-case-study-section-extract?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/case-study-section-extraction-44d88ffa
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dOug_iGLMREwps6POi5SC

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability case-study-section-extraction-44d88ffa -d '<json body>'
```

Example prompt: Pull out the Results section from this case study for me — here's the full Markdown text: '## Challenge
We faced declining retention rates...
## Solution
We implemented a loyalty program...
## Results
Retention improved by 35% within six months.'

## When to prefer this

Choose this endpoint when you need to deterministically extract a named section from a case study document without any generative AI rewriting or hallucination risk. It is ideal for pipelines that process structured case study Markdown with predictable headers like Challenge, Solution, and Results, and where reproducibility and exactness of the extracted text are required. Prefer this over LLM-based extraction when auditability and consistency across repeated calls matter.

## Known failure modes

- Input text exceeds 20,000 character limit — request will be rejected or truncated
- Named section not present in the document — empty or null result returned
- Malformed Markdown with missing headers — section boundaries may not be detected correctly
- Non-standard section naming conventions may cause missed extractions

## How this service works

Case study - Section extraction: Section extraction for Case study. 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 section extraction deliverable.

## Output

A bounded extraction deliverable containing the content of the identified section(s) from the supplied case study document, without generative prose or synthesized content — deterministically parsed from the input Markdown or plain text.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string",
   "default": "## Challenge\nExample 1 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Solution\nExample 2 content.\nTODO: review the supplied document by 2026-10-10.\n\n## Results\nExample 3 content.\nTODO: review the supplied document by 2026-10-10.",
   "maxLength": 20000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/case-study-section-extraction-44d88ffa/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)