List stories
const url = 'http://127.0.0.1:8765/api/stories';const options = {method: 'GET'};
try { const response = await fetch(url, options); const data = await response.json(); console.log(data);} catch (error) { console.error(error);}curl --request GET \ --url http://127.0.0.1:8765/api/storiesEvery story of the user, with tags, dates, writer and the jobs that used it. Stories belong to the user, not to a profile. Each story: story_id, title, company, role, period (rough is fine), raw (the user’s own words, kept as said), narrative ({situation, task, action, result}, loosely STAR, every part optional), tags, answers_questions (the interview questions it answers), sources ([{question_id, job_identity}]: the job question that triggered it), jobs (the postings whose assessment cited it: kind used), written_by (operator | agent), created_at, updated_at, revision (send it back on PUT and DELETE) and the last writes in history. An assessment searches the stories locally for each job and puts only the few that match the posting into its prompt as evidence. total counts the stories before q and tag narrow them.
Parameters
Section titled “Parameters”Query Parameters
Section titled “Query Parameters”Only stories whose text holds this.
Only stories with this tag.
Responses
Section titled “Responses”Success.
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Example
{ "schema_version": "scout-stories-response:1", "stories": [ { "answers_questions": [ "Tell me about a time you improved a slow process" ], "company": "Acme", "created_at": "2026-10-02T15:00:00.000000Z", "history": [ { "action": "added", "at": "2026-10-02T15:00:00.000000Z", "by": "agent" } ], "jobs": [], "narrative": { "action": "Moved the runners to Kubernetes and cached the image layers.", "result": "Build time fell 60 percent.", "situation": "Builds took forty minutes and blocked every merge.", "task": "Make the pipeline fast enough to merge several times a day." }, "period": "2023", "raw": "Our builds took forty minutes, so I moved the runners to Kubernetes and cached the layers. It came down to sixteen.", "revision": 1, "role": "Staff Engineer", "sources": [ { "job_identity": "https://boards.greenhouse.io/acme/jobs/101", "question_id": "tooling:kubernetes" } ], "story_id": "story:60_acme_ci_cut_time", "tags": [ "ci", "delivery" ], "title": "Cut CI time 60% at Acme", "updated_at": "2026-10-02T15:00:00.000000Z", "written_by": "agent" } ], "tags": [ "ci", "delivery" ], "total": 1}Forbidden / forbidden_origin: loopback peer and Host 127.0.0.1:<port> or localhost:<port> only (Origin too on writes).
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Examplegenerated
{ "error": { "allowed_keys": [ "example" ], "code": "example", "message": "example" }}Target_unavailable
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{ "error": { "code": "target_unavailable", "message": "..." }}Unknown_key
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{ "error": { "code": "unknown_key", "message": "..." }}