Trials

Overview

Every registered clinical study — design, arms, eligibility, outcomes — one document per NCT id.

status: live
document id: nct_id e.g. NCT02082496
citation: [NCT02082496]
updated: 2026-10

Common calls

Find trials

POST /v1/trials/search {"query": "GLP-1 用于肥胖的三期试验", "filters": {"phase": "PHASE3", "overall_status": "RECRUITING"}}

Read one trialGET /v1/trials/read/NCT02082496

List a field's valuesGET /v1/trials/facets?field=phase

The fine print

Filter by condition_mesh (controlled terms); `conditions` is free text as entered by the registrant.
Eligibility highlights, biomarkers, prior therapy and ECOG are model-extracted from the eligibility text — verify against the record before acting.
97k studies carry overall_status=UNKNOWN: the registrant stopped updating, which does not mean the trial ended.
The index holds no full text: level=full is not available yet (the full registry record lives on NAS (ctgov/bulk) and is not in the index).

Search

POST/v1/trials/search

Hybrid retrieval, one card per hit. 2 credits. Free sample: glp-1 obesity phase 3.

Filter fields

field	type · ops	meaning
phase	keyword · eq anyEARLY_PHASE1 · PHASE1 · PHASE2 · PHASE3 · PHASE4 · NA	Trial phase
overall_status	keyword · eq anyRECRUITING · NOT_YET_RECRUITING · ACTIVE_NOT_RECRUITING · ENROLLING_BY_INVITATION · COMPLETED · TERMINATED · WITHDRAWN · SUSPENDED · UNKNOWN	Recruitment status
study_type	keyword · eq anyINTERVENTIONAL · OBSERVATIONAL · EXPANDED_ACCESS	Study type
intervention_type	keyword · eq anyDRUG · BIOLOGICAL · DEVICE · PROCEDURE · BEHAVIORAL · DIAGNOSTIC_TEST … 11 values, /facets lists them all	Intervention type
condition_mesh	keyword · eq any	Condition MeSH term (controlled, more reliable than free-text conditions)
countries	keyword · eq any	Trial countries
start_year	integer · eq range	Start year, range
has_results	bool · eq	Results posted
sponsor_class	keyword · eq anyINDUSTRY · NIH · FED · OTHER_GOV · NETWORK · INDIV · OTHER	Sponsor class

10 more, all usable

field	type · ops	meaning
sex	keyword · eqALL · FEMALE · MALE	Sex eligibility
sponsor	keyword · eq any	Sponsor name (exact)
intervention_mesh	keyword · eq any	Intervention MeSH term
biomarker_names	keyword · eq any	Biomarkers named in eligibility (model-extracted)
performance_status	keyword · eq any	Performance-status requirement, e.g. ECOG 0-1 (model-extracted)
treatment_naive	bool · eq	Requires treatment-naive patients (model-extracted)
enrollment	integer · eq range	Enrolment, range
age_min_years	integer · eq range	Minimum age, range
age_max_years	integer · eq range	Maximum age, range
completion_year	integer · eq range	Completion year, range

Parameters

Parameter	Type	Description
query REQUIRED	string	1–1000 characters. Or an array of up to 5 (batch; hits become results[]).
top_k	integer= 10	1–100.
fields	brief · head= brief	head costs one more credit and returns the head view per hit.
filters	json	Filter DSL object (see Getting started); declared fields are listed above.
mode	hybrid · dense · bm25= hybrid	Retrieval mode. Leave it out to use the first.
offset	integer= 0	Pagination.

Example

{ "domain": "trials", "query": "…", "hits": [ { "id": "NCT02082496", "score": 0.83, "brief": { … } } ], "total": null, "coverage": …, "warnings": [],
  "meta": { "request_id": "req_…", "credits": { "charged": 2, "balance": 1998, "pool": "allowance" }, "latency_ms": 41, "cached": false } }

Undeclared filter fields return 400 rather than being ignored silently. Filters combine with AND; _or / _not are available.

Read

GET/v1/trials/read/{nct_id}

Three depths. detail is the default. Free sample: NCT02082496.

Levels

level	credits	returns
brief	1	Card: the fields needed to triage, same as in search hits
detail (default)	2	Every structured field (rule-derived plus model-generated; model fields are listed in _enrich.fields)
full	5	Full text (not available yet: the full registry record lives on NAS (ctgov/bulk) and is not in the index)

Parameters

Parameter	Type	Description
nct_id (path) REQUIRED	string	Document id (nct_id).
level	brief · detail · full= detail	How deep to read.
format	json · md · html= json	Response shape.

Example

{ "domain": "trials", "id": "NCT02082496", "level": "detail", "view": "head", "data": { … } | "text": "…", "token_count": 1834, "meta": { … } }

The older GET /v1/trials/doc/{id}?view=… still works.

Read many

POST/v1/trials/read

Up to 50 ids, one level. Missing ids come back with error: "not_found" and are not charged.

Parameters

Parameter	Type	Description
ids REQUIRED	string[]	Document ids.
level	brief · detail · full= detail	Level for every id.

Example

{ "domain": "trials", "level": "detail", "docs": [ { "id": "…", "data": { … } }, { "id": "…", "error": "not_found" } ], "meta": { … } }

Facets

GET/v1/trials/facets?field={field}

Legal values for a filter field, so an agent never guesses; precomputed fields carry counts, declared enums come without. Free, no key.

Parameters

Parameter	Type	Description
field REQUIRED	phase · overall_status · study_type · intervention_type · sponsor_class · sex · countries · condition_mesh	Filter field with facets.
limit	integer= 50	Max values.

Example

{ "domain": "trials", "field": "…", "values": [ { "value": "…", "count": 3120 } ], "meta": { … } }

Askregistered key+ /stream

POST/v1/trials/ask

Agentic Q&A over this domain: the model turns the question into filters plus keywords from the domain's own self-description, reads the hits and answers with [trials: ] citations; /stream is NDJSON with real token deltas. <code>effort</code> low / medium / high = 50 / 100 / 200 credits. Append <code>/stream</code> for NDJSON; the first event is always <code>billing</code>. A failure before the first <code>answer_delta</code> is refunded.</div> <h4>Parameters</h4> <div class="tblwrap"><table class="tbl t3 tparam"> <thead><tr><th>Parameter</th><th>Type</th><th>Description</th></tr></thead> <tbody> <tr> <td>query<span class="req"> REQUIRED</span></td> <td class="ty">string</td> <td>1–2000 characters. Be specific; ask for numbers if you want numbers.</td> </tr><tr> <td>effort</td> <td class="ty">low · medium · high<span class="def">= low</span></td> <td>Reading rounds, and the price: 50 / 100 / 200 credits. Your plan caps it.</td> </tr><tr> <td>verbose</td> <td class="ty">bool<span class="def">= false</span></td> <td>Include the tool-call trace (tool_call / tool_result / thinking events when streaming).</td> </tr><tr> <td>top_k</td> <td class="ty">integer<span class="def">= 10</span></td> <td>Speculative prefetch size.</td> </tr><tr> <td>stream_answer</td> <td class="ty">bool<span class="def">= true</span></td> <td>Streaming only: false emits one answer event instead of deltas.</td> </tr><tr> <td>max_rounds</td> <td class="ty">integer</td> <td>0–8, overrides the effort preset.</td> </tr><tr> <td>force_answer_after</td> <td class="ty">number</td> <td>Seconds; hard cutover into the answer phase.</td> </tr><tr> <td>max_answer_tokens</td> <td class="ty">integer<span class="def">= 4096</span></td> <td>Hitting it sets answer_truncated.</td> </tr><tr> <td>language</td> <td class="ty">string</td> <td>Answer language; defaults to the query’s.</td> </tr> </tbody> </table></div> <h4>Example</h4> <pre class="code">{ "answer": "… [NCT02082496] …", "sources": [ … ], "stats": { "rounds": 1, "elapsed_s": 6.2, "answer_truncated": false }, "coverage"?: { … }, "meta": { "credits": { "charged": 50, … } } }</pre> <div class="callout "><b>Citations are real</b> — every id in <code>answer</code> exists in this domain (format <code>[NCT02082496]</code>). <b><code>sources</code> is the retrieval set</b>, not the citation list. <b><code>answer_truncated</code> means incomplete.</b></div> </section> </div> </div> <aside class="pg" data-playground> <div class="pg-handle" data-pg-handle></div> <div class="pg-head"><b>Playground</b><span class="hint">Follows the section you are reading</span><button class="icon-btn" data-pg-close type="button" aria-label="Close">✕</button></div> <div class="pg-body" data-pg-body></div> <script type="application/json" data-pg-specs>[{"id":"trials-search","domain":"trials","method":"POST","path":"/v1/trials/search","auth":"optional","status":"live","title":{"en":"Search","zh":"检索"},"summary":{"en":"Hybrid retrieval, one card per hit. 2 credits. Free sample: <code>glp-1 obesity phase 3</code>.<h4 class=\"sub\">Filter fields</h4><div class=\"tblwrap\"><table class=\"tbl t3\"><thead><tr><th>field</th><th>type · ops</th><th>meaning</th></tr></thead><tbody><tr><td class=\"mono\">phase</td><td class=\"mono dim\">keyword · eq any<span class=\"vals\">EARLY_PHASE1 · PHASE1 · PHASE2 · PHASE3 · PHASE4 · NA</span></td><td>Trial phase</td></tr><tr><td class=\"mono\">overall_status</td><td class=\"mono dim\">keyword · eq any<span class=\"vals\">RECRUITING · NOT_YET_RECRUITING · ACTIVE_NOT_RECRUITING · ENROLLING_BY_INVITATION · COMPLETED · TERMINATED · WITHDRAWN · SUSPENDED · UNKNOWN</span></td><td>Recruitment status</td></tr><tr><td class=\"mono\">study_type</td><td class=\"mono dim\">keyword · eq any<span class=\"vals\">INTERVENTIONAL · OBSERVATIONAL · EXPANDED_ACCESS</span></td><td>Study type</td></tr><tr><td class=\"mono\">intervention_type</td><td class=\"mono dim\">keyword · eq any<span class=\"vals\">DRUG · BIOLOGICAL · DEVICE · PROCEDURE · BEHAVIORAL · DIAGNOSTIC_TEST <span class=\"dim\">… 11 values, /facets lists them all</span></span></td><td>Intervention type</td></tr><tr><td class=\"mono\">condition_mesh</td><td class=\"mono dim\">keyword · eq any</td><td>Condition MeSH term (controlled, more reliable than free-text conditions)</td></tr><tr><td class=\"mono\">countries</td><td class=\"mono dim\">keyword · eq any</td><td>Trial countries</td></tr><tr><td class=\"mono\">start_year</td><td class=\"mono dim\">integer · eq range</td><td>Start year, range</td></tr><tr><td class=\"mono\">has_results</td><td class=\"mono dim\">bool · eq</td><td>Results posted</td></tr><tr><td class=\"mono\">sponsor_class</td><td class=\"mono dim\">keyword · eq any<span class=\"vals\">INDUSTRY · NIH · FED · OTHER_GOV · NETWORK · INDIV · OTHER</span></td><td>Sponsor class</td></tr></tbody></table></div><details class=\"adv\"><summary>10 more, all usable</summary><div class=\"tblwrap\"><table class=\"tbl t3\"><thead><tr><th>field</th><th>type · ops</th><th>meaning</th></tr></thead><tbody><tr><td class=\"mono\">sex</td><td class=\"mono dim\">keyword · eq<span class=\"vals\">ALL · FEMALE · MALE</span></td><td>Sex eligibility</td></tr><tr><td class=\"mono\">sponsor</td><td class=\"mono dim\">keyword · eq any</td><td>Sponsor name (exact)</td></tr><tr><td class=\"mono\">intervention_mesh</td><td class=\"mono dim\">keyword · eq any</td><td>Intervention MeSH term</td></tr><tr><td class=\"mono\">biomarker_names</td><td class=\"mono dim\">keyword · eq any</td><td>Biomarkers named in eligibility (model-extracted)</td></tr><tr><td class=\"mono\">performance_status</td><td class=\"mono dim\">keyword · eq any</td><td>Performance-status requirement, e.g. ECOG 0-1 (model-extracted)</td></tr><tr><td class=\"mono\">treatment_naive</td><td class=\"mono dim\">bool · eq</td><td>Requires treatment-naive patients (model-extracted)</td></tr><tr><td class=\"mono\">enrollment</td><td class=\"mono dim\">integer · eq range</td><td>Enrolment, range</td></tr><tr><td class=\"mono\">age_min_years</td><td class=\"mono dim\">integer · eq range</td><td>Minimum age, range</td></tr><tr><td class=\"mono\">age_max_years</td><td class=\"mono dim\">integer · eq range</td><td>Maximum age, range</td></tr><tr><td class=\"mono\">completion_year</td><td class=\"mono dim\">integer · eq range</td><td>Completion year, range</td></tr></tbody></table></div></details>","zh":"混合检索，每条命中一张卡片。2 credits。免费样例：<code>glp-1 obesity phase 3</code>。<h4 class=\"sub\">过滤字段</h4><div class=\"tblwrap\"><table class=\"tbl t3\"><thead><tr><th>字段</th><th>类型 · op</th><th>含义</th></tr></thead><tbody><tr><td class=\"mono\">phase</td><td class=\"mono dim\">keyword · eq any<span class=\"vals\">EARLY_PHASE1 · PHASE1 · PHASE2 · PHASE3 · PHASE4 · NA</span></td><td>分期</td></tr><tr><td class=\"mono\">overall_status</td><td class=\"mono dim\">keyword · eq any<span class=\"vals\">RECRUITING · NOT_YET_RECRUITING · ACTIVE_NOT_RECRUITING · ENROLLING_BY_INVITATION · COMPLETED · TERMINATED · WITHDRAWN · SUSPENDED · UNKNOWN</span></td><td>当前状态</td></tr><tr><td class=\"mono\">study_type</td><td class=\"mono dim\">keyword · eq any<span class=\"vals\">INTERVENTIONAL · OBSERVATIONAL · EXPANDED_ACCESS</span></td><td>研究类型</td></tr><tr><td class=\"mono\">intervention_type</td><td class=\"mono dim\">keyword · eq any<span class=\"vals\">DRUG · BIOLOGICAL · DEVICE · PROCEDURE · BEHAVIORAL · DIAGNOSTIC_TEST <span class=\"dim\">…共 11 个，/facets 可列全</span></span></td><td>干预类型</td></tr><tr><td class=\"mono\">condition_mesh</td><td class=\"mono dim\">keyword · eq any</td><td>适应症 MeSH 词（规范词，比自由文本的 conditions 可靠）</td></tr><tr><td class=\"mono\">countries</td><td class=\"mono dim\">keyword · eq any</td><td>试验国家</td></tr><tr><td class=\"mono\">start_year</td><td class=\"mono dim\">integer · eq range</td><td>开始年份区间</td></tr><tr><td class=\"mono\">has_results</td><td class=\"mono dim\">bool · eq</td><td>是否已登记结果</td></tr><tr><td class=\"mono\">sponsor_class</td><td class=\"mono dim\">keyword · eq any<span class=\"vals\">INDUSTRY · NIH · FED · OTHER_GOV · NETWORK · INDIV · OTHER</span></td><td>申办方类型</td></tr></tbody></table></div><details class=\"adv\"><summary>还有 10 个，照样能用</summary><div class=\"tblwrap\"><table class=\"tbl t3\"><thead><tr><th>字段</th><th>类型 · op</th><th>含义</th></tr></thead><tbody><tr><td class=\"mono\">sex</td><td class=\"mono dim\">keyword · eq<span class=\"vals\">ALL · FEMALE · MALE</span></td><td>性别要求</td></tr><tr><td class=\"mono\">sponsor</td><td class=\"mono dim\">keyword · eq any</td><td>申办方名称（精确）</td></tr><tr><td class=\"mono\">intervention_mesh</td><td class=\"mono dim\">keyword · eq any</td><td>干预 MeSH 词</td></tr><tr><td class=\"mono\">biomarker_names</td><td class=\"mono dim\">keyword · eq any</td><td>入排里提到的生物标志物（模型抽取）</td></tr><tr><td class=\"mono\">performance_status</td><td class=\"mono dim\">keyword · eq any</td><td>体力状态要求，如 ECOG 0-1（模型抽取）</td></tr><tr><td class=\"mono\">treatment_naive</td><td class=\"mono dim\">bool · eq</td><td>是否要求未经治疗（模型抽取）</td></tr><tr><td class=\"mono\">enrollment</td><td class=\"mono dim\">integer · eq range</td><td>入组人数区间</td></tr><tr><td class=\"mono\">age_min_years</td><td class=\"mono dim\">integer · eq range</td><td>最小年龄区间</td></tr><tr><td class=\"mono\">age_max_years</td><td class=\"mono dim\">integer · eq range</td><td>最大年龄区间</td></tr><tr><td class=\"mono\">completion_year</td><td class=\"mono dim\">integer · eq range</td><td>完成年份区间</td></tr></tbody></table></div></details>"},"params":[{"name":"query","type":"string","required":true,"in":"body","example":"glp-1 obesity phase 3","desc":{"en":"1–1000 characters. Or an array of up to 5 (batch; hits become results[]).","zh":"1–1000 字符。也可以是最多 5 条的数组（批量，hits 变 results[]）。"}},{"name":"top_k","type":"integer","default":"10","in":"body","desc":{"en":"1–100.","zh":"1–100。"}},{"name":"fields","type":"enum","options":["brief","head"],"default":"brief","in":"body","desc":{"en":"head costs one more credit and returns the head view per hit.","zh":"head 多扣 1 credit，每条附 head 视图。"}},{"name":"filters","type":"json","in":"body","example":"","desc":{"en":"Filter DSL object (see Getting started); declared fields are listed above.","zh":"过滤 DSL 对象（见快速开始）；可用字段见上表。"}},{"name":"mode","type":"enum","options":["hybrid","dense","bm25"],"default":"hybrid","in":"body","advanced":false,"desc":{"en":"Retrieval mode. Leave it out to use the first.","zh":"检索模式。不传就用第一个。"}},{"name":"offset","type":"integer","default":"0","in":"body","advanced":true,"desc":{"en":"Pagination.","zh":"翻页。"}}],"example":"{ \"domain\": \"trials\", \"query\": \"…\", \"hits\": [ { \"id\": \"NCT02082496\", \"score\": 0.83, \"brief\": { … } } ], \"total\": null, \"coverage\": …, \"warnings\": [],\n \"meta\": { \"request_id\": \"req_…\", \"credits\": { \"charged\": 2, \"balance\": 1998, \"pool\": \"allowance\" }, \"latency_ms\": 41, \"cached\": false } }","notes":[{"html":{"en":"<b>Undeclared filter fields return 400</b> rather than being ignored silently. Filters combine with AND; <code>_or</code> / <code>_not</code> are available.","zh":"<b>用了未声明的过滤字段返回 400</b>，不会静默忽略。过滤条件是 AND；可用 <code>_or</code> / <code>_not</code>。"}}]},{"id":"trials-read","domain":"trials","method":"GET","path":"/v1/trials/read/{nct_id}","auth":"optional","status":"live","title":{"en":"Read","zh":"读"},"summary":{"en":"Three depths. <code>detail</code> is the default. Free sample: <code>NCT02082496</code>.<h4 class=\"sub\">Levels</h4><div class=\"tblwrap\"><table class=\"tbl t3 tnum\"><thead><tr><th>level</th><th>credits</th><th>returns</th></tr></thead><tbody><tr><td class=\"mono\">brief</td><td class=\"mono num\">1</td><td>Card: the fields needed to triage, same as in search hits</td></tr><tr><td class=\"mono\">detail <span class=\"dim\">(default)</span></td><td class=\"mono num\">2</td><td>Every structured field (rule-derived plus model-generated; model fields are listed in _enrich.fields)</td></tr><tr><td class=\"mono\">full</td><td class=\"mono num\">5</td><td>Full text (not available yet: the full registry record lives on NAS (ctgov/bulk) and is not in the index)</td></tr></tbody></table></div>","zh":"三档深浅，不传就是 <code>detail</code>。免费样例：<code>NCT02082496</code>。<h4 class=\"sub\">三档</h4><div class=\"tblwrap\"><table class=\"tbl t3 tnum\"><thead><tr><th>深浅</th><th>credits</th><th>返回</th></tr></thead><tbody><tr><td class=\"mono\">brief</td><td class=\"mono num\">1</td><td>卡片：做取舍够用的字段（检索结果里那张）</td></tr><tr><td class=\"mono\">detail <span class=\"dim\">（默认）</span></td><td class=\"mono num\">2</td><td>全部结构化字段（规则字段 + 模型字段，模型字段在 _enrich.fields 里列名）</td></tr><tr><td class=\"mono\">full</td><td class=\"mono num\">5</td><td>全文（建设中：登记记录全文（含各节原文）在 NAS ctgov/bulk，未进检索库）</td></tr></tbody></table></div>"},"params":[{"name":"nct_id","type":"string","required":true,"in":"path","example":"NCT02082496","desc":{"en":"Document id (nct_id).","zh":"文档 id（nct_id）。"}},{"name":"level","type":"enum","options":["brief","detail","full"],"default":"detail","desc":{"en":"How deep to read.","zh":"读多深。"}},{"name":"format","type":"enum","options":["json","md","html"],"default":"json","desc":{"en":"Response shape.","zh":"响应形态。"}}],"example":"{ \"domain\": \"trials\", \"id\": \"NCT02082496\", \"level\": \"detail\", \"view\": \"head\", \"data\": { … } | \"text\": \"…\", \"token_count\": 1834, \"meta\": { … } }","notes":[{"html":{"en":"The older <code>GET /v1/trials/doc/{id}?view=…</code> still works.","zh":"旧写法 <code>GET /v1/trials/doc/{id}?view=…</code> 仍然可用。"}}]},{"id":"trials-read-batch","domain":"trials","method":"POST","path":"/v1/trials/read","auth":"token","status":"live","title":{"en":"Read many","zh":"批量读"},"summary":{"en":"Up to 50 ids, one level. Missing ids come back with <code>error: \"not_found\"</code> and are not charged.","zh":"最多 50 个 id，同一档。查不到的 id 返回 <code>error: \"not_found\"</code>，不扣费。"},"params":[{"name":"ids","type":"array","list":true,"required":true,"in":"body","example":"NCT02082496","desc":{"en":"Document ids.","zh":"文档 id 列表。"}},{"name":"level","type":"enum","options":["brief","detail","full"],"default":"detail","in":"body","desc":{"en":"Level for every id.","zh":"所有 id 共用的档。"}}],"example":"{ \"domain\": \"trials\", \"level\": \"detail\", \"docs\": [ { \"id\": \"…\", \"data\": { … } }, { \"id\": \"…\", \"error\": \"not_found\" } ], \"meta\": { … } }"},{"id":"trials-facets","domain":"trials","method":"GET","path":"/v1/trials/facets","auth":"none","status":"live","title":{"en":"Facets","zh":"Facets"},"summary":{"en":"Legal values for a filter field, so an agent never guesses; precomputed fields carry counts, declared enums come without. Free, no key.","zh":"某个过滤字段的合法值，agent 不用猜；预聚合字段带计数，声明的枚举没有。免费、不需要 key。"},"params":[{"name":"field","type":"enum","options":["phase","overall_status","study_type","intervention_type","sponsor_class","sex","countries","condition_mesh"],"required":true,"example":"phase","desc":{"en":"Filter field with facets.","zh":"有 facets 的过滤字段。"}},{"name":"limit","type":"integer","default":"50","advanced":true,"desc":{"en":"Max values.","zh":"最多返回多少个值。"}}],"example":"{ \"domain\": \"trials\", \"field\": \"…\", \"values\": [ { \"value\": \"…\", \"count\": 3120 } ], \"meta\": { … } }"},{"id":"trials-ask","domain":"trials","method":"POST","path":"/v1/trials/ask","auth":"registered","status":"live","stream":true,"agentic":true,"title":{"en":"Ask","zh":"问"},"summary":{"en":"Agentic Q&A over this domain: the model turns the question into filters plus keywords from the domain's own self-description, reads the hits and answers with [trials:<nct_id> <title>] citations; /stream is NDJSON with real token deltas. <code>effort</code> low / medium / high = 50 / 100 / 200 credits. Append <code>/stream</code> for NDJSON; the first event is always <code>billing</code>. A failure before the first <code>answer_delta</code> is refunded.","zh":"本域的 agentic 问答：模型按自描述把问题翻成检索（筛选 + 关键词），读详情后作答，引用写成 [trials:<nct_id> <标题>]；/stream 为 NDJSON，answer_delta 是边生成边发的真实片段。<code>effort</code> low / medium / high 对应 50 / 100 / 200 credits。加 <code>/stream</code> 走 NDJSON，第一个事件一定是 <code>billing</code>。首个 <code>answer_delta</code> 之前失败会退款。"},"params":[{"name":"query","type":"string","required":true,"in":"body","example":"glp-1 obesity phase 3","desc":{"en":"1–2000 characters. Be specific; ask for numbers if you want numbers.","zh":"1–2000 字符。问得具体；要数字就直接问数字。"}},{"name":"effort","type":"enum","options":["low","medium","high"],"default":"low","in":"body","desc":{"en":"Reading rounds, and the price: 50 / 100 / 200 credits. 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