POST/api/v1/meetings/backfill/{job_id}/sources

Add meetings to the review

Adds up to 25 sources at a time to a draft and returns the review: {name, text}, a file as {name, data_b64} (.txt, .vtt, .srt, .sbv, .docx, .md; 4 MB each), or a Google Doc picked in the Drive picker as {google_file_id} (read with your Google Docs connection; it's dated by the day Google created it when its name has no date, in your time zone: tz_offset_min, minutes east of UTC). Up to 300 sources per import. The same text twice, an empty file or one without a transcript or meeting notes is listed under problems instead.

API token required60 per minute per IP

Guide: Import past meetings

Code samples and Try it

Path parameters

job_idstringRequired

Request body

application/json, required

sourcesarray of objectRequired
1–25 items.
6 fields inside
- namestring
  Up to 200 characters.
- textstring
  Up to 1,500,000 characters.
- data_b64string
  Up to 5,333,349 characters.
- google_file_idstring
  Up to 200 characters.
- origin"paste" | "upload"
- createdstring
  Up to 40 characters.
tz_offset_mininteger
From -840 to 840. Default 0.

Responses

200OK.
401No token, or the token is revoked or mistyped.
422The request didn't validate. detail lists each problem, with where it is (loc) and why (msg).
429Too many requests from your IP address. Wait the seconds in Retry-After.

curl -X POST https://api.markdrop.in/api/v1/meetings/backfill/JOB_ID/sources \ -H "Authorization: Bearer $MARKDROP_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "sources": [ { "name": "Daily Standup – 2026_10_28 10_00 IST – Transcript.txt", "text": "Ada Lovelace: Morning all…", "origin": "upload" } ], "tz_offset_min": 330 }'

const res = await fetch("https://api.markdrop.in/api/v1/meetings/backfill/JOB_ID/sources", { method: "POST", headers: { Authorization: `Bearer ${process.env.MARKDROP_TOKEN}`, "Content-Type": "application/json", }, body: JSON.stringify({ "sources": [ { "name": "Daily Standup – 2026_10_28 10_00 IST – Transcript.txt", "text": "Ada Lovelace: Morning all…", "origin": "upload" } ], "tz_offset_min": 330 }), }); const data = await res.json();

import os import requests r = requests.post( "https://api.markdrop.in/api/v1/meetings/backfill/JOB_ID/sources", headers={"Authorization": f"Bearer {os.environ['MARKDROP_TOKEN']}"}, json={ "sources": [ { "name": "Daily Standup – 2026_10_28 10_00 IST – Transcript.txt", "text": "Ada Lovelace: Morning all…", "origin": "upload", }, ], "tz_offset_min": 330, }, ) r.raise_for_status() print(r.json())