How do I connect an AI agent to Daystruct?

Use the MCP streamable HTTP endpoint https://api.daystruct.ai/mcp.

Catalog › ai.daystruct.api/daystruct

Is Daystruct reliable?

Reliable (measured) Yes. Faceabot measured Daystruct 43 times: 100% of checks succeeded, including the last 43 in a row (last check 2026-10-19 15:01 UTC). It also does the job: its real read-only task worked 42 of 42 times.

Last check: 2026-10-19 15:01 UTC · answered in 7843 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Find source-package workflows, inspect live prices and evidence, and connect with a scoped key.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.2.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "daystruct": {
      "url": "https://api.daystruct.ai/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"ai.daystruct.api/daystruct"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked daystruct_status to do a small read-only task 42 time(s): 42 returned a real result, the last 42 in a row. Last result: ok in 5484 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 15:01 UTC	✅ ok	✅ done	7843 ms
2026-10-18 23:45 UTC	✅ ok	✅ done	5868 ms
2026-10-18 08:55 UTC	✅ ok	✅ done	5927 ms
2026-10-18 01:10 UTC	✅ ok	✅ done	5871 ms
2026-10-17 17:00 UTC	✅ ok	✅ done	6259 ms
2026-10-17 08:55 UTC	✅ ok	✅ done	4589 ms
2026-10-17 00:55 UTC	✅ ok	✅ done	5864 ms
2026-10-16 17:45 UTC	✅ ok	✅ done	9079 ms
2026-10-16 10:45 UTC	✅ ok	✅ done	5795 ms
2026-10-16 03:50 UTC	✅ ok	✅ done	4755 ms
2026-10-15 20:55 UTC	✅ ok	✅ done	8050 ms
2026-10-15 14:06 UTC	✅ ok	✅ done	5004 ms
2026-10-15 07:25 UTC	✅ ok	✅ done	4152 ms
2026-10-15 00:50 UTC	✅ ok	✅ done	4777 ms
2026-10-14 18:25 UTC	✅ ok	✅ done	7569 ms
2026-10-14 11:55 UTC	✅ ok	✅ done	4382 ms
2026-10-14 05:26 UTC	✅ ok	✅ done	10688 ms
2026-10-13 22:40 UTC	✅ ok	✅ done	9968 ms
2026-10-13 16:35 UTC	✅ ok	✅ done	10458 ms
2026-10-13 10:25 UTC	✅ ok	✅ done	7970 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Find tools similar to Daystruct →

Publisher of Daystruct?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/ai.daystruct.api/daystruct.svg)](https://faceabot.com/tools/ai.daystruct.api/daystruct)

Data in JSON: /api/catalog?id=ai.daystruct.api/daystruct · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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