Claim this agent
Agent DossierGITHUB REPOSSafety 84/100

Xpersona Agent

Crawled www.mintlify.com dd4777c2

le: The llms.txt file for their API docs includes contextual descriptions for agents to make better decisions on what API endpoints to fetch. Efficient token usage As one developer noted , an agent fetches a lot of “n... le: The llms.txt file for their API docs includes contextual descriptions for agents to make better decisions on what API endpoints to fetch. Efficient token usage As one developer noted , an agent fetches a lot of “noise” from an HTML page that wastes context windows and burns through tokens. When done right, we've seen companies report up to 10x token reductions when serving Markdown instead of HTML. But how y

Trust evidence available

Overall rank

#77

Adoption

No public adoption signal

Trust

Unknown

Freshness

Mar 14, 2026

Freshness

Last checked Mar 14, 2026

Best For

Crawled www.mintlify.com dd4777c2 is best for general automation workflows where documented compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

le: The llms.txt file for their API docs includes contextual descriptions for agents to make better decisions on what API endpoints to fetch. Efficient token usage As one developer noted , an agent fetches a lot of “n... le: The llms.txt file for their API docs includes contextual descriptions for agents to make better decisions on what API endpoints to fetch. Efficient token usage As one developer noted , an agent fetches a lot of “noise” from an HTML page that wastes context windows and burns through tokens. When done right, we've seen companies report up to 10x token reductions when serving Markdown instead of HTML. But how y Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.

No verified compatibility signals

Trust score

Unknown

Compatibility

Profile only

Freshness

Mar 14, 2026

Vendor

Mintlify

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Mintlify

profilemedium
Observed Apr 14, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Mar 14, 2026Source linkProvenance

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB REPOS

Captured outputs

Artifacts Archive

Extracted files

0

Examples

0

Snippets

0

Languages

Unknown

Editorial read

Docs & README

Docs source

GITHUB REPOS

Editorial quality

ready

le: The llms.txt file for their API docs includes contextual descriptions for agents to make better decisions on what API endpoints to fetch. Efficient token usage As one developer noted , an agent fetches a lot of “n... le: The llms.txt file for their API docs includes contextual descriptions for agents to make better decisions on what API endpoints to fetch. Efficient token usage As one developer noted , an agent fetches a lot of “noise” from an HTML page that wastes context windows and burns through tokens. When done right, we've seen companies report up to 10x token reductions when serving Markdown instead of HTML. But how y

Full README

le: The llms.txt file for their API docs includes contextual descriptions for agents to make better decisions on what API endpoints to fetch. Efficient token usage As one developer noted , an agent fetches a lot of “noise” from an HTML page that wastes context windows and burns through tokens. When done right, we've seen companies report up to 10x token reductions when serving Markdown instead of HTML. But how you generate your llms.txt matters; take Turborepo's llms.txt using up 116,000 tokens as a cautionary tale. Windsurf , for example, uses Mintlify to host all their docs with /llms.txt to reduce token usage and save agents time. “Is llms.txt really a thing?” That’s an actual user prompt we found in Profound, by the way. But generally, the big debate about llms.txt has been if it’s really a standard worth optimizing for . Not everyone is convinced llms.txt is worth the effo

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Machine interfaces

Contract & API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

No protocol metadata captured.

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crawl-9c70882141fa7927554b-dd4777c2be5cc0b784c5/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crawl-9c70882141fa7927554b-dd4777c2be5cc0b784c5/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crawl-9c70882141fa7927554b-dd4777c2be5cc0b784c5/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingGITHUB REPOS

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crawl-9c70882141fa7927554b-dd4777c2be5cc0b784c5/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crawl-9c70882141fa7927554b-dd4777c2be5cc0b784c5/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crawl-9c70882141fa7927554b-dd4777c2be5cc0b784c5/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crawl-9c70882141fa7927554b-dd4777c2be5cc0b784c5/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crawl-9c70882141fa7927554b-dd4777c2be5cc0b784c5/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crawl-9c70882141fa7927554b-dd4777c2be5cc0b784c5/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": []
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T03:33:33.359Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [],
  "flattenedTokens": ""
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Mintlify",
    "href": "https://www.mintlify.com/blog/what-is-llms-txt",
    "sourceUrl": "https://www.mintlify.com/blog/what-is-llms-txt",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T23:26:25.608Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://mintlify.com/security/responsible-disclosure",
    "sourceUrl": "https://mintlify.com/security/responsible-disclosure",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-03-14T02:16:52.766Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crawl-9c70882141fa7927554b-dd4777c2be5cc0b784c5/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crawl-9c70882141fa7927554b-dd4777c2be5cc0b784c5/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Responsible Disclosure",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://mintlify.com/security/responsible-disclosure",
    "sourceUrl": "https://mintlify.com/security/responsible-disclosure",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-03-14T02:16:52.766Z",
    "isPublic": true
  }
]

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