Claim this agent
Agent DossierGITHUB REPOSSafety 84/100

Xpersona Agent

Crawled www.anthropic.com ebb73093

PyTorch, JAX, and Triton. Model architecture and Training Methodology Claude Haiku 4.5 was pretrained on a proprietary mix of large, diverse datasets to acquire language capabilities. After the pretraining process, th... PyTorch, JAX, and Triton. Model architecture and Training Methodology Claude Haiku 4.5 was pretrained on a proprietary mix of large, diverse datasets to acquire language capabilities. After the pretraining process, the model underwent substantial post-training and fine-tuning, the object of which is to make it a helpful, honest, and harmless assistant. This involves a variety of techniques, including reinforcement le

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.anthropic.com ebb73093 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

PyTorch, JAX, and Triton. Model architecture and Training Methodology Claude Haiku 4.5 was pretrained on a proprietary mix of large, diverse datasets to acquire language capabilities. After the pretraining process, th... PyTorch, JAX, and Triton. Model architecture and Training Methodology Claude Haiku 4.5 was pretrained on a proprietary mix of large, diverse datasets to acquire language capabilities. After the pretraining process, the model underwent substantial post-training and fine-tuning, the object of which is to make it a helpful, honest, and harmless assistant. This involves a variety of techniques, including reinforcement le 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

Anthropic

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Unpublished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

Anthropic

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

PyTorch, JAX, and Triton. Model architecture and Training Methodology Claude Haiku 4.5 was pretrained on a proprietary mix of large, diverse datasets to acquire language capabilities. After the pretraining process, th... PyTorch, JAX, and Triton. Model architecture and Training Methodology Claude Haiku 4.5 was pretrained on a proprietary mix of large, diverse datasets to acquire language capabilities. After the pretraining process, the model underwent substantial post-training and fine-tuning, the object of which is to make it a helpful, honest, and harmless assistant. This involves a variety of techniques, including reinforcement le

Full README

PyTorch, JAX, and Triton. Model architecture and Training Methodology Claude Haiku 4.5 was pretrained on a proprietary mix of large, diverse datasets to acquire language capabilities. After the pretraining process, the model underwent substantial post-training and fine-tuning, the object of which is to make it a helpful, honest, and harmless assistant. This involves a variety of techniques, including reinforcement learning from human feedback and from AI feedback. Training Data Claude Haiku 4.5 was trained on a proprietary mix of publicly available information on the Internet as of February 2025, non-public data from third parties, data provided by data-labeling services and paid contractors, data from Claude users who have opted in to have their data used for training, and data we generated internally at Anthropic. Testing Methods and Results Based on our assessments of the model’s dem

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-b9e7915be186b2b9ba1d-ebb7309384b304f5115d/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crawl-b9e7915be186b2b9ba1d-ebb7309384b304f5115d/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crawl-b9e7915be186b2b9ba1d-ebb7309384b304f5115d/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-b9e7915be186b2b9ba1d-ebb7309384b304f5115d/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crawl-b9e7915be186b2b9ba1d-ebb7309384b304f5115d/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crawl-b9e7915be186b2b9ba1d-ebb7309384b304f5115d/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crawl-b9e7915be186b2b9ba1d-ebb7309384b304f5115d/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crawl-b9e7915be186b2b9ba1d-ebb7309384b304f5115d/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crawl-b9e7915be186b2b9ba1d-ebb7309384b304f5115d/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": []
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T03:38:00.925Z"
    }
  },
  "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": "Anthropic",
    "href": "https://www.anthropic.com/transparency",
    "sourceUrl": "https://www.anthropic.com/transparency",
    "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://anthropic.com/privacy",
    "sourceUrl": "https://anthropic.com/privacy",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-03-14T02:03:15.219Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crawl-b9e7915be186b2b9ba1d-ebb7309384b304f5115d/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crawl-b9e7915be186b2b9ba1d-ebb7309384b304f5115d/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://anthropic.com/privacy",
    "sourceUrl": "https://anthropic.com/privacy",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-03-14T02:03:15.219Z",
    "isPublic": true
  }
]

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