Xpersona

Crawler Summary

agentops-ai answer-first brief

Local-first AI agent observability platform — tracing, cost/token analytics, error diagnostics, and automated LLM-as-judge evaluation for LangGraph/CrewAI agents. Built with FastAPI, SQLAlchemy, Streamlit, and Ollama. 100% local, no cloud dependencies. AgentOps AI A 100% local AI Agent Observability & Evaluation Platform. No cloud dependencies — storage is local SQLite, evaluation runs through local Ollama models, and both the API and dashboard run entirely on your machine. Stack - **SDK**: Python context managers/decorators for tracing (agentops/sdk.py) - **Storage**: SQLAlchemy + SQLite (agentops/models.py) — swappable to Postgres via AGENTOPS_DB_URL - **API**: F Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

agentops-ai is best for crewai, multi-agent workflows where OpenClaw 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

CardFactsSnapshotContractTrust
Agent DossierGITHUB REPOSSafety: 66/100

agentops-ai

Local-first AI agent observability platform — tracing, cost/token analytics, error diagnostics, and automated LLM-as-judge evaluation for LangGraph/CrewAI agents. Built with FastAPI, SQLAlchemy, Streamlit, and Ollama. 100% local, no cloud dependencies. AgentOps AI A 100% local AI Agent Observability & Evaluation Platform. No cloud dependencies — storage is local SQLite, evaluation runs through local Ollama models, and both the API and dashboard run entirely on your machine. Stack - **SDK**: Python context managers/decorators for tracing (agentops/sdk.py) - **Storage**: SQLAlchemy + SQLite (agentops/models.py) — swappable to Postgres via AGENTOPS_DB_URL - **API**: F

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Shaunakmirajgaonkar

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

View Source

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  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 Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Shaunakmirajgaonkar

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 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 Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

# For local LLM evaluation:
# install Ollama from https://ollama.com, then:
ollama pull phi3
ollama serve

bash

python examples/simple_agent_example.py

bash

streamlit run dashboard/app.py

bash

uvicorn agentops.api:app --reload --port 8000
# then: curl http://localhost:8000/analytics/summary

python

import agentops

with agentops.trace_agent("my_agent", metadata={"user": "shaunak"}) as run_id:
    with agentops.trace_step("llm_call", name="generate", model="phi3") as step:
        output = call_your_llm(prompt)
        step.set_io(input_text=prompt, output_text=output, model="phi3")

python

@agentops.trace_agent_decorator(name="my_agent")
def run(query):
    ...

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Local-first AI agent observability platform — tracing, cost/token analytics, error diagnostics, and automated LLM-as-judge evaluation for LangGraph/CrewAI agents. Built with FastAPI, SQLAlchemy, Streamlit, and Ollama. 100% local, no cloud dependencies. AgentOps AI A 100% local AI Agent Observability & Evaluation Platform. No cloud dependencies — storage is local SQLite, evaluation runs through local Ollama models, and both the API and dashboard run entirely on your machine. Stack - **SDK**: Python context managers/decorators for tracing (agentops/sdk.py) - **Storage**: SQLAlchemy + SQLite (agentops/models.py) — swappable to Postgres via AGENTOPS_DB_URL - **API**: F

Full README

AgentOps AI

A 100% local AI Agent Observability & Evaluation Platform. No cloud dependencies — storage is local SQLite, evaluation runs through local Ollama models, and both the API and dashboard run entirely on your machine.

Stack

  • SDK: Python context managers/decorators for tracing (agentops/sdk.py)
  • Storage: SQLAlchemy + SQLite (agentops/models.py) — swappable to Postgres via AGENTOPS_DB_URL
  • API: FastAPI (agentops/api.py) — traces, analytics, prompt/version mgmt, evaluation triggers
  • Evaluation: Local LLM-as-judge via Ollama, plus rule-based checks (agentops/evaluator.py)
  • Dashboard: Streamlit (dashboard/app.py)
  • Agent framework examples: LangGraph (examples/langgraph_agent_example.py), plain Python (examples/simple_agent_example.py)

Setup

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

# For local LLM evaluation:
# install Ollama from https://ollama.com, then:
ollama pull phi3
ollama serve

Quickstart

  1. Instrument and run an agent:
python examples/simple_agent_example.py
  1. View traces, cost, and token analytics on the dashboard:
streamlit run dashboard/app.py
  1. Or query via the API:
uvicorn agentops.api:app --reload --port 8000
# then: curl http://localhost:8000/analytics/summary

Instrumenting your own agent

import agentops

with agentops.trace_agent("my_agent", metadata={"user": "shaunak"}) as run_id:
    with agentops.trace_step("llm_call", name="generate", model="phi3") as step:
        output = call_your_llm(prompt)
        step.set_io(input_text=prompt, output_text=output, model="phi3")

Or as a decorator:

@agentops.trace_agent_decorator(name="my_agent")
def run(query):
    ...

Evaluation

from agentops.evaluator import evaluate_run, rule_based_eval

# LLM-as-judge (local, via Ollama)
evaluate_run(run_id, metric_name="task_success", model="phi3")

# Rule-based, zero-LLM
rule_based_eval(run_id, "no_error_in_output", lambda out: "error" not in out.lower())

API endpoints

  • GET /runs — list agent runs
  • GET /runs/{id} — full trace for one run (steps, tokens, cost, evaluations)
  • GET /analytics/summary — global cost/token/error-rate KPIs
  • GET /analytics/by_agent — per-agent breakdown
  • POST /prompts — create/version a prompt
  • GET /prompts/{prompt_name} — list versions
  • POST /runs/{id}/evaluate — trigger an evaluation

Notes

  • Cost table in agentops/pricing.py is editable — local Ollama models default to $0.
  • Token counts use tiktoken if installed, else a character-based heuristic — no network calls either way.
  • Everything (DB, evaluation, dashboard, API) works fully offline once Ollama models are pulled.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-shaunakmirajgaonkar-agentops-ai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-shaunakmirajgaonkar-agentops-ai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-shaunakmirajgaonkar-agentops-ai/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Machine Appendix

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/crewai-shaunakmirajgaonkar-agentops-ai/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-shaunakmirajgaonkar-agentops-ai/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-shaunakmirajgaonkar-agentops-ai/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shaunakmirajgaonkar-agentops-ai/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shaunakmirajgaonkar-agentops-ai/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-shaunakmirajgaonkar-agentops-ai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T21:04:13.219Z"
    }
  },
  "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": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Shaunakmirajgaonkar",
    "href": "https://github.com/shaunakmirajgaonkar/agentops-ai",
    "sourceUrl": "https://github.com/shaunakmirajgaonkar/agentops-ai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T17:17:50.390Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-shaunakmirajgaonkar-agentops-ai/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-shaunakmirajgaonkar-agentops-ai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T17:17:50.390Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-shaunakmirajgaonkar-agentops-ai/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-shaunakmirajgaonkar-agentops-ai/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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