Is AgentOps safe to use?

AgentOps has an HVTrust score of 57.9/100 (Grade C), ranked #352 of 1204 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for AgentOps?

AgentOps scores 57.9/100 on HVTracker's evidence-weighted HVTrust scale. It has 5.8k GitHub stars and is categorized under Observability & Evaluation.

AgentOps

agentops-ai/agentops

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frame

Observability & Evaluation Python Grade C Listed MIT

57.9/100

Rank #352 of 1204

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Promising trust profile, but some evidence still deserves review.

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Listing state

Listed

Evidence coverage

Grade A · 4/5 signals

Last push

2026-06-25 · 45d ago

Recent change

Tool Surface Changed +2

Is AgentOps safe? AgentOps scores 57.9/100 (Grade C), ranked #352 of 1204 tracked open-source AI agent projects, on evidence coverage A (4 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 3.5/10; 100% of recent commits are signed; last pushed 2026-06-25. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Observability & Evaluation

#14 Traceroot — 61.4 (C) → #15 OpenLIT — 60.9 (C) → #17 Opik — 48.5 (D) → #18 Ragas — 45.6 (D) →

Quick Trust Read

What Would Improve It

Publish package provenance or release attestations for stronger supply-chain evidence.

Recent Changes

2026-08-09

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-08-08

Rank Moved

Rank dropped 85 spots (#260 → #345)

2026-08-07

Tool Surface Changed

Detected tool/plugin surface changed: declared → none

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 3.5/10. Tighten the weakest checks to improve public safety evidence.

Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.

Refresh maintenance signals The repo was last pushed 45 days ago. Fresh activity helps separate stable projects from stale ones.

Compare with another agent Get email alerts for AgentOps View Observability & Evaluation Report missing data

54.4

Activity sub-score · out of 100

#16

In Observability & Evaluation

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade C reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage A is separate — it grades how many independent signal types back the score (4 of 5), so a high score on thin evidence stays visible. Full methodology →

Activity & Reach

Stars

5.8k

Forks

612

Last Push

2026-06-25

45 days ago

Commits (4 wk)

Downloads (7d)

71,891

pypi

HN mentions (30d)

1179

Open Issues

113

Rank Change

▼7

was #345

Analysis

HVTrust Dimensions vs Observability & Evaluation

57.9 / 100 · 100.0% confidence

AgentOps Observability & Evaluation average (22 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits

9.4 / 25

1.4 below avg 10.8

Identity / Provenance60% listing status · 40% build provenance

10.8 / 18

2.3 below avg 13.1

Transparency50% declared license · 50% OSSF Scorecard

11.5 / 17

in line with avg 11.7

Maintenance60% last-push freshness · 40% commit activity

9.0 / 20

6.4 below avg 15.4

AdoptionLog-scaled stars · package downloads

15.5 / 20

1.2 above avg 14.3

Activity Inputs

54.4 / 100

StarsRepository reach

22.6 / 30

FreshnessLast push recency

18.8 / 25

ActivityRecent commits

0.0 / 25

CommunityFork signal

13.0 / 20

Supply Chain Trust

Package Provenance

None

No package attestations found

OSSF Scorecard

3.5 / 10

OpenSSF Scorecard · scanned Jun 22, 2026 (refresh pending)

Signed Commits

100%

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 5

CI-Tests 1

CII-Best-Practices 0

Code-Review 1

Contributors 10

Dangerous-Workflow -1

Dependency-Update-Tool 0

Fuzzing 0

License 10

Maintained 0

Packaging -1

Pinned-Dependencies -1

SAST 0

Security-Policy 0

Signed-Releases -1

Token-Permissions -1

Vulnerabilities 10

Is AgentOps safe?

AgentOps has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.

Does AgentOps publish package provenance?

No published build provenance is currently detected for AgentOps. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.

Does AgentOps have an OpenSSF Scorecard?

AgentOps has an OpenSSF Scorecard score of 3.5/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.

Is AgentOps actively maintained?

Slowing down. Last push was 45 days ago — keep an eye on whether activity resumes.

What license does AgentOps use?

AgentOps ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Are AgentOps's commits signed?

100% of the last 100 commits to AgentOps are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

AI agent surface

MCP, providers, tool surface

Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support

medium confidence

Declared

MCP support appears present, but direct server implementation is less certain.

Detailed evidence is not shown in the public view.

External Service Dependencies

high confidence

3 detected

Public provider/service dependencies detected.

Credential signal: API keys or service config markers documented.

Tool / Plugin Surface

medium confidence

Declared

Declared plugin/integration surface detected.

Detailed evidence is not shown in the public view.

Package Provenance Drift

high confidence

Match

Published package metadata matches the tracked repo

Detailed evidence is not shown in the public view.

MCP signal live
External deps live
Tool / plugin surface live
Package provenance drift live

How this surface has changed

Detected changes to AgentOps's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.

2026-08-09

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-08-07

Tool Surface Changed

Detected tool/plugin surface changed: declared → none

2026-07-17

Provider Added

Runtime surface grew — new detected provider dependency: Mistral AI

2026-07-04

Provider Removed

Runtime surface shrank — no longer detected: E2B

2026-06-25

Activity Resumed

Activity resumed

2026-06-17

Activity Went Stale

No commits for 90 days

2026-06-05

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-06-05

Provider Added

Runtime surface grew — new detected provider dependencies: Anthropic, E2B, OpenAI

2026-06-05

Mcp Status Changed

Detected MCP server support changed: none → declared

Maintain AgentOps?

For maintainers

HVTrust scores AgentOps from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history

2026-08-09

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-08-08

Rank Moved

Rank dropped 85 spots (#260 → #345)

2026-08-07

Tool Surface Changed

Detected tool/plugin surface changed: declared → none

2026-07-28

Rank Moved

Rank dropped 11 spots (#222 → #233)

2026-07-25

Rank Moved

Rank dropped 10 spots (#210 → #220)

2026-07-17

Provider Added

Runtime surface grew — new detected provider dependency: Mistral AI

2026-07-14

Rank Moved

Rank dropped 25 spots (#162 → #187)

2026-07-13

Rank Moved

Rank dropped 12 spots (#150 → #162)

2026-07-04

Provider Removed

Runtime surface shrank — no longer detected: E2B

2026-06-25

Activity Resumed

Activity resumed

2026-06-25

Rank Moved

Rank rose 41 spots (#221 → #180)

2026-06-25

HVTrust Changed

HVTrust up 7.1pts (52.7 → 59.8)

2026-06-25

Activity Score Changed

Activity score up 17pts (47 → 64)

2026-06-24

Rank Moved

Rank dropped 27 spots (#194 → #221)

2026-06-23

Rank Moved

Rank dropped 13 spots (#181 → #194)

2026-06-22

Scorecard Added

OSSF Scorecard: 3.5/10

2026-06-22

Grade Changed

Trust grade D → C

2026-06-22

Rank Moved

Rank rose 55 spots (#236 → #181)

2026-06-22

HVTrust Changed

HVTrust up 18.8pts (34.1 → 52.9)

2026-06-21

Rank Moved

Rank dropped 15 spots (#221 → #236)

2026-06-17

Activity Went Stale

No commits for 90 days

2026-06-05

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-06-05

Provider Added

Runtime surface grew — new detected provider dependencies: Anthropic, E2B, OpenAI

2026-06-05

Mcp Status Changed

Detected MCP server support changed: none → declared

2026-06-02

Rank Moved

Rank dropped 18 spots (#168 → #186)

2026-06-01

Rank Moved

Rank dropped 20 spots (#148 → #168)

2026-05-29

HVTrust Changed

HVTrust up 7.5pts (24.8 → 32.3)

2026-05-27

HVTrust Changed

HVTrust down 13.1pts (47.1 → 34.0)

2026-05-25

Rank Moved

Rank dropped 58 spots (#79 → #137)

GitHub → PyPI: agentops

Embed Badge Badge guide for maintainers →

For maintainers

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Other agents in Observability & Evaluation

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI · Algolia HN Search API
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.2 · Raw JSON