Skip to main content
Glama
Ibadat-Ali86

Footfall

by Ibadat-Ali86
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Footfall

Real usage, not hype. Validated adoption signals for AI developer tools.

CI License Python Code style: ruff

Footfall tracks how much real use named AI developer tools get, compared with how much attention they get. Tools means agent frameworks, SDKs, MCP servers and models — each tracked as one entity across GitHub, npm, PyPI and Hugging Face.

It stores its own daily snapshots, filters unusual star bursts, classifies each tool's lifecycle phase, and publishes a backtest of its own past calls.

What it ships as

Artifact

Description

Remote MCP server

Three read-only tools for agents

Skill

skills/footfall/SKILL.md — teaches the model to use the tools

Static dashboard

Leaderboards, methodology, backtest, dataset downloads

README badges

shields.io endpoint badges for registry entities

Open dataset

Daily snapshots and weekly features in Parquet

Related MCP server: Dev AI Ecosystem MCP

MCP Tools

Tool

Purpose

footfall_compare

Compare 2–6 tools side by side

footfall_trend

Weekly time series for one tool

footfall_find_rising

List tools in a lifecycle phase

Status

Pre-build. Phase 0 (validation) has not started.

The project is currently at T0.3 Scaffold — the repository structure has been created and is awaiting Gate G0 (name and namespace confirmation) from the human owner, then T0.2 (accounts and secrets).

See docs/BUILD.md for the full product, security and build documentation.

Project Structure

footfall/
├── AGENTS.md                    # AI agent operating rules
├── CLAUDE.md                    # Points to AGENTS.md
├── SECURITY.md                  # Vulnerability disclosure policy
├── pyproject.toml
├── uv.lock                      # Committed, hashes included
├── registry/
│   ├── seed.yaml                # Entities and source mappings
│   └── schema.json
├── config/
│   ├── methods.yaml             # Thresholds, versioned
│   └── sources.yaml             # Allow-listed hosts, limits
├── src/footfall/
│   ├── collectors/              # github.py npm.py pypi.py hf.py hn.py base.py
│   ├── store/                   # Raw writer, parquet, duckdb views
│   ├── features/                # adoption.py attention.py normalize.py
│   ├── phase/                   # rules.py model.py
│   ├── anomaly/                 # bursts.py sampling.py
│   ├── ledger/                  # calls.py resolve.py backtest.py
│   ├── export/                  # entity_json.py leaderboards.py badges.py
│   ├── server/                  # mcp_app.py tools.py validation.py limits.py
│   └── cli.py
├── skills/footfall/             # SKILL.md and references
├── site/                        # Static dashboard source
├── phase0/                      # Notebooks, preregistration.yaml, report
├── tests/
│   ├── fixtures/                # Recorded HTTP responses
│   ├── unit/ contract/ security/ golden/
└── .github/workflows/           # ci.yml daily.yml weekly.yml release.yml

Quick Start (Development)

# Requires uv: https://docs.astral.sh/uv/
uv sync --frozen
uv run pytest -q
uv run ruff check .
uv run mypy src

Roadmap

Phase

Duration

Status

0 — Validate

~2 weeks

🔲 Not started

1 — Data product

~3–4 weeks

🔲 Blocked on G1

2 — Serving

~3 weeks

🔲 Blocked on G1

3 — Launch

~3–4 weeks

🔲 Blocked on G3

What this is not

  • A news feed or general trend dashboard

  • Investment, purchasing, or security advice — every output says so

  • A fraud detector — it flags unusual patterns and says what it saw

  • An "Ask AI" chat box

Contributing

See AGENTS.md for agent rules. Human contributions follow the same task-card discipline described in docs/BUILD.md Section 20.

License

Code: Apache-2.0
Derived dataset: CC BY 4.0 — subject to terms review at Gate G2 before any release

Statistical information about public software projects. Not investment, security, or purchasing advice. Predictions are probabilistic and can be wrong. No affiliation with or endorsement by the projects listed.

This server cannot be deployed

Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • Dev AI Ecosystem MCP

    emily397
    F
    license
    Not graded
    quality
    C
    maintenance
    Provides AI agents with 6 tools for searching Hugging Face models, GitHub trending repos, analyzing GitHub repositories, fetching dev.to articles, Show HN launches, and Product Hunt daily launches. Built for dev tooling research and AI ecosystem analysis.
    -

  • agentcrush

    kristof-sudo
    F
    license
    Not graded
    quality
    B
    maintenance
    Provides protocol-neutral market intelligence for the AI agent economy, with read-only tools to search agents, retrieve details and histories, compare agents, list categories, view category rankings, and access methodology.
    -