X API

> Drift-prone skill. X API endpoints, access tiers, quotas, and write > permissions change frequently. Verify current developer docs and account > access before quoting rate limits or implementing a posting/search flow.

Programmatic interaction with X (Twitter) for posting, reading, searching, and analytics.

When to Activate

• User wants to post tweets or threads programmatically
• Reading timeline, mentions, or user data from X
• Searching X for content, trends, or conversations
• Building X integrations or bots
• Analytics and engagement tracking
• User says "post to X", "tweet", "X API", or "Twitter API"

Authentication

OAuth 2.0 Bearer Token (App-Only)

Best for: read-heavy operations, search, public data.

bash
# Environment setup
export X_BEARER_TOKEN="your-bearer-token"

python
import os
import requests

bearer = os.environ["X_BEARER_TOKEN"]
headers = {"Authorization": f"Bearer {bearer}"}

# Search recent tweets
resp = requests.get(
    "https://api.x.com/2/tweets/search/recent",
    headers=headers,
    params={"query": "claude code", "max_results": 10}
)
tweets = resp.json()

OAuth 1.0a (User Context)

Required for: posting tweets, managing account, DMs, and any write flow.

bash
# Environment setup — source before use
export X_CONSUMER_KEY="your-consumer-key"
export X_CONSUMER_SECRET="your-consumer-secret"
export X_ACCESS_TOKEN="your-access-token"
export X_ACCESS_TOKEN_SECRET="your-access-token-secret"

Legacy aliases such as X_API_KEY, X_API_SECRET, and X_ACCESS_SECRET may exist in older setups. Prefer the X_CONSUMER_* and X_ACCESS_TOKEN_SECRET names when documenting or wiring new flows.

python
import os
from requests_oauthlib import OAuth1Session

oauth = OAuth1Session(
    os.environ["X_CONSUMER_KEY"],
    client_secret=os.environ["X_CONSUMER_SECRET"],
    resource_owner_key=os.environ["X_ACCESS_TOKEN"],
    resource_owner_secret=os.environ["X_ACCESS_TOKEN_SECRET"],
)

Core Operations

Post a Tweet

python
resp = oauth.post(
    "https://api.x.com/2/tweets",
    json={"text": "Hello from Claude Code"}
)
resp.raise_for_status()
tweet_id = resp.json()["data"]["id"]

Post a Thread

python
def post_thread(oauth, tweets: list[str]) -> list[str]:
    ids = []
    reply_to = None
    for text in tweets:
        payload = {"text": text}
        if reply_to:
            payload["reply"] = {"in_reply_to_tweet_id": reply_to}
        resp = oauth.post("https://api.x.com/2/tweets", json=payload)
        tweet_id = resp.json()["data"]["id"]
        ids.append(tweet_id)
        reply_to = tweet_id
    return ids

Read User Timeline

python
resp = requests.get(
    f"https://api.x.com/2/users/{user_id}/tweets",
    headers=headers,
    params={
        "max_results": 10,
        "tweet.fields": "created_at,public_metrics",
    }
)

Search Tweets

python
resp = requests.get(
    "https://api.x.com/2/tweets/search/recent",
    headers=headers,
    params={
        "query": "from:affaanmustafa -is:retweet",
        "max_results": 10,
        "tweet.fields": "public_metrics,created_at",
    }
)

Pull Recent Original Posts for Voice Modeling

python
resp = requests.get(
    "https://api.x.com/2/tweets/search/recent",
    headers=headers,
    params={
        "query": "from:affaanmustafa -is:retweet -is:reply",
        "max_results": 25,
        "tweet.fields": "created_at,public_metrics",
    }
)
voice_samples = resp.json()

Get User by Username

python
resp = requests.get(
    "https://api.x.com/2/users/by/username/affaanmustafa",
    headers=headers,
    params={"user.fields": "public_metrics,description,created_at"}
)

Upload Media and Post

python
# Media upload uses v1.1 endpoint

# Step 1: Upload media
media_resp = oauth.post(
    "https://upload.twitter.com/1.1/media/upload.json",
    files={"media": open("image.png", "rb")}
)
media_id = media_resp.json()["media_id_string"]

# Step 2: Post with media
resp = oauth.post(
    "https://api.x.com/2/tweets",
    json={"text": "Check this out", "media": {"media_ids": [media_id]}}
)

Rate Limits

X API rate limits vary by endpoint, auth method, and account tier, and they change over time. Always:

• Check the current X developer docs before hardcoding assumptions
• Read x-rate-limit-remaining and x-rate-limit-reset headers at runtime
• Back off automatically instead of relying on static tables in code

python
import time

remaining = int(resp.headers.get("x-rate-limit-remaining", 0))
if remaining < 5:
    reset = int(resp.headers.get("x-rate-limit-reset", 0))
    wait = max(0, reset - int(time.time()))
    print(f"Rate limit approaching. Resets in {wait}s")

Error Handling

python
resp = oauth.post("https://api.x.com/2/tweets", json={"text": content})
if resp.status_code == 201:
    return resp.json()["data"]["id"]
elif resp.status_code == 429:
    reset = int(resp.headers["x-rate-limit-reset"])
    raise Exception(f"Rate limited. Resets at {reset}")
elif resp.status_code == 403:
    raise Exception(f"Forbidden: {resp.json().get('detail', 'check permissions')}")
else:
    raise Exception(f"X API error {resp.status_code}: {resp.text}")

Security

• Never hardcode tokens. Use environment variables or .env files.
• Never commit .env files. Add to .gitignore.
• Rotate tokens if exposed. Regenerate at developer.x.com.
• Use read-only tokens when write access is not needed.
• Store OAuth secrets securely — not in source code or logs.

Integration with Content Engine

Use brand-voice plus content-engine to generate platform-native content, then post via X API:

1. Pull recent original posts when voice matching matters
2. Build or reuse a VOICE PROFILE
3. Generate content with content-engine in X-native format
4. Validate length and thread structure
5. Return the draft for approval unless the user explicitly asked to post now
6. Post via X API only after approval
7. Track engagement via public_metrics

Related Skills

• brand-voice — Build a reusable voice profile from real X and site/source material
• content-engine — Generate platform-native content for X
• crosspost — Distribute content across X, LinkedIn, and other platforms
• connections-optimizer — Reorganize the X graph before drafting network-driven outreach