tensorfeed 1.3.0

Python SDK for the TensorFeed.ai API: AI news, status, model pricing, premium history series + routing, agent payments via USDC on Base (optional web3 auto-send)

tensorfeed

Python SDK for the TensorFeed.ai API.

Free endpoints (news, status, models, benchmarks, history, routing preview) need no auth. The premium tier (top-N routing, plus more endpoints landing later) is paid via USDC on Base. No accounts, no API keys, no traditional payment processors.

Install

pip install tensorfeed

Stdlib-only. No external dependencies.

Free Tier

from tensorfeed import TensorFeed

tf = TensorFeed()

# News
for article in tf.news(category="research", limit=10)["articles"]:
    print(article["title"])

# Live AI service status
for svc in tf.status()["services"]:
    print(f'{svc["name"]}: {svc["status"]}')

# Is a service down?
print(tf.is_down("claude"))

# Model pricing and benchmarks
print(tf.models())
print(tf.benchmarks())

# Daily history snapshots (the moat)
print(tf.history())  # list of available dates
print(tf.history_snapshot("2026-04-27", "pricing"))

# Free routing preview (top-1 model, 5 calls/day per IP)
preview = tf.routing_preview(task="code")
print(preview["recommendation"])

Premium Tier (paid, USDC on Base)

from tensorfeed import TensorFeed, PaymentRequired

tf = TensorFeed()

# Step 1: get a 30-minute quote
quote = tf.buy_credits(amount_usd=1.00)
print(f"Send {quote['amount_usd']} USDC on Base to {quote['wallet']}")
print(f"Memo: {quote['memo']} (expires in {quote['ttl_seconds']}s)")
print(f"Will get: {quote['credits']} credits")

# Step 2: send the USDC tx with your wallet
# (auto-send via web3 is on the roadmap; for v1.1 you sign and send manually)

# Step 3: confirm with the tx hash
result = tf.confirm(tx_hash="0xYOUR_TX_HASH", nonce=quote["memo"])
print(f"Got {result['credits']} credits, token: {result['token']}")
# The token is also stored on `tf` automatically; routing() will use it.

# Step 4: call premium endpoints
rec = tf.routing(task="code", budget=5.0, top_n=5)
for r in rec["recommendations"]:
    print(f'#{r["rank"]}: {r["model"]["name"]} (score: {r["composite_score"]:.2f})')

# Custom routing weights
rec = tf.routing(
    task="general",
    weights={"quality": 0.6, "cost": 0.3, "availability": 0.1, "latency": 0.0},
)

# Premium history series (1 credit each, range default = last 30 days, max 90)
prices = tf.pricing_series(model="Claude Opus 4.7")
print(f'Price changed {prices["summary"]["delta_pct_blended"]}% over the window')

scores = tf.benchmark_series(model="Claude Opus 4.7", benchmark="swe_bench")
print(f'SWE-bench moved {scores["summary"]["delta_pp"]} pp')

uptime = tf.status_uptime(provider="anthropic")
print(f'Anthropic uptime: {uptime["uptime_pct"]}% over {uptime["days_with_data"]} days')

diff = tf.history_compare(
    from_date="2026-04-01", to_date="2026-04-27", snapshot_type="pricing",
)
print(f'{len(diff["changed"])} price changes, {len(diff["added"])} new models')

# Check remaining credits
print(tf.balance())

Auto-Send (optional, web3 extra)

The base SDK keeps you dependency-free, but if you want to skip the manual tx step, install with the web3 extra:

pip install 'tensorfeed[web3]'

Then tf.purchase_credits() quotes, signs, broadcasts, and confirms in one call:

import os
from tensorfeed import TensorFeed

tf = TensorFeed()

result = tf.purchase_credits(
    amount_usd=1.00,
    private_key=os.environ["TENSORFEED_PRIVATE_KEY"],  # NEVER hardcode
    # rpc_url="https://base-mainnet.g.alchemy.com/v2/<key>",  # optional
)
print(result["token"])      # auto-stored on tf
print(result["tx_hash"])    # for your records
print(result["credits"])    # how many credits were minted

# Token already on tf, so:
rec = tf.routing(task="code")

Security: read the key from a secret manager or env var. Never commit it. The raw key is held in memory only for the duration of one signing call.

Reusing a Token Across Sessions

Save the token after confirm(). Reuse it next time:

# Save once
token = result["token"]

# Reuse in another process / job
tf = TensorFeed(token=token)
print(tf.balance())
rec = tf.routing(task="code")

Error Handling

from tensorfeed import TensorFeed, PaymentRequired, RateLimited, TensorFeedError

tf = TensorFeed(token="bad_token")
try:
    tf.routing(task="code")
except PaymentRequired as e:
    # 402: token invalid, expired, or out of credits
    # e.payload contains wallet, credits required, top_up_at, etc.
    print("Need to top up:", e.payload)
except RateLimited as e:
    # 429: free preview tier hit its 5/day per-IP limit
    print("Hit the rate limit:", e.payload)
except TensorFeedError as e:
    # Other API errors
    print("API error", e.status_code, e.payload)

API Reference

Free

Method	Description
tf.news(category=, limit=)	Latest AI news articles
tf.status()	Real-time AI service status
tf.status_summary()	Lightweight status summary
tf.models()	Model pricing and specs
tf.benchmarks()	Benchmark scores
tf.is_down(service_name)	Check if a specific service is down
tf.agent_activity()	Agent traffic metrics
tf.history()	List of available daily snapshot dates
tf.history_snapshot(date, type)	Read a specific snapshot
tf.routing_preview(task=)	Top-1 routing recommendation (5/day/IP)
tf.health()	API health check
tf.payment_info()	Wallet, pricing, supported payment flows
tf.buy_credits(amount_usd=)	Generate a 30-min payment quote
tf.confirm(tx_hash=, nonce=)	Verify USDC tx, mint credit token

Token-required

Method	Cost	Description
tf.balance()	Free	Check remaining credits
tf.routing(task=, budget=, top_n=, weights=)	1 credit	Top-N ranked routing with full detail
tf.pricing_series(model=, from_date=, to_date=)	1 credit	Daily price points for one model with min/max/delta summary
tf.benchmark_series(model=, benchmark=, from_date=, to_date=)	1 credit	Score evolution for a benchmark on one model, returns delta_pp
tf.status_uptime(provider=, from_date=, to_date=)	1 credit	Uptime % per provider with incident days (degraded = half)
tf.history_compare(from_date=, to_date=, snapshot_type=)	1 credit	Diff two snapshots: added, removed, changed entries with deltas

Auto-send (requires tensorfeed[web3])

Method	Description
tf.purchase_credits(amount_usd=, private_key=, rpc_url=)	One-call quote + sign + broadcast + confirm. Returns token, credits, tx_hash, block_number.

Wallet & Trust

The TensorFeed payment wallet is 0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1 on Base mainnet. USDC contract: 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913.

Cross-check this address before sending funds at:

• https://tensorfeed.ai/llms.txt
• https://tensorfeed.ai/api/payment/info
• https://github.com/RipperMercs/tensorfeed (README)
• https://x.com/tensorfeed (bio)

If any source disagrees, do not send.

Premium Data Terms

Premium API responses are licensed for inference use only. Use of TensorFeed premium data for training, fine-tuning, evaluation, or distillation of ML models is prohibited.

Refunds

Email [e-mail] with the tx hash within 24 hours of the charge for a manual USDC refund.

Links

• API Docs
• TensorFeed.ai
• GitHub
• Changelog

License

MIT